NL2033311B1 - User interface and condition monitoring method, system and platform - Google Patents

Abstract

De onderhavige uitvinding heeft betrekking op een werkwijze voor het bewaken van een toestand van een monster dan wel monster verschaffende gebruiker, waarbij de methode omvat het hebben van een monster- ofwel toestandsbewakingsapparaat (PS) zoals een scanner of bloedafnameapparaat, aangepast voor het bij een interactieincident tussen het monster en het apparaat verzamelen van een dataset van het monster via een of meer soorten bewakingsapparatuur zoals een scanner en een lichaamsvloeistofbewakingsapparaat, waarbij de manier waarop de dataset wordt verzameld, afhankelijk is gesteld van, althans gerelateerd wordt aan een geeigende wijze van interactie tussen verschillende soorten bewakingsapparatuur en het monster, waarbij de werkwijze het activeren van een monster-apparaat (PS) interactie omvat bij vooraf gedefinieerde initiatie van het bewakingsapparaat, zoals het invoeren van een gebruikerscode, inclusief detectie daarvan via een token, zoals een rfid-tag of een Bluetooth-verbindende mobiele telefoon, gerelateerd aan de gebruikerscode, waardoor wordt voorkomen dat organismen of objecten zonder een dergelijke code onbewust en/of ongewenst worden gescand.

Description

USER INTERFACE AND CONDITION MONITORING METHOD, SYSTEM AND

PLATFORM

[9001] The present invention typically relates to a method of monitoring, in particular auser interface therefor, of a condition of a specimen using a condition monitoring devices, alternatively denoted data collecting devices such as a scanner device for imaging specimen, such as in medical scanning, with a possibility of the specimen being of any kind of nature, including organic and inorganic bodies, compositions and parts. The invention is fundamental to a wide variety of applications, hence may amongst others further relate to applications like, or may be applied in security scanners such as for airport application. may be applied for monitoring flow of liquids, e.g. like oil or mud, -and in quality control of goods and in control of amount of product.

BACKGROUND OF THE INVENTION

10002] Methods of monitoring a condition of a specimen are implicit to condition monitoring devices, e.g. as in medical scanners such as so-called MRI scanners and from the less widely known advancements relative thereto such as in the article “Advancements in Transmitters and Sensors for Biological tissue using Magnetic

Induction Tomography”, alternatively denoted MIT, in Sensors 12. 2012, by Zakaria et al. Additional to the new method of monitoring presented here, the present application also provides a potential elaboration on the latter tvpe of magnetic scanner in the form of pulsed magnetic induction tomography or PIT. - In principle also advancement in

MRI such as e.g. published in WO2020141435 might be applicable. {0003] Such implicit methods are however, generally quite simplistic in nature, in the sense that data of a scan is transformed into an image. which is observed and commented by a radiologist. Hence they provide a momentarily observation, and rather provide a condition assessment than a monitoring system. Underlying to the present invention it is recognized that the latter also typically, it is of a state where a disease is expected, where normally no scan of the specimen person in ordinary or healthy condition is available, and where certainly not many scans or other monitoring data are available. At best a known system might, at least in hind sight be concluded from a possible invitation or decision by a medical specialist to execute an additional scan at a later point in time. Yet, for as far as such could be mentioned a monitoring system, it is limited both in number of scans performed and the reason for initiating such scans, in that the monitoring is initiated only upon indication or suspicion of a disease or anomaly. [ooo4] It is an insight underlying the present invention that a method of condition monitoring should not necessarily be initiated bv a suspected illness. but rather should be designed as part of regular live. even of daily living. Hence the present invention is directed the development of a method and system for the latter purpose. While in principle such method is applicable using any type of scanner device, optimal advantage of the method conceived may be attained in combination with a purposely adapted type of monitoring device such as scanner device or any other device capable of generating relevant information, i.e. data at a sufficiently high frequency of inspection of the specimen, e.g. daily.

[0005] In the latter respect, in case of scanners, designs on the basis of Magnetic

Induction Tomography seem to be most suitably for such application, even where X-

Ray designs may have become much more sophisticated e.g. using X-ray pulses directed towards a scintillator for acquiring optical images in conjunction with a timed shutter device as in WO2020141435. Advancements in research within the field of magnetic induction may apart from above cited document be known from publications like’ "A magnetic induction tomography system for samples with conductivities below 10 Sm—1" in Meas. Sci. Technol. 19 (2008) 045501 (11pp). which latter provides an example of a setup with coils and measuring matter in between. An advantage of this technology is that it maintains an advantage of absence of galvanic coupling between the device and the object to be image. Researcher Dugo Gursoy in this respect, in his 2011 article * Enhancing Impedance Imaging Through Multimodal Tomography” proposes a concept of this technology in which an oscillating primary, generated by an excitation coil with a conductive medium under investigation. A sensor side of this concept senses the field caused hereby as well as a secondary field of eddy currents induced in the medium during primary field propagation and penetration therein.

[0006] Tt is further also remarked that effecting a stronger field or realizing a more sensitive sensing coil is a balance between the number of windings, the current through the windings and windings, the reactive impedance, and the surface area of the coil, which disturbs measurements at higher frequencies. Traditionally MIT had applied low currents and large coils, and therewith in fact rendered poor signal and much blur. In fact, not very much unlike earlier types of Roentgen scanners. Contemporary roentgen scanners. in fact like PIT one could say. already avail of a very small source and little blur. A significant difference is however that PIT is more sensitive for reason that it has enabled a much higher send signal in a safe, i.e. harmless and cost effective manner.

[0007] Itis an object of the present invention to arrive at a new method and svstem of condition monitoring, overcoming certain if not a good deal of draw backs of the known, often merely implicitly present, in fact incident-based and functionally limited methods and systems of monitoring.

BRIEF DESCRIPTION OF THE INVENTION foo08] The present invention, amongst other inventions included in the present description, seeks to arrive at an improved method of condition monitoring, such as of a health condition, of a specimen, such as of objects and in particular but not exclusively organisms such as humans, the method comprising having a monitoring device such as a scanner device adapted for collecting data, typically in the form of data sets collected from the specimen by the monitoring device, such as data sets based on distortion from radiation emitted by the scanner device during passage of the specimen relative to the scanner device (PS), functionally connected to an electronic condition monitoring system (CBH) availing of computing means, e.g. a cloud based electronic platform, including a storage (CLS) for storing one or more data sets (CRSSD: IS: PI; MI), the computing means programmed for comparing data of a second collection such as of a second passage, with data of a first collection, such as of a first passage of the specimen, identifying any difference between the data of these passages, with the second collection being performed. i.e. being an interaction between the specimen and the monitoring device, at a distinctly different point in time.

[0009] Such a new kind of condition monitoring allows specimen such as humans in the case of organic specimen, to start monitoring a health condition independent from monitoring experts such as medical doctors. The now proposed method initially aims at pre-diagnostics, considering the extension that the need for expert interpretation will reduce over time, amongst others through artificial learning within the system. The new method aims at having the need for consulting a medical expert reduced, and/or have such abundance in back-ground data and information, that interpretation by the medical expert may become more precise and/or less time consuming. More in particular the new method and set-up or system also allows for the condition monitoring device to become locatable remote, i.e. independent from the expert. In conjunction this renders the new condition monitoring system to be operable and/or used independent from experts and institutes such as hospitals operating condition monitoring devices, i.e. making these available to the public. An important aspect of the present invention is that it hence not only allows for significantly more economic and efficient monitoring systems, but also that it enable condition monitoring of specimen over long periods of time and for early alarming in case of sign of development of a potential anomaly in the condition of a specimen over time. [oto] An example of a complex data source is data such as an MRI, CT or other type of medical scan but a complex data source can also be blood analysis such as available from standard blood testing in a hospital or lab-on-a-chip type devices that enable analysis of blood or bodily fluids in non-hospital environments. fooi] Data source dependent pre-processing will be dependent on the source of information. In the case of a scan this can be feature recognition, image refinement or combination of data from different types of scanning devices similar to the building blocks in the branch of the scanner.

[0012] In case of a complex data source the health monitoring system could also be fed with pre-processed data negating the need for the pre-processing step.

[0013] An example of a simple data source could be a heart rate monitor or blood pressure monitor. typically so-called “smart” monitor’s, where little pre-processing may needed.

[0014] A next source of information is the time and state information provided by the user. This can be for instance in what state a scan was made or other source of data was provided, was this e.g. retuming home from a marathon or calmly walking out.

Similarly a user can have the option to input information on known family issues, past medical issues, geographic location, state of mind/stress level, sufficient sleep, just having had a, perhaps somewhat “heavy”, party etcetera, as these tvpes of information will facility recognition of significant changes and/or diagnostics or pre-diagnostics.

[0015] The data from additional information is stored in the cloud and passed on to the module for recognition of significant changes where all information is combined. In the case of e.g. a scan the same logic holds as for analysis of PIT base scans. In case of e.g. a blood analysis a comparison to individual history and a general population can be done in order to identify relevant changes. In case of e.g. heart rate monitoring user information on e.g. exercise regimen can be used to identify significant changes as the level of exercise just prior to the measurement will influence the result. At can be envisioned that depending on the design of the AI based (pre) diagnostics the need for an Al based recognition of significant changes can be reduced or fully negated by (partial) incorporation in the (pre) diagnostics module.

[0016] Everywhere in this text where “user” is mentioned this can also be an individual or system mandated by the user to provide said information to the health monitoring system such as e.g. a doctor, a device such as a health app etc.

[0017] Itis to be remarked that where the invention is presently illustrated along the example of a monitoring device that can safely and practically be made available to the general public, in the form of a scanner device, the method applies to any type of monitoring device, one such other example e.g. being a blood analyzing device. While the present method is designed to be electronically connected to a platform, be it in the so-called cloud or be it a so-called internal network design, so as to allow extensive artificial intelligence to be applied, not in the last place in conjunction with data from other platform users, a practical feature holds that part of the processing on data as collected through the monitoring device, is, at least may be performed on local computing means, which may be functionally connected with the monitoring device, or which may be integrated therewith. Hence the invention holds that the monitoring device may physically or functionally be adapted to support pre-processing of data collected data before transmitting the same to the monitoring platform, thereby amongst others reducing the extend of dataflow required to go to and through the platform. Also, the platform is designed and adapted in such manner, functionally and or physically, that at least measured data, i.e. data collected by a condition monitoring device, or information may be entered into the platform. The platform may therefor connect to other platforms and/or to a central platform for routing and servicing connections, and/or for assembling data information from other users. In practice the latter will mean subscribers to a condition, e.g. health monitoring service as enabled by the platform according to the present invention.

[0018] This the invention includes a method and system in which at least part of the process steps is performed on local computing means, typically up to a step of determining so called key performance indicators, typically reducing the data flow as derived from a scanner device towards the condition monitoring system, as compared to the amount of raw data resulting from measuring return signals. It is also to be remarked that a data set is composed of data sets from a multiplicity of relative scan passages at distinctly different points in time of the specimen, rendering the present invention distinct from any actual or hypothetical doublings, e.g. back and forth scanning movements in the example of conventional scanners, at an in fact actually single relative passage or visitation of the specimen and the monitoring device or vice versa. A distinct point in time may be determined by the specimen in case of the specimen being an organism or its owner in case of an object. without restriction to the amount or interval of passing the monitoring, e.g. scanner device, more in particular may also in case of organisms typically be one or a number of times per day, week or months ect.

[0019] In the method and system of the invention, over time regularly one or more condition diagnostics may be established, typically but not necessarily only, at least at time intervals as determined by certain to be expected forms of condition changes, such as potential illnesses in case of the specimen being human or an organism otherwise, e.g. within a day or in the order of months and vears. Typically, in the present invention, data sets of a number of data sets from consecutive interactions relative between specimen and monitoring device at distinct points in time, e.g. of scan passages are combined, e.g. fitted, to enhance accuracy of a resulting, so-called refined image as may be derived from a data set. Also, image derivation may be performed by way of an iterative image reconstruction approach, using a so-called filtered back projection of at least a first data set of a specimen as a starting point. It is remarked that filtered back projection is only one way to derive a start for the iterative approach. Other approaches are also possible where the most likely one is to use the image from the previous scan as starting point.

[0020] Favorably, data of a data set are pre-processed by way of a mathematical operation thereon, in particular using a fast Fourier transform or a wavelet transform, typically reducing the data of a set as stored in advance of e.g. reconstruction of an image therefrom. Typically, local data processing by local computing means may take place up to this point, despite that in principle all steps of the present invention may be performed locally. For reducing dataflow, raw data sets may be stored only locally or may be transferred at a instance, e.g. determined, i.e. upon request by the monitoring platform. Such pre-processing is typically performed in advance of further operations

<7. on data of a data set, such as image reconstruction, Image refinement, feature recognition and significant change recognition. Further, scan data is in the present method and system transformed, at least arranged within the system or in a method step. into key performance indicating data, typically per channel and/or per frequency, as may be applied by the scanner device.

[0621] A key performance indicator, denoted KPI, is in the present set-up calculated on the bases of any one or more of the following features: the maximum amplitude of the received pulse for each frequency sub-signal over the duration of the send pulse; the phase shift or speed of passage through the object of the received pulse with respect to the send pulse, e.g. as related to the material properties of the object under investigation; the distortion of the received signal with respect to the send pulse; any or more of the preceding KPIs applied to higher order frequencies of the sub signals of an emitted signal; any or more of the preceding KPI considered as a maximum within the received signal; any or more of the preceding KPI considered as an average; anv or more of the preceding KPI considered as an evolution over the received pulse.

[0022] Tt is to be remarked that in the present method and system over multiple passages refined image data (IR) may separately be stored. Feature recognition is performed within the svstem, based on comparing images of previous monitoring device visits or interaction, passages in the case of the monitoring device being a scanner, in particular based on refined images. The computing means may be adapted, in particular by using artificial intelligence, for distinguishing significant changes in images, more in particular in features identified therefrom. In one method step of the present invention preferably a pre-diagnostic conclusion from changes in images or identified features is derived and output. Such a pre-diagnostic step or module may comprise involving a, typically artificial intelligence based, self-leaming system, comprising a feedback loop where subscribers to the condition monitoring platform share medical data. This latter feature relating to not only using multiple monitoring devices, but also the method and system feature of allowing collected data to be shared with other subscribers, i.e. if the user so agrees. may be regarded as yet a further fundamental feature to the system and method now proposed. Finally here, it is also remarked that the present invention proposes to use feature recognition, but considers that this step can be skipped and instead the images. or even the raw data is fed into a self-leaming system or module, capable of providing pre-diagnostics.

[0023] Advantageously, in the presently devised set-up correlation is determined, at least analyzed in relation to one or more potential conditions, potentially with multiple users appearing to develop a particular condition such as dementia while having developed certain features, deviating from a pre-existing condition in a certain part of the organism, such as the brain, typically with a deviation occurring long, e.g. many years before actual symptoms have developed. The method and system of the present invention is adapted so as to, on the basis of this new information, re-process the entire known dataset, and analyze if a change may be identified in de scans in retrospect.

Hence having the data, i.e the data from past times, is highly relevant to the optimal support of specimen condition, in particular human health in this system.

[0024] The method of the invention further comprises, additionally to identifying specimen parts, such as organs in case of organisms, and before a step of assessing any pre-diagnostic, the step of identifving if and which specimen parts feature an anomaly, e.g. in the sense that any assessed deviation from a specimen specific and/or from an average from other specimen, is assessed to be “out of the ordinary”. typically expressed in a value such as statistical significance, in order that the method passes such difference to a pre-diagnostic. Data may as part of the present design, in a subsequent step be provided to either one or both of an internal medical professional alternatively denoted medical advisor i.e. operating within, i.e. as part of the condition monitoring system, and an e.g. to be consulted medical professional.

[0025] Yet another aspect of the invention holds that the method comprises storing raw data of a single scan, typically as a set, in advance of any pre-processing or processing of the data, data set or image derived therefrom, typically alongside compressed and/or derived meta data, e.g. as taken from multi-passage sets of images.

The method may comprise image reconstruction from the raw data, utilizing known data relating to the specimen as starting point for image reconstruction, typically thereby significantly reducing computing time.

[0026] As to the interaction between specimen and the monitoring device the method comprises performing automatic recognition of an specimen, e.g. organism passing e.g. a scanner, based on images stored in the storage of the computing means. The method may comprise activating a scanning action of the scanner (PS) upon detection of a token, such as an rfid tag or a Bluetooth connecting cell phone, related to a user code, thereby preventing organisms or objects without such code to get scanned unknowingly and/or unwantedly. Also, the invention comprises that the user interface may be composed of a program or app related to a further computing means such as a cell phone, in particular adapted for consulting personal data such as images. feature and/or pre-diagnostics derived therefrom. Finally, the user interface of the invention incorporates a manner of inputting bodily or personal identification means to the system in case images of a passage cannot be linked to previous images.

BRIEF DESCRIPTION OF THE DRAWINGS

{00271 Various aspects of the invention and an example of a possible embodiment of the invention are illustrated in the drawings in which:

[0028] FIG. 1A and 1B represent a schematic for a new way of health monitoring and/or new way of generating medical support, using bodily directed imaging equipment as applying health monitoring equipment, in conjunction with cloud-based data storage and artificial intelligence.

[0029] FIG. 2 in a block diagram provides a typical set up for magnetic induction tomography system as used for tissue imaging;

[0030] FIG. 3 is a phasor diagram in conventional electromagnetic imaging e.g. as by

FIG. 1, providing a schematic signal view from excitation to detection via a to be investigated object;

[0031] FIG. 4A and FIG. 4B represent a phasor diagram as in FIG. 2, here related to the concept of the invention, with FIG 3B showing instead of one, depicting an embodiment with a number of what may be either receiver coils or receiver antennas;

[0032] FIG. 5 is a representation of magnetic pulses emitted in an imagining device according to the present invention, here with the interval between pulses being considerably larger than a pulse width;

[0033] FIG. 6A to FIG. 6C depict some of the foreseen wave variations of a square pulse signal of the invention, as conceived for a.o. distinguishing individual signals and/or for increasing information density in the signal to be received in response;

[0034] FIG. 7A to 7C represent various possible configurations of a scanning device or portal thereof for the pulsed imaging concept of this invention, with respectively a standing version, a walk-through version and a revolving version; [00351 FIG. 8 is a partial close-up representation of a possible, so-called flashing device of the scanner of the invention, in principle comprising both emitter and receiver coils;

[0036] FIG. 9 schematically depicts the nature and typically possible manner of application use of a device in accordance with the present invention, here in conjunction with a portal like carrier; [00377 The invention will by way of example, along above indicated set of figures be described in more detail in the following.

[0038] FIG.’s IA and 1B by way of example provide a set up or configuration and flow diagram enabled by and conceived for the present concept of condition monitoring such as health monitoring, using specimen investigating devices, which in case of human condition monitoring could include amongst others a body scanning device and/or a body fluid testing device. The present invention could hence also be regarded as method of operating condition monitoring, alternatively denoted medical data collecting devices adapted for electronic or IOT connectivity, e.g. a scanner possibly according to a design as presented in this document. In this respect FIG. 1A and 1B in fact also represent a schematic for a new way of health monitoring and/or new way of generating medical support, using a.o. imaging equipment PS, which may equally be medically installed and operated. but which in principle is used as a personal or family scanner PS, e.g. domestically installed, in conjunction with, i.e. functionally connected with cloud based health monitoring platform CBH using contemporary electronic connection and/or communication means. The health platform CBH to this end, apart from computing means, amongst others includes a data storage systems CLS and distinctive image processing modules, at least computing program parts, including artificial intelligence modules or program parts for processing and interpreting one or a set of images taken by a condition monitoring device. This could e.g. be a scanner PS.

for which a so-called pulsed imaging tomography scanner would be ideally suited because of the ease and speed of scanning that may attained in a harmless, i.e. risk free manner of body imaging. Combining with or using a scanner as part of a mainly cloud based condition monitoring platform, in this example a health platform CBH, includes an advantage of such platform being allowed. at least adapted to periodically get all relevant data from other scanners in order to expand its database, so as to come from changes in scans to pre-diagnosis. Incidentally, it should be remarked that the system also allows for storing data by sending these image data back to the computing means at the condition monitoring device, in this case e.g. the scammer. This may be either temporarily or permanently and may be in place and in addition to storing image data in the platform storage facility.

[0039] This new approach of health care departs from a system involving, at least directed to a user US, a bodily imaging device PS, for sake of simplicity sometimes also denoted as “scanner” PS, which may equally be a personal scanner or an imaging device installed in a health center or equally any other location such as a hospital.

[0040] With such a set-up, a user US may pass a scanner PS, and may be automatically recognized. Such recognition is performed by the cloud-based health platform CBH, by relating the bodily images as transferred to the platform CBH, in particular to cloud storage CLS thereof, to images as already stored therein. joo41] The system of the present invention includes an option of providing bodily and/or personal identification data for linking a recorded image and its meta data to a body, respectively to personal data, such as by additionally optically scanning a body pattern, e.g. a hand and an eye, or by other means such as by typing or speaking in bodily or personal identity parameters. The system may additionally or altematively apply other technologies such as an rfid and as a blue tooth link to a telephone, which latter case may also be used to confirm or decide on any unequivocal recognition, at least initial recognition. Such feature may typically be opted for in applications where a relatively large group of multiple persons would utilize the imaging facility. In principle however, according to preferred mode of use, such request may typically not be installed as default start of operation. Rather such request may only be upon initiation by platform CBH, upon failure of instant recognition. The system of the invention may also be installed fully personal, without any option of including images as recorded other persons, in which case non-recognized. at least clearly deviating images will be discarded by the platform.

[0042] While it may be a safety option to store bodily images without personal identification data linked. it may still be provided as optional to link personal identification data to bodily identification. The system may be set up to link such personal identity data to the bodily identity data in anonymized manner, using contemporary anonymization schemes. In this respect any of various means may be provided such as for linking tvped in personal identification data such as a name, and/or for electing a known user from a user interface, possibly in conjunction with an identification code. Bodily identification, including bodily identification only, may be performed by the platform CBH solely on the basis of earlier scans, however may in principle also be performed in conjunction with recognition, at least simultaneous registration of a bodily pattern, such as of hand and eye, thus providing a back-up identification registration in case the images as recorded cannot be related to images from previous scans.

[0043] Upon an established link between user or body identity and one or more recorded images, an automatic establishment of which may e.g, be initiated by the electronic controls SC of the imaging device PS, which for this purpose may electronically be connected to the health platform CBH, an image recorded by the imaging device may be stored in the cloud CLS. While the images are stored as compressed multi-image storage, here typically in various time or stage related sections

IS, RI and PI, the recorded images are, preferably in first instance also recorded as so called raw single scan data in cloud storage section CRSSD. This storage is in this example performed by a raw data receiving and handling platform module RSSD, and may e.g.. serve future reconstruction improvements, e.g., of recorded compressed images.

[0044] Received raw single scan data is subsequently pre-processed in the platform section of data pre-processing module PPD, using one or more appropriate mathematical operations e.g. using fast Fourier transforms, so as to arrive at e.g., its frequency content, and possibly also at compressed image data, whether Fourier transformed or not. Typically, this data may be further processed, here in section or key performance indicator module KPI, so as to derive key performance indicators, in particular per channel and per frequency, such amplitude and phase. In a subsequent step. here in section or module SIR, single image reconstruction is performed, e.g.. in an iterative manner, and the reconstructed image is stored in the cloud storage CLS, here in a section IS, typically allowing for instant access to actually recorded images.

Yet a further optional, but preferred step in the present new method of health monitoring according to the present invention, is reflected by module or section IR for image refinement. This module is interactive with previously stored images and stores its resulting images in a cloud storage section RI, which includes refined images, and which typically combines data recorded and stored over a period of time of days to weeks, i.e. as a time period of previously recorded and processed images. While such refinement may be performed in various ways, examples of such may include combining different raw data sets before reconstructing, and also interpolation between different images.

[0045] In the embodiment of FIG. 1B, essentially further possible method steps and modules are demonstrated and added to the system, in particular for completing or updating cloud storage CLS, more in particular a section thereof relating to storage of medical information MI. These method steps in this embodiment include the form of a complex data source CDS, inputting data via a further step of and module for data source dependent pre-processing DSP, a method step of and module for simple data sources SDS, and a method step of and module for time and state information TSI. An example of a complex data source CDS is data such as an MRI, CT or other type of medical scan but a complex data source can also be blood analysis such as available from standard blood testing in a hospital or lab-on-a-chip type devices that enable analysis of blood or bodily fluids in non-hospital environments. Data source dependent pre-processing DSP will be dependent on the source of information. In the case of a scan this can be feature recognition, image refinement or combination of data from different types of scanning devices similar to the building blocks in the branch of the scanner. In case of a complex data source CDS the health monitoring system could also be fed with pre-processed data negating the need for the pre-processing step. An example of a simple data source SDS could be a (smart) heart rate monitor or (smart) blood pressure monitor where little pre-processing may needed. A next source of information is the time and state information TSI, provided by the user. This can be for instance in what state a scan was made, or other source of data was provided. Was this state e.g. returning home from a marathon or from calmly walking out. Similarly, a user can have the option to input information on known family issues, past medical issues, geographic location, state of mind/stress level, sufficient sleep. just having had a gigantic party etc. as these types of information will facility recognition of significant changes and/or (pre-) diagnostics. |0046] The data from additional information is stored in the cloud and is in the presently invented system preferably passed on to the module for recognition of significant changes AIR, where all information is combined. In the case of e.g. a scan the same logic holds as for analysis of PIT base scans. In case of e.g. a blood analysis a comparison to individual history and a general population can be done in order to identify relevant changes. In case of e.g. heart rate monitoring user information on e.g. exercise regimen can be used to identify significant changes as the level of exercise just prior to the measurement will influence the result. It can be envisioned that depending on the design of the Al based (pre) diagnostics, the need for an Al based recognition of significant changes can be reduced or fully negated by (partial) incorporation in the (pre) diagnostics module. It is incidentally remarked that everywhere in this text where “user” is mentioned, this can also be an individual or system mandated by the user to provide said information to the health monitoring system such as e.g. a doctor, a device such as a health app etc.

[0047] A send pulse typically consists out of a number of sub signals that are mixed together into the actual send pulse (see FIG. 6C). In the simplest form of implementation these sub signals can be considered as sine waves that are summed together for the duration of the send pulse. This also holds for other wave shapes and ways of combining sub signals. for instance multiplication. When a send pulse is measured, the most obvious key performance indicator (KPI) is the maximum amplitude of the received pulse for each frequency sub-signal over the duration of the send pulse, however also a number of other KPIs are identified. The phase shift or speed of passage through the object of the received pulse with respect to the send pulse is related to the material properties of the object under investigation. As such the phase shift is also a KPI on which image reconstruction may be done in the method and system of this invention. Similarly, another KPI could be the distortion of the received signal with respect to the send pulse as it is likely that e.g. the response of the material under investigation is not linear with the field strength. Other KPIs can also be e.g. any of above KPIs but applied to higher order frequencies of the sub signals as these tend to be generated as well (e.g. the looking at the signal properties at 40MHz when the send pulse uses 20MHz). Further, the above mentioned KPIs can be considered as a maximum within the received signal but also as an average or even the evolution of such a KPI over the received pulse can be of interest.

[0048] Above mentioned is explained as using sine waves to create the send pulse and a Fourier transform so decompose the received signal into the different frequencies. A typical embodiment for the sub signals that together compose the send pulse would be to use prime numbers to generate the frequencies of the different sub signals to ensure that higher order harmonics do not interfere with either the other sub signals or higher harmonics of these sub signals.

[0049] A drawback of using a purely frequency/Fourier based mathematical approach as described above is that the discrete start and finish of the send pulse create discontinuities that create sources of error. A more suitable approach would be to use a set of wavelets as the sub signals that make up the send pulse and on the receive side use a wavelet transform with the known sub signals shapes as basis for the decomposition of the received signal into the different sub signals of the send pulse.

[0030] Altematively other mathematics approaches can be used to come to a similar approach such as above-described wavelet or Fourier analysis. According to insight underlying the present invention, for each case other mathematical approaches KPIs may in principle be generated in much the same ways as for the above described KPIs, which might be used when working with a Fourier analysis tvpe of approach.

[0051] The reconstruction of a full 3D image from measured 2D projections is an inverse mathematical operation within the system, which typically may have more unknown variables to solve than there are available measurement points. This is true not only for the presently discussed PIT scanning but for all medical image reconstruction techniques in general, so also for CT, MRI etc. In the past, the solution for this problem was to create 2D projections from the measurement data and project these back into an image matrix, a method commonly known as filtered back projection. There are a large variety of iterative algorithms in use today, but each starts with an assumed image, computes projections from the image, compares the original projection data and updates the image based upon the difference between the calculated and the actual projections.

The improvement from such an iterative approach can be as drastic as in below image where A is the result of the filtered back projection technique and B is the result when applying an iterative reconstruction algorithm to the same dataset as used in image A.

[0052] For PIT the reasons to elect an iterative image reconstruction approach are according to further insight underlying the invention compelling, since the reconstruction not only suffers from an inverse problem but also the effect of the object on the shape of the field is stronger than with other scanning techniques such as CT. In the case of CT, basically a straight line can be considered between the x-ray source and the detector, and data from the detector can be projected back along this line. In PIT the influence of the object on the line is stronger than in CT, hence creating a need for using an iterative image reconstruction approach.

[0053] Key to the computational time required for iterative image reconstruction is the difference between the assumed initial image and the actual object under study. Not in the last place since PIT is designed and suited for allowing such, it is the expectation that with PIT the system should be designed for coping with a great number of scans to be processed into images on a daily basis. Hence the demand for efficient image reconstruction techniques in the present invention is clear. There are several options to come to an initial estimate for the assumed image that is used as the start of the reconstruction. Similar to iterative reconstruction algorithms for CT or MRL a filtered back projection may be used as an initial image which is true for PIT as well. Itis remarked that “yesterday's”, i.e. the next earlier image may be used as initial image for iterative reconstruction.

[0054] Another main step in the new method of the invention is provided by an artificial intelligence-based feature recognition section or module FR, which module results in storage of actual and/or previous features and/or images in cloud storage section PI. Yet another significant feature of the present invention is reflected by module or section AIR in which significant changes of features and/or images are identified using artificial intelligence-based recognition of significant changes. Also. these significant changes are preferably stored in the cloud storage CLS, in particular in a section, or at least tagged as storage of medical information MI. It is remarked that part of the method of the invention comprises that there is feedback from medical data of other users, allowing the system to find correlations between features and diseases that are new. Also, medical data can also be inputted from other data systems, into the present system, i.e., from other sources, allowing the system of the invention to leam from such input, e.g.. on what is important and what not.

[0035] Based upon the identification of significant changes, be it on the basis of evaluation of images assessed over a time period of time, e.g. a period of days or even less than a day, be it over a time period of months and even years. an artificial intelligence-based pre-diagnostics assessment is made. Preferably the method includes the forwarding of such an assessment to a processing step IMA involving the personal evaluation of the conclusion, alternatively denoted pre-diagnosis by medical advisor

IMA. Where an Al based pre-diagnostic assessment may in principle may be sufficient as a trigger to suggest the user US to attend a physician or specialized medical professional, a subsequent or simultaneous step involves an internal medical advisor

IMA as part of a commercial health monitoring package, in which the AI analysis is evaluated by, and/or further prepared for evaluation by a medical professional, i.e., for assessing a medical conclusion.

[0056] With a method and system according to the present invention, e.g.. utilizing the configuration as described along FIG.’s 1, the method of operation may additionally, alternatively and/or in accordance with a further aspect of the invention also be conceived as follows. As to the question, how to arrive at images for diagnostic purposes. a principal answer is conceived as “by assessing change relative to preceding images, i.e. states or composition of the body”. Yet, just a single image from a condition monitoring device. in e.g. an image derived from data generated by a so- called PIT system could still be entered in the platform or condition monitoring system in order to come to a diagnosis. The acquiring of an image each day, as is with the present invention intended to be domestically or in a clinic with relatively easy access, is used to mathematically lead towards higher resolution of an image. Moreover, it should be remarked that current scanner technology is, at least current scanners are in fact, i.e. in practical sense, not capable of the high number of scans that would be needed for this purpose. It is remarked that, at hind sight, it may be concluded that strictly taken, itis e.g., at MRI, known to apply this principle in that mean values over small steps during passage are acquired as part of a single assessment, which may incidentally, as is the case in the present new method, be composed of many images. In fact, at performing a single scan in the present, new concept, within an available time period of scanning, a repetition of scans similar to that in MRI is performed. In the new method however, due to its set up and in accordance with its new purpose. this may and is even embodied as a vast number of images per assessment. It is to be remarked that it has never before been conceived or suggested to monitor a bodies condition by frequent assessments in the form of regular, e.g. daily imaging using a for this purpose dedicated scanning instrument PS. In MRI and comparable existing equipment however, the number of passages that can be performed is limited a.o. due to the expensive nature of this type of scanning equipment and to the time required to perform a scan using this type of equipment. In fact, even a single further, i.e. second passage at a distinctly different point in time, be it perhaps closely following up, e.g. upon instant evaluation of results from the first scan, can typically not be performed. This may be both for practical reasons of machine scheduling as well as in order to limit the subject of being exposed to one or another type of radiation. Apart from all of that, in practice very often a scan can up to now, only be attained upon medical prescription. In the present set-up, scans of various passages are used for mathematical optimization of the image. These passages may be collected in or a number of days. without the subject being requested to expressly do so. The number of days over which images are used for optimization may be predetermined, e.g. set at ten days, irrespective of the number of passages, may be set at a number of passages, or may at analyzing collected data, be programmed in retrospect in order to compare a condition of a subject in different, freely to be elected points in time.

[0057] It may be evident that at analyzing the collected data. artificial intelligence as known per se, also in the medical field, is applied. Yet a major contribution of the present invention is that the new concept, with the utilization of continuously collected data, allows for comparison of actual, i.e. up to date images with images of the subject at an earlier stage. The present invention hence holds that an alarming signal 1s outputted in case the comparison of a subject with an earlier stage version of the subject suggests a difference of a nature that allows for a warning signal. The system of the present invention may allow the subject to consult a specialist in the field using at least the latest, system established image. Wherever preferred the earlier stage image may also be provided. This in order to not only diagnose in case something strange is detected but also to favorably provide access to a huge database for medical specialists to draw on, vastly much larger than is provided in contemporary medical systems.

(0038) Equally the invention holds that where a detrimental, at least not desired development in the tissue of the subject is assessed by a professional medic, or even suggested by the artificial intelligence of the system, the image data of the subject is used to determine a point in time where an anomaly, at least the concluded or suggested suspicious deviation started to develop. Equally the pace, at which the deviation developed since, is in the new setup assessed by the Al system of the invention, e.g. allowing the medical professional to determine at which pace intervention should be planned.

[0059] A further, equally important feature also allowed by the present pulsed magnetic imaging tomography. is hence in fact not only the most accurate possible assessment of measures of a detected tissue anomaly, but also that the collected amount of data allows for most accurate localization of any anomaly. This feature evidently has the advantage of limiting invasive impact of medical treatment such as surgery to be applied on the body of a subject, by allowing accurate positioning. The feature is used to not only as preparatory material to medical professional, surgeons in particular, but also to pre-feed or otherwise support surgery robots as used and/or supervised by surgery doctors.

[0060] Further, the present concept of pulsed magnetic based image tomography or

PIT for short, allows for detecting or studying illnesses that are either yet unknown or of which the cause is still unknown or not vet fully determined, such as in the case of

Alzheimer in present days. The present invention sets forth so-called big data to study development in various parts of the body that may even not in first instance or at least not directly be associated with an illness under investigation.

[0061] The present invention further sets forth the use of Al in order to pre-shift or select the amount of data that is finally to be judged by a radiologist. For instance, in case a subject passes his or her scanner say 5 to 10 times a day during 365 days a year, the number of radiologists needed to analyses the images acquired would not be sufficient, i.e. in case anomaly or its development is to analyzed. In this respect, radiologist normally typically deal with one or a limited number of images, normally also all relating to a single instance in time. In the present invention Al is used to limit and pre-select the amount of information to be finally judged by a radiologist, and may include a pre-analysis and/or suggestion of one or more possible assessments.

{9062} The information provided by the concept of the present invention is, at least may in practice be added to an MRI or other type of scanner image or data set of the subject, for reason that the pulsed magnetic imaging tomography may react slightly different to some types of tissue than other scanning concepts. Typically, in this respect, amongst others, MRI does quite well in reflecting watery parts of the body, and

Rontchen based techniques, in particular so-called hard X-rays, generally interact quite well interact with substance matter such as bones. PIT, or pulsed imaging tomography of the present invention, on the other hand is suited to trigger upon multiple types of substances in a body by way of the application of multiple frequencies, so that PIT based images or data sets may favorably fitted with a known technique for filling in gaps of these techniques.

[0063] Its to be remarked for sake of definition that data of a scan relates to measured values, while an image is reconstructed from the data of a scan by way of methods such as calculating back of a projection and such as an iterative algorithm of key performance indicators. Also any other concept may be applied which doesn’t need the step from raw scan data to KPIs in order to reconstruct an image. An image may e.g. be made from amplitude data and/or from phase data. as well as from a combination thereof. Typically the platform used in the present method is applied and adapted for storing and analyzing, including comparing of specimen, e.g. person related data: including such data of longer period of time, in principle including life time data or part thereof; such data compared with that of other users of the condition monitoring system or platform CBH: data compared against or correlated with identifiers or characteristics like geography, age. sport routine etc,; and data compared against or correlated with identifiers or characteristics imported from tools or imported by a user or a medical professional. foo64] Finally, with the invention as illustrated in the preceding an important tool is made available in an ongoing development in bringing the progress of bringing medical care closer to home in order to be less invasive and more available to a patient or potential patient is the development of whole or partial on chip analysis of bodily fluids such as blood. First devices are beginning to become available even if for a limited number of tests per device and still at relatively high cost. With further development it is likely that the amounts of illnesses that can be tested with a device will go up and the price will go down. When considering (pre) diagnosis of an illness the key source of information next to a medical scan is a blood test. As such it is deemed at least preferred to expand or further develop a base of condition monitoring devices such as a scanner, e.g. a magnetic imaging tomography system, or any other system for automated monitoring of health with the option to include other devices such a blood testing devices, as either a separate device or as part of the imaging device. The data provided by such additional device, e.g. the blood test can be added to to the pre- diagnostic as additional relevant data from a user, i.e. to data already obtained, to come to a more accurate pre-diagnosis of potential condition or health issues as not only an image of a user is available but also the information from the analysis of the blood of the user can be used. Such a blood testing system can be either for a fixed number of known issues or a generic test device could be created in which multiple different chips for bodily fluids e.g. blood analysis could be used increasing the versatility, also allowing for a doctor to request for specific tests on the basis of a diagnosis of images measured. It is to be remarked that where often a much larger amount of e.g. blood is required than may be relatively easily be extracted from a finger, data from external analysing laboratories may be entered at a later stage, and also, samples taken by the monitoring device may be sent a laboratory where a local analysis device may not be sufficiently adequate. Hence, the system according to the invention allows the user opt to allow external medical data be taken into the platform, and he also allows the user to enter data, intentionally personal medical information, personally.

[0665] The present invention, apart from what has been described in the above and in the hereinafter included set of clauses, also relates to all details in the figures, at least for as far as these are directly and unambiguously retrievable by a skilled person and to everything that is defined in the following set of claims

[0066] FIG. 2 is a a block diagram, developed by Binns et al, of a typical set up for magnetic induction tomography system as described in publication “Imaging molten steel flow process”. Meas. Sci. Technol. 2001, 12, 1132-1138. The diagram generically applies for set ups in Magnetic Induction Tomography, hence forth MIT, hence also applies for other applications of this technology such as biological tissue imaging as in plant, animal and human bodies. This known technology departs from a basic principle of generating a current density distribution inside a body and recording the resultant electric fields. The system conceptually comprises a scanning device 1, with a sensor array 2. controlled by conditioning or control electronics 3 and a host computing device 4, realising useful output 5. here in the form of a matrix, as may be based on executing a reconstruction algorithm on measured data. The computing device may be in the form of a host computer, performing all of the functions of outputting control signals to the scanning device, generally by outputting a control signal to the conditioning electronics 3, receiving measured data and performing an output, or information generating algorithm on the received detector data. The computing device is here connected to the control electronics 3 via electronics control conduit 10 comprising control signal output lines and data input lines to the computing device.

Similarly, the conditioning electronics 3 is connected the scanning device 1. via sensor control conduit 9, comprising both a field control signal output line and a measured signal line. The sensor array of the the scanner device of the typical MIT system of FIG. 2 further comprises excitation coils 6 generating a magnetic field 8, and detection coils or sensors 7. FIG. 2 in the latter respect illustrates the operation of a primary magnetic field as generated by a transmitter or excitation coil 6, a field of currents induced by the object and a receiver coil 7 thereof, alternatively denoted detection coil and sensor.

[0067] With the new technology, now to be elaborated upon, it is obviated to generate currents to be measured within a body or object. Rather, with an unusually large but short lived current, magnetic fields are created, and the parameter of detection with the new technology is change in, i.e. variation of the magnetic field as measured in areas of the body or object. The present invention measures the change in received magnetic field as a consequence of the presence of a specimen in a magnetic trajectory between a transmitter and a receiver. Hence the nature of the specimen strongly determines the magnetic field level received. In respect of this new concept and invention, Figures 7, 8 and 8, schematically depict the nature and possible manner of use of a device and concept designed in accordance with the present invention. Rather than MIT the presently proposed, radically changed and improved concept of imaging, is to typically be denoted by way of Pulse based Imaging Tomography or PBIT, or for short Pulsed

Imaging Tomography or PIT. In figures 4 to 9, the system part comparable to the conventionally denoted flashing part, here preferably denoted scanner or scanning device 2, may in its form and nature according to the present invention in principle ultimately be comparable to that of so-called LED-strips. In a readily achievable and initially perhaps more economical embodiment, the scanner 2 may be embodied as an array of send and/or receive units, incorporated in panels that may be up to typically

10cm of thickness. The invention includes the fabrication or embodiment using an array. buildup of a holder carrying a large number of PCBs where one PCB holds a single or a limited subset of send- and/or receive units. While these may be embodied as emitter and receiver coils, the present design alternatively favorably enables the use.

Le, the embodiment thereof as an antenna, in principle a so-called fractal antenna, more in particular a directional 3D fractal antenna, known per se.

[0068] Where it may be typical to the known MIT concept of figures 2 and 3, that send and receive coils are positioned along a circle, with this being the outer bounds of the imaging volume. In the present, new concept, send units may produce so much signal that receive units that are close may become overloaded. One measure in this respect involves the inclusion of an amplifier with selectable gain as part of the system.

Another, comparatively straight forward embodiment holds that an arrav of transmitters 1s positioned on one side and an array of receivers on the other.

[0069] Another aspect where the presently proposed concept differs from the known

MIT system, is that the computer that performs the image reconstruction from the measurement, rather than a “local” device is configured to be a cloud-based solution, not in last instance for reasons of matters like computational complexity and for enabling a potential to run algorithm-based diagnostics. Where the known MIT concept may typically be set up as a research arrangement, the present invention is directed to providing services, and departs from the idea that central collection and monitoring of data, apart from conclusions or diagnostics in respect of imaging of individual subjects, may also lead to generic conclusions, diagnostics and improvements of both the scanner device and the centrally operated diagnostic algorithms. The invention encompasses that the operator or patient or else object or subject of imaged investigation, will in principle not have a local direct interface to the scanner but rather receives results electronically such as via a smartphone app. In the latter respect, the new concept may use generic data acquisition solutions and bring down costs by multiplexing data. In somewhat more elaborated embodiment, this may be a custom developed data- acquisition system.

[0070] As to the driving electronic circuitry of the new system it is remarked that this can individually or separately energize one of the one or more coils, a subset of the one or more coils, or all of the one or more coils. As a result, if so desired, the driving electronic circuitry can control the shape and intensity characteristics of the magnetic fields generated by the one or more coils of the coil(s) and support housing. In this respect, in a simplest version, various coils of the present invention may be controlled to emit simultaneously, using e.g. distinguished frequencies per coil in order to trace back the various measured signals or. alternatively denoted, which part of a signal is derived from which emitter coil. Moreover, each coil, each subset of the one or more coils, or all of the one or more coils when energized can generate a magnetic field that may be perturbed differently by object tissue than when a different coil or subset of coils of the one or more coils may be energized. {9071} The scanner of the present invention may according to another independent aspect thereof be designed to be applied in conjunction with a scanner base element 18, here port like shaped, such as in a door post. The nature of the scanner of the invention either or not in conjunction with a provided scanner base 18, allow it to be easily applied for many applications, both in medical environments and in other environments, in particular including a domestic one. The scanner of the invention is in the here depicted example embodiment provided with a flexible carrier strip 19 for supporting a system of connected excitation coils or transmitters 6 and detection coils or receivers 5.

The new scanner 2 connects to control electronics via wiring such as pulse or feeding line 12 and resulting, i.e. detected signal line 13. The system comprises otherwise non- depicted control electronics, e.g. positioned in a small cabinet in the vicinity of the scanner device part, which in turn may be controlled by remote computing device, e.g. by wireless transmission.

[0072] While the embodiments of figure 7, the so-called “walk through-" scanner of

FIG. 7B sets forth the ultimate possibility of the present technology, other more conventional geometries are still possible and, in some circumstances, or instances such as early stages of this technology possibly to be preferred. In a perhaps most readily to be realized embodiment, the scanner of the invention would, as in FIG. 7A. also be in the form of a portal, or a generally portal shape in case of two panels. however would require the subject or body to stand still for a brief period of time. Such a portal could be made to form a part of evervday life routine, for instance in the form of two panels mounted in a shower or bathroom. The new scanner may have many type of embodiments forms of use. It could for instance be made part of a chair and desk so that one could get scanned while the person is in sitting position, either purposely or at home or during routine situations such as at work and in case of car driving. In a third main modality of embodying and using the present new technology, represented in FIG. 7C, the new scanner may be arranged with moving parts, analogous to a known, so- called CT scanner. As the requirements for a scanner based on the present new technology are such that a scan can be made anywhere, every imaginable implementation is possible as long as the object, person or body under investigation is part of, or otherwise stated, between a send and a related receive array.

[0073] With the new modality of measuring, i.e. locally measuring, i.e. detecting a value for the strength of a magnetic field, typically for subsequent transformation into information such as by assessing variations of measured strength in a body area, scanner of the present invention provides information that is different from what known types of scanners provide. Also, where e.g.. CT and MRI cannot, at least not easily be combined into one machine or scanning system, the present invention can probably be combined with any of the known type of scanners relatively easily. The invention hence also encompasses the combination of a known type of body or object scanning with a scanner in accordance with the presently disclosed invention or any aspect thereof. Just one but powerful example of such combination is that with PET which can measure metabolic activity. The results hereof may be electronically and/or visually laid alongside one another.

[0074] The technique designed to act as a scanning signal, e.g. as represented in one of FIG.’s 6A-6C, in accordance with the present invention is to create a very high electromagnetic amplitude, a so-called pulse, henceforth EM pulse or pulse for short, in a brief period of time, in which different frequencies are used, typically ranging from 1

MHz up to 500 MHz. Frequencies superimposed on the pulse can be used as carrier, alternatively denoted classifier signals. The exact frequencies used are dependent on both the material and the size of the object under investigation. Incidentally, one practical manner of generating a pulse is by using a MOSFET switch driven by an RF signal to discharge a local high voltage capacitor via a low impedance network which includes a coil, with the coil having the function of generating the field. It goes without say that the person skilled in the present art may also apply other types of antennas without deviating from the present principle of invention.

[0075] Each pulse consists of one or more of these frequencies, and different pulses may use different frequencies, which frequencies are absorbed differently by the specimen under investigation, e.g., human or any other organic or in-organic specimen.

In this respect it is not just about simple absorption, i.e., reduction in amplitude of a signal but also in phase of the signal and deformation from original shape. For instance, a 100MHz block wave, generally represented by FIG. SA with block shaped signal or pulse Pb, superimposed on the one (1) us pulse would no longer be an exact block wave at the point of detection which provides information additional to the reduction of the absolute magnitude of the block wave. Hence the invention in addition to variation in magnetic field strength also detects and analyses, i.e. derives information from signals superimposed on the pulse signal, generally represented by FIG.’s 6B and 6C with superimposed signals Pf and Pt respectively. This feature may be further enhanced in the system by using, i.e. applying well-chosen frequencies per transmitter, which are easily differentiated, multiple transmitters may be made to send at the same time since the pre-specified differentiation of superimposed frequencies allows recognition, i.e. identification of each specific, frequency at the receiver side. In one embodiment of the latter feature, chosen frequencies may for instance be a multiplication of a specific order from each other. Such superimposed signals may form a single group or sets of groups, each with a different qualifier for the uniquely specifying any superimposed signal.

[0076] By using a relatively large number of transmitters and receivers, allowed by the present scanner design, data is obtained with which a reconstruction of the specimen under investigation can be made resulting in a three-dimensional image of the specimen. In such a configuration one or a limited number of transmitters may be active, i.e, produce a pulse, at any given time, while typically a large number if not all of the receivers, at least a number larger than the number of transmitters will be, i.e.. be set active in the system in detecting each transmitted pulse.

[0077] An insight underlying the present invention is that within the system according to the invention, sufficiently high-power density as required for imaging may be achieved by generating a short pulse. in fact an ultra-short pulse, while creating very high-power density. Such pulse duration could typically be between 100 and 10.000 ns for a human specimen, but may also depend on the carrier frequencies needed for the type of specimen. In principle the range up to 1 second may be utilized, however may for the purpose of using common electrical components in normal life expectancy, preferably remain in the order of up to tens of milliseconds. The invention recognizes that if such pulse is generated for a short enough period of time, standard control or scanner components will not be caused to fail. either instantly or over time. In this manner a signal is created of up to 1.000.000 times stronger than when the same power would have been used continuously over a period of time.

[0078] After one pulse is transmitted the present technique switches to the next transmitter allowing the transmitters to be used sequentially thus generating a constant string of pulses for measurement without damaging a transmitter. Such a sequence may be looped for a very large number of times, e.g., up to 1000 times and in fact easily more, in order to generate sufficient resolution in the image to be generated from the acquired receiver signals. It was further recognized as an interesting advantage of the idea underlying the present invention, that at using pulsed signals both the timing and the shape of the pulse generated are precisely known, which makes detection and-or identification of its resulting signal easier.

[0079] In an embodiment of the invention with a positioning tool, the number of emitters and receivers is reduced by having a set of emitter and receiver devices, in fact apart of a scanner on e.g., a portal side, displaceable, preferably slidable, more preferably slidable over part of hole of a side of the body intended to be exposed to the scanner, in one or more pass of the moveable scanner part. In this way the number of emitters and receiver devices can be maintained limited, if preferred for some reason, in that the emitter and receivers of the scanner part are in fact capable of imaging with high density, due to the movability of the scanner past, typically but not necessarily in the longitudinal direction of the body. foogo] It is further remarked that the preceding may be an interesting feature, even where the coils in the concept and system of the present invention may comparatively be maintained very small. In this respect a coil optimally may consist of a number of windings within a range of 1 to 15. Such number is an optimization in the number of windings defines the magnetic field amplification but also increases the impedance of a coil. In conjunction herewith an optimum may be determined as a function of a frequency applied. A present embodiment is provided with coils of a diameter within the range of 1 to 10 mm, presently of 7.5 mm, a number of windings within the range of 1 to 20, presently 15 windings, and a length within the range of 1 to 20 mm, presently 14 mm. Alternatively a coil is in the present invention regarded as an antenna. in which case the length of a wire is taken as e.g.. a quarter of the wave length as in a present design. All within a desire of the present invention to keep emitter and receiver dimension as small as possible. i.e. within the limits of the amount of signal than can in practice still be measured with such designs. Another feature in this respect is a further embodiment of the invention with still further reduction of the size of a receiver and/or emitter by the application of a ferro core, thereby increasing the magnetic surface of eg. areceiver while maintaining the physical size limited.

[0081] A main advantage of the presently proposed design over existing imaging techniques is that the technique of this invention does not use intrinsically expensive technologies, nor potentially harmful technologies such as X-ray and radioactive contrast. Another highly relevant advantage is that it does not require specially trained operators to function. Last but not least it has, certainly in mass production, the potential to become economically available for use to a large. non-specialized public.

The proposed technology is also in size comparatively very compact, increasing the potential installation options to inside a door frame or hallway or similar.

[0082] Although in response to this type of draw backs of the prior art, i.e. including in view of cost, volume and complexity promising comprise, the technique of Magnetic

Impedance Tomography has been proposed for quite some time, it has been under investigation in the scientific world since at least 2000 without practical result so far. In this earlier research the frequency and the amplitude of the signal is chosen as continuous and not as a pulse which results in a very low signal to noise ratio on the receiver side. Follow up research was hence focused on enhancing the sensitivity of the receiver. An advantage of the present invention in this respect is that it rather uses a very high amplitude signal in a very short period of time, i.e. a pulse, so as to dramatically increase the signal to noise ratio while keeping the total energy in the system, a factor of energy over time including the off time in between pulses, resulting in currents that are very high, however with the advantage of favorably causing very large EM field, and yet acceptable for reason that it exist in only a very short period of time. With this measure, while electronic components typically may be used well outside their specification for normal use, it is prevented that in the electronics in, or the circuit that forms the send signal, heat is created and dissipated up to a point where electronic components get damaged in accordance with conventional expectancy at use of electronics in such manner. Such send circuits typically include components such so- called mosfet switch, capacitor, resistors, a coil and smaller electrical components supporting the creation of the desired electric circuit

[0083] The result as well as the characterizing specifications of use of the method according to this invention are however spectacular. Where typical currents at application of Magnetic Impedance Tomography (MIT) are in the milli-Ampere (mA) range, the currents used in this invention are typically up to and well above 100A for the duration of the pulse. Where the MIT related research shows that an EM signal can be used to detect a specimen but, it also assessed that the issues of image resolution, signal-to-noise ratio and measurement speed had not been resolved. In contrast the present invention, with what may be referred to as the PIT technology. resolves all of these issues by the change towards using a pulsed signal. The invention thereby enables much smaller sized and thus a high density of send and receive units 6 and 7, in turn rendering in fact unprecedented high imaging resolution.

[0084] In application of the new method and device of scanning, new forms of application, which may in principle be subject of independent claims, of imaging come into perspective. The invention hence further holds applications like early diagnose, or signaling measuring for early indication that visit or opinion of a physician may be required. This could e.g., include to collect data from people in their healthy state on a daily basis, creating a large and very extensive understanding of the healthy situation of each person that owns a scanner. By placing the scanner at home and creating this data the difference with the normal, healthy situation, results in a very early diagnose of “abnormalities”. The very early diagnose makes less invasive treatments possible.

Typically, such diagnose is not medical. Rather it is a diagnosis of occurring changes of the body. The personal data combined with the “all-user™ data, and recorded future illnesses of any of the users, results in a steep learning curve and more precise diagnosis. When a user describes the diagnose from a doctor the past data will be rerun with the diagnosis looking for clues to detect the illness. That knowledge is than used on all user-data / images. This combination increases the learning curve of the diagnosis extremely and makes precise diagnostics and early diagnostics possible.

[0083] In known, current practice, a scan is diagnosed by a doctor or SW based on the “average” and “general” image. The specific view of a specific person when healthy is unknown since making a scan is expensive. Most people only get a scan when ill. The data of patients are not shared on a broad level and therefore the learning curve 1s limited. In the existing practice and technology, the large amount of data and the privacy laws prevent sharing of data, which limits the information used to make a diagnosis. The scanner is owned by the medical facility and the doctor but the data is effectively “private” of a patient. With the present scanner, no medical examination is performed. Rather anyone may and will be able to use the new method and device for personal assessment of changes in the daily condition, hence as a basis for, ideally early stage of, attending a physician. Making the scanner available to the public and therefore providing a cheap alternative for early diagnostics both the tool and the data are the HW owners. But in order to benefit from the diagnostics the owner can only use the function when data is shared. Both for the benefit of getting the early diagnosis but also to increase the learning curve and optimize end improve the diagnosis. Strengthening the “community” with each scan and with each new member.

[0086] For instance, in supporting the preceding, the invention further encompasses software based, i.e, automated diagnosis or early diagnosis based on data collected with the new system. The large amount of data coming from all users of the medical scanner results is analyzed with machine learning to create a very early diagnosis. Through the use of the healthy state image that is completely analyzed and used as a “fingerprint” of the user through machine learning. The smallest change will be detected by using machine learning to check the difference between now and all scans in the past (healthy state). The combination of machine learning and the large amount of healthy data makes the personal and early diagnosis possible: machine learning is necessary to analyze the difference effectively.

[0087] Currently a scan is diagnosed by a doctor or SW based on the “average” and “general” image. The specific view of a specific person when healthy is unknown since making a scan is expensive. Most people only get a scan when ill. The data of patients are not shared on a broad level and therefore the learning curve is limited. In this respect the existing medical technology has the disadvantage that the large amount of data and the privacy laws preventing sharing of data limits the information used to make a diagnosis. The scanner is owned by the medical facility and the doctor but the data is effectively “private” of the patient. Hence, making the scanner available to the public according to the present proposal and invention, and therefore providing a cheap altemative for early diagnostics both the tool and the data are of the hardware owners.

But in order to benefit from the diagnostics the owner can only use the function when data is shared. Both for the benefit of getting the early diagnosis but also to increase the learning curve and optimize end improve the diagnosis. Strengthening the “community” with each scan and with each new member.

[0088] CLAUSES: in the following, the invention is further described by way of a coherent set of definitions in the form of clauses, including various parts thereof that may be applied either in conjunction or separately, i.e. independently. 1. Method of monitoring a condition of a specimen, such as of a health condition, such as of objects and in particular but not exclusively organisms such as humans, the method comprising having a condition monitoring device (PS) such as a scanner or blood sampling device, adapted for collecting a data set from the specimen through one or more types of monitoring devices such as a scanner and a bodily fluid monitoring device, at an interaction incident between the specimen and the device, with the manner of collecting the data set depending on, at least related to a particular mode of interaction between different types of monitoring devices, and the specimen, the monitoring device functionally connected to an electronic condition monitoring system (CBH) availing of programmed computing means, e.g. a cloud or an internal network based electronic platform, including a storage (CLS) for storing one or more data sets (CRSSD: IS; PI; MI) the computing means or platform adapted to service a multiplicity of users, each user providing or forming a specimen in the interaction thereof with a specimen condition monitoring device, the computing means programmed for comparing data of a second data collection. such as data collected at a second, i.e. follow up interaction between the monitoring device and the specimen, e.g. ata passage relative to a scanner device or at interaction with a bodily fluid collecting device, and/or for comparing of corresponding data from a population, i.e. of other users of the platform that have agreed to share the data as collected by them, with data collected at a first interaction between specimen and monitoring device, 1dentifving any difference between the data of these interactions, with the second interaction being one of the specimen at a distinctly different point in time.

2. Method in accordance with the preceding clause. in which the method comprises storing raw data of a single device to specimen interaction, typically as a set, in advance of any pre-processing or processing of the data, data set or any image derived therefrom, typically alongside any compressed and/or derived meta data, e.g. as taken from data from multi-specimen-device interactions. 3. Method in accordance with clause 1 or 2, in which a data set is composed of data sets generated from measurements executed by a monitoring device at a multiplicity of interactions between device and specimen, at distinctly different points in time.

4 Method in accordance with either one of clause 1, 2 and 3, in which a distinct point in time is determined by the specimen in case of the specimen being an organism or its owner or user in case of an object, without restriction to the amount or interval of interaction between the specimen and the monitoring device, such as passing the scanner device (PS) and/or a blood or other body fluid monitoring device, more in particular may also in case of organisms typically be one or a number of times per day, week or months etc.

5. Method in accordance with anyone of the preceding clauses. in which the system over time regularly establishes one or more condition diagnostics, typically but not necessarily only, at least at time intervals as determined by certain to be expected forms of condition changes, such as potential illnesses in case of the specimen being human or an organism otherwise, e.g. within a day or in the order of months and years. 6. Method in accordance with any of the preceding clauses, in which over multiple interactions refined image data (IR) is separately stored in the system.

7. Method, in particular in accordance with any one of the preceding clauses, in which one of the monitoring devices is a scanner device, and in which data sets of a number of data sets from consecutive interactions with the scanner such as relative scan passages at distinct points in time, are combined for reconstruction and/or fitted by combining scan data after reconstruction, in particular to enhance accuracy of a resulting. so-called refined image as may be derived from a data set.

8. Method in accordance with any of the preceding clauses. in which the method comprises image reconstruction from the raw data, utilizing known data relating to the specimen as starting point for image reconstruction, typically thereby significantly reducing computing time.

9. Method in accordance with the preceding clause. in which image derivation is performed by way of an iterative image reconstruction approach, using a so-called filtered back projection of at least a first data set of a specimen or using data of a standardized. hypothetical person, scaled towards one or more relevant parameters such as height, weight, age and gender as a starting point. 10. Method in accordance with the preceding clause in which a further operation is any one or more of image reconstruction (SIR), Image refinement (IR), and feature recognition (FR). 11. Method, in particular in accordance with any of the preceding clauses, in which at least part of the process steps is performed on local computing means, typically up to and including a step of determining so called key performance indicators, tvpically reducing the data flow as derived from a monitoring device (PS) towards the condition monitoring system, as compared to the amount of raw data resulting from measuring return signals. 12. Method in accordance with any one of the preceding clauses, in which data of a data set is pre-processed by way of a mathematical operation thereon, e.g. using a fast

Fourier transform or a wavelet transform, typically reducing the data of a set as stored in advance of e.g. reconstruction of an image therefrom. 13. Method in accordance with any of the preceding clauses, in which such pre- processing (PPD) is performed in advance of any further operations on data of a data set, in particular in which a further operation is any one or more of image reconstruction (SIR), Image refinement (IR), and feature recognition (FR). 14. Method in accordance with any of the preceding clauses, in which scan data is transformed, at least arranged within the system, i.e. in a method step, into key performance indicating data. 15. Method in accordance with the preceding clause in which, the monitoring device 1s a scanner, and in which the transformation is performed per channel and/or per frequency, as may be applied by the scanner device. 16. Method in accordance with any of the preceding clauses, in which, a key performance indicator, denoted KPI, is calculated on the bases of any one or more of the following features - the maximum amplitude of the received pulse for each frequency sub-signal over the duration of the send pulse;

- the phase shift or speed of passage through the object of the received pulse with respect to the send pulse, e.g. as related to the material properties of the object under investigation:

- the distortion of the received signal with respect to the send pulse:

- any or more of the preceding KPIs applied to higher order frequencies of the sub signals of an emitted signal:

- any or more of the preceding KPI considered as a maximum within the received signal:

- any or more of the preceding KPI considered as one of an average and a mean modus;

- any or more of the preceding KPI considered as an evolution over the received pulse.

17. Method, in particular in accordance with any of the preceding clauses, in which an operation on at least specimen data is of a diagnostic nature, in particular directed at significant change recognition (AIR).

18. Method, in particular in accordance with any of the preceding clauses, in which feature recognition, i.e. the recognition of constituent parts of the specimen, in case of organisms e.g. hart and lungs, is performed within the system, and which recognition may, e.g. when deemed needed, be based on refined images.

19. Method in accordance with any of the preceding clauses, in which the method comprises. additionally to identifying specimen features, such as organs in case of organisms, and before a step of assessing any pre-diagnostic, the step of identifving if and which specimen parts feature an anomaly, e.g. in the sense that any assessed deviation from a specimen specific and/or from an average from other specimen, is assessed to be “out of the ordinary”. typically expressed in a value such as statistical significance, in order that the method passes such difference to a pre-diagnostic.

20. Method in accordance with any of the preceding clauses, in which the computing means is adapted, in particular by using artificial intelligence, for distinguishing significant changes in and/or between images as taken in distinct points in time, more in particular in features identified therefrom.

21. Method in accordance with any of the preceding clauses, in which in a method step, a pre-diagnostic conclusion from changes in images from distinct points in time, or identified features is derived and output.

22. Method in accordance with any of the preceding clauses, in which a pre- diagnostic step or module comprises involving a, typically artificial intelligence based, self-learning system. 23. Method in accordance with any of the preceding clauses, in which the system comprises a feedback loop where subscribers to the condition monitoring platform (CBH) share medical data, and wherein the shared medical data may be used both for comparing the medical data of an individual specimen with that of subscribed users, and developing higher level medical insight, i.e. irrespective of developments within an individual specimen, e.g. subscriber to the system.

24 Method in accordance with any of the preceding clauses, in which correlation is determined, at least analyzed in relation to one or more potential conditions, potentially with multiple users appearing to develop a particular condition such as dementia while having developed certain features, deviating from a pre-existing condition in a certain part of the organism, such as the brain, tvpically with a deviation occurring long. e.g.

many years before actual symptoms have developed.

25. Method in accordance with any of the preceding clauses, in which the system provides for analyzing collected data retroactively, upon assessment, or being provided with information from other source, or added later in time by the specimen or its owner or user.

26. Method in accordance with any of the preceding clauses, in which data may be provided to either one or both of an internal medical advisor i.e. operating within, i.e. as part of the condition monitoring system, and an e.g. to be consulted medical professional.

27. Method in accordance with the preceding clauses, comprising a method step in which on the basis of information as developed on the basis of AI using comparison of other, e.g. medical data, any pre-diagnosis derived therefrom, is applied in retrospect, thereby determining a start date or period of the development of the diagnosed symptom. 28. Method, in particular in accordance with any of the preceding clauses, in which the method comprises recognition of a specimen interacting with the monitoring device,

such as through passing a scanner. is performed automatically, based on data sets or images stored in the storage of the computing means, preferably from the monitoring platform (CBH).

29. Method in accordance with any of the preceding clauses, in which the method comprises activating a specimen-device (PS) interaction upon pre-defined initiation of the monitoring device such as entry of a user code, including detection thereof via a token, such as an rfid tag or a Bluetooth connecting cell phone, related to the user code, preventing organisms or objects without such code to get scanned unknowingly and/or unwantedly.

30. Method in accordance with any of the preceding clauses. in which the user interface is composed of a program or app related to a further computing means such as a mobile device, e.g. a cell phone or tablet, in particular adapted for consulting personal data such as images, feature and/or pre-diagnostics derived therefrom.

31. Method in accordance with any of the preceding clauses, in which the user interface incorporates a manner of inputting bodily or personal identification means to the system in case images of a passage cannot be linked to previous images.

32. Method in accordance with any of the preceding clauses, in which the user interface is adapted to allow the platform receipt of medical professional input, in particular related to an indicated, at least identified pre-diagnostic by the system.

33. System for a specimen (US) condition monitoring, in particular in accordance with a method as any of the preceding clauses, the system comprising at least one type of condition monitoring device (PS), an electronic condition monitoring system (CBH)

with computing means, the monitoring system comprising, at least functionally connected to an electronic data storing means (CLS), and the monitoring device (PS) comprising device control means (SC). preferably comprising local computing means and/or local data storage means,

the system further comprising a user interface (UIF) for inputting and outputting specimen condition data, in particular presenting collected specimen data in a formatted form, in which the condition monitoring system (CBH) is adapted for storing and diagnostically analyzing data of any images derived therefrom, from a vast number of data sets generated from unrestricted functional interaction between the monitoring device (PS) and the and the specimen (US), and from other user data sets,

in which the system outputs medically directed conclusions, including pre-diagnostic information to the specimen (US) or owner thereof, based on analyzing said specimen data or images, using artificial intelligence operations comparing the specimen data with known medical conditions. 34. Condition monitoring platform (CBH), in particular in accordance with any of the preceding clauses, comprising electronic computing means and data storage means (CLS), the platform adapted for electronically, e.g. wirelessly connecting to a condition monitoring device, the system adapted, e.g. by way of a program module, for extracting key performance indicators (KPI) from data sets collected from an interaction between a specimen and a health monitoring device, a feature recognizing program module (FR) recognizing features in any of said key performance indicators, the platform further comprising an artificial intelligence based recognition module or program section (AIR) for recognizing significant changes over time in any of the key performance indicators. 35. Electronic platform for supporting a system and/or method in accordance with any of the preceding clauses, , in which a data processing module comprises a feedback loop for exchanging user data sets and or user medical conclusions with further subscribers to the condition monitoring platform (CBH), the platform adapted to use data sets of other subscribers to the platform in processing user data. . 36. Platform according to the preceding clause, comprising a data processing module in which on the basis of information as developed on the basis of Al using comparison of other, e.g. medical data, any pre-diagnosis derived therefrom, is applied in retrospect, thereby determining a start date or period of the development of the diagnosed symptom.

It should further be remarked that the present invention, apart from the description and definitions, also encompasses all details as provided in the figures, whether described or not, for as far as can be directly and unambiguously be derived therefrom by a person skilled in the art, i.e. departing from ordinary meanings.

Claims (15)

CONCLUSIONS 1. Method for monitoring a condition of a sample or sample providing user, such as a health condition, such as of objects and in particular, but not limited to, organisms such as humans, wherein the method includes having a sample or condition monitoring device ( PS) such as a scanner or blood collection device, adapted to collect a data set of the sample through one or more types of monitoring equipment such as a scanner and a body fluid monitoring device in the event of an interaction between the sample and the device, the manner in which the data set is collected , is made dependent on, or at least related to, an appropriate manner of interaction between different types of monitoring equipment and the sample, and wherein the monitoring equipment is functionally connected to an electronic condition monitoring system (CBH) that uses programmed computer resources, e.g. a cloud or a internal network-based electronic platform. including a storage (CLS) for storing one or more data sets (CRSSD:IS:PI:MI), the method comprising activating a sample-device (PS) interaction upon predefined initiation of the monitoring device, such as input of a user code, including detection thereof via a token, such as an RFID tag or a Bluetooth-connected mobile phone, related to the user code, thus preventing organisms or objects without such a code from being unknowingly and/or unwantedly scanned. A method according to any one of the preceding claims, wherein the method includes the recognition of a sample interacting with the monitoring device, such as by passing through a scanner, performed automatically based on data sets or images stored in the storage of the computer resources. preferably from the monitoring platform (CBH). Method according to the preceding claims, wherein the user interface is composed of a program or app related to another computing device such as a mobile device, e.g. a mobile phone or tablet, in particular adapted for consulting personal data such as images. characteristics and/or pre-diagnosis derived therefrom. A method according to any one of the preceding claims, wherein the user interface includes a means of entering physical or personal identifiers into the system in the event that images of a passage cannot be linked to previous images. 5. Method according to any of the preceding claims, wherein the user interface is adapted to enable the platform to receive medical professional input, in particular with regard to an indicated, or at least identified, pre-diagnosis by the system. 6. A method according to any preceding claim, wherein the computing resources and/or platform are adapted to serve a plurality of users, each user providing or creating a sample in its interaction with a monitoring device for monitoring the condition of the sample. the computer means thereby programmed: to compare data from a second data collection, such as data collected on a second, i.e. follow-up interaction between the monitoring device and the sample, e.g. when passing against a scanning device or when interacting with a body fluid collection device. where the second interaction is one of the samples at a distinctly different time. and/or to compare corresponding data from a population, i.e. from other users of the platform who have agreed to share the data collected by them. for identifying, using data collected from a first interaction between sample and monitoring device, any difference between the data from these interactions and the data from the second data collection. 7. Method according to the preceding claim. wherein the method includes storing raw data from a single device-sample interaction. typically as a set, prior to any pre-processing or processing of the data, data set or any image derived therefrom, usually in addition to any compressed and/or derived metadata, e.g. as taken from data from interactions between multiple instances and devices. Method according to any one of the preceding claims, wherein at least part of the process steps are performed on local computer resources, typically up to and including a step for determining so-called performance indicators, i.e. reducing the data flow as derived from a monitoring device ( PS ) to the condition monitoring system, compared to the amount of raw data resulting from measuring return signals. 9. Method according to any one of the preceding claims. wherein a distinct point in time is determined by the specimen in the case of the specimen being an organism or its owner or user in the case of an object, without limitation to the amount or interval of interaction between the specimen and the monitoring device, such as the passage of the scanner device (PS) and/or a blood or other body fluid monitoring device, more specifically may also, in the case of organisms, typically be one or a number of times per day, week or months etc. 10. Method according to any one of the preceding claims, wherein the system regularly determines one or more condition diagnoses over time, specifically but not necessarily alone, at least at time intervals as determined by certain expected forms of condition changes, such as potential diseases in the case where the sample is a human or an organism, for example within a day or on the order of months and years. A method, in particular according to any one of the preceding claims, wherein one of the monitoring devices is a scanner device, and wherein data sets from a number of data sets from successive interactions with the scanner, such as relative scan passes at different times, are combined for reconstruction and /or fitted by combining scan data after reconstruction, in particular to improve the accuracy of a resulting, so-called refined image, as may be derived from a data set. 12. System for condition monitoring of a sample (US), in particular according to a method according to any one of the preceding claims, wherein the system comprises at least one type of condition monitoring device (PS), an electronic condition monitoring system (CBH) with computing means, comprising the monitoring system , at least functionally connected to an electronic data storage device (CLS). and wherein the monitoring device (PS) comprises device control means (SC), preferably comprising local computing means and/or local data storage means. wherein the system further includes a user interface (UIF) for inputting and outputting specimen condition data. in particular, presenting collected specimen data in a formatted form, in which the condition monitoring system (CBH) is adapted to store and diagnostically analyze data from all images derived from it. from a large number of data sets generated by unrestricted functional interaction between the monitoring device (PS) and the and the sample (US), and from other user data sets, in which the system provides medically oriented conclusions, including pre-diagnostic information to the sample (US ) or its owner, based on analysis of said sample data or images. using artificial intelligence operations that compare the sample data to known medical conditions. 13. Condition monitoring platform (CBH), in particular according to one of the preceding claims, comprising electronic computing means and data storage means (CLS), wherein the platform is adapted for electronic. e.g. connecting wirelessly to a condition monitoring device, wherein the system is adapted, e.g. by means of a program module, to extract key performance indicators (KPIs) from data sets collected from an interaction between a sample and a health monitoring device, a feature that program module (FR) that recognizes characteristics in one of the key performance indicators, the platform that further includes an artificial intelligence-based recognition module or program section (AIR) for recognizing significant changes over time in one of the key performance indicators - indicators. 14. Electronic platform for supporting a system and/or method according to any one of the preceding claims, wherein a data processing module comprises a feedback loop for exchanging user data sets and/or user medical conclusions with further subscribers to the condition monitoring platform (CBH), the platform adapted to use datasets from other subscribers on the platform when processing user data. 15. Platform according to the preceding claim, comprising a data processing module in which any prediagnosis derived therefrom is subsequently applied on the basis of information as developed on the basis of AI with the aid of comparison of other, for example medical data. thus providing an onset date or period of development of the diagnosed symptom.