WO2006066585A2 - Procede et dispositif destines a la determination amelioree de modeles dans des donnees relatives a au moins un etat physiologique d'un utilisateur - Google Patents

Procede et dispositif destines a la determination amelioree de modeles dans des donnees relatives a au moins un etat physiologique d'un utilisateur Download PDF

Info

Publication number
WO2006066585A2
WO2006066585A2 PCT/DK2005/000804 DK2005000804W WO2006066585A2 WO 2006066585 A2 WO2006066585 A2 WO 2006066585A2 DK 2005000804 W DK2005000804 W DK 2005000804W WO 2006066585 A2 WO2006066585 A2 WO 2006066585A2
Authority
WO
WIPO (PCT)
Prior art keywords
data elements
data
user
time instances
value
Prior art date
Application number
PCT/DK2005/000804
Other languages
English (en)
Other versions
WO2006066585A3 (fr
Inventor
Jens Ulrik Poulsen
Jørgen Smedegaard KRISTENSEN
Jon Ulrich Hansen
Leif Engmann Kristensen
Jette RANDLØV
Knud Poulsen
Ulrik Detlef Rädisch POULSEN
Original Assignee
Novo Nordisk A/S
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Novo Nordisk A/S filed Critical Novo Nordisk A/S
Publication of WO2006066585A2 publication Critical patent/WO2006066585A2/fr
Publication of WO2006066585A3 publication Critical patent/WO2006066585A3/fr

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/904—Browsing; Visualisation therefor
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation

Definitions

  • the present invention relates to the field of self-care of a disease using electronic data analysis devices and methods.
  • Chronic diseases and other physiological conditions such as diabetes, asthma, hormone therapy, anti-coagulation treatment, or the like, that require effective therapeutic care over long (or even life-long) periods of time have become a widespread phenomenon. Further characteristics of chronic diseases are often that no permanent cure exists and that the involved clinical picture typically is very complex. Typically, such diseases require medication and/or a control of the patient's lifestyle. Other examples of major chronic diseases are rheumatic diseases, and atherosclerotic heart disease. Diabetes is a classic model disease for chronic diseases and as such the description/examples included is representable for many chonic diseases and as such the invention can readily be transferred from diabetes to many of the chronic diseases.
  • Diabetes is one such chronic condition of the human body in which lack of insulin raises the blood sugar levels which in turn has harmful effects that sometimes may even endanger the patient's life.
  • a diabetic has to be very careful about the level of blood sugar in his/her body and therefore has to constantly monitor the activities that are likely to have an impact on the same.
  • To keep the blood sugar level in check a person with diabetes diabetic has to sometimes take insulin.
  • insulin injections These injections have to be administered after considering the patient's present condition as well as carefully predicting the near future state.
  • various blood sugar measurement devices such as strips and meters are available in the market.
  • the measurement devices have also been combined with insulin administration devices. This way the patient can carry one device that would not only measure his/her disease related parameters but would also assist him/her in administering his/her medicine.
  • Such devices are great tools for helping a patient to ensure that he or she is in compliance with a medical regimen.
  • the data gathering capabilities of such devices are also a helpful tool for doctors when they are assessing the regimen of a given patient.
  • One tool to assist in this is the well-known Modal view (also often referred to as Modal day view, basal view, etc.) where important data or parameters are displayed after data collection, search and analysis. More specifically, the Modal view comprises diary data for several days displayed versus the time thus superimposing many days of data into a single picture or image. This allows a user or a doctor to spot patterns in the data where such patterns are representative of habits of a patient/user (forth only denoted user). Such patterns could e.g.
  • the Modal view can be used to display several types of diary data or parameters of a user like blood glucose measurements and/or administered amount of insulin or medication and/or meal intake and/or alcohol intake and/or physical exercise, etc.
  • US Patent application 2002/0193679 A1 discloses a method and system using a Modal view, which is incorporated herein in its entirety by reference.
  • the Modal view comprises data entries for several days typically over a couple of weeks or even months some entries for certain days may obscure or hide patterns for other days.
  • a Modal view comprising enough data points to enable determination of a pattern may be somewhat overloaded with information.
  • a further object is to provide this in an easy and efficient way.
  • Yet another object is to provide an improved tool enabling better assistance in determination of patterns in data entries.
  • An additional object is to enable an overview of data related to at least one physiological condition of a user in a very logical, fast and illustrative way.
  • the device comprising: a memory comprising a set of data elements, each data element of said set representing a user action, a corresponding value and a date and time when said user action was performed, and a processor for displaying a graphical user interface comprising a time overview comprising a number of time instances, and a threshold selector where the user is able to select a threshold value for a value for a user action, where said processor is further adapted to search among said set of data elements in response to said threshold value and to mark time instances in said time overview in response to the search.
  • Such patterns may e.g. arise from behaviour that arises from sub-optimal patient self-management. These patterns are difficult or almost impossible to identify in paper or electronic logbooks or using typical graphical presentations of data related to a physiological condition.
  • Patterns or habits may comprise the time of day of certain actions, such as meal times, times at which the patient measures a physiological parameter such as the blood glucose level, times and doses of medication, etc.
  • the user action may be any action that has influence on the physiological condition(s) to be controlled.
  • examples of such actions include meal intakes, medication, such as insulin delivery, measurements of a physiological parameter such as blood glucose level, physical activity, or the like.
  • Identifying such habits facilitates the user to follow his/her individual habits in a consistent way, thereby allowing a combination of a tight control of the user's lifestyle while providing a high degree of individual freedom and an increased quality of life.
  • user related data such as blood glucose, insulin intake, exercise, etc.
  • the self- management of the patient can be customized to the individual patient's lifestyle while still providing control over the patient's day-to-day activities so that his diabetes can be efficiently managed.
  • the observance of the patient's habits and the data recording may be performed by the user himself/herself, thereby increasing the user's independence from health care personnel and, thus, increasing the user's quality of life. Furthermore, the monitoring and data recording by the user increases the possibility of constant observance, thereby improving the quality of the recorded data.
  • the user may be a patient, a health care professional or the like.
  • the search comprises
  • the graphical user interface comprise two or more threshold selectors for specifying various user actions and/or for specifying various ranges of data values of data elements in said set of data elements.
  • the time instances are selected from the group of: a day, a working day, a non-working day, one or more specific weekdays, a timeslot, morning, lunch time, afternoon, evening, night, a specific range of hours during a day and/or wherein said time instances are selected automatically based on analysis of said set of data elements.
  • the processor is further adapted to present additional information for marked time instances, where the additional information comprises blood glucose trends, exercise, fever, alcohol intake, medicine intake and/or number of insulin administrations.
  • the user action comprises one or more actions from the group of blood glucose measurement, a measurement of a body parameter from blood, urine and/or the like, meal/carbohydrate intake, alcohol intake, physical exercise, and administering medication or insulin.
  • the body parameter from blood, urine and/or the like may e.g. be blood glucose, ketones, urine glucose, proteins, lipids, etc.
  • blood glucose is used as an example.
  • the selector is a slider, a scale, a plurality of buttons, a graphical wheel, a drop-down menu comprising different values or the like.
  • the at least one physiological condition comprises a chronic disease.
  • the at least one physiological condition comprises diabetes.
  • the device is selected from a group of:
  • PDA personal digital assistant
  • PC personal computer
  • the term device may comprise any electronic equipment, such as a suitably programmed programmable device.
  • the device may e.g. be a portable or wearable device that can be carried by the user or a stationary pc or the like.
  • the device may be a suitably programmed portable computer, such as a handheld computer, a PDA, or the like.
  • the device is a suitably programmed mobile telephone, pager, or other mobile communications device.
  • the device is a drug administration device, such as an insulin administration device, e.g. an insulin injection device, an insulin inhalator, or the like.
  • an insulin administration device e.g. an insulin injection device, an insulin inhalator, or the like.
  • the drug deliveries by such a combined device may be recorded directly by the device, thereby allowing the recording of the data without the need for an active user input or data transmission from another device.
  • a drug administration device may be capable of storing patient related data such as drug dosage, meal details, blood glucose level etc.
  • the device is an insulin measuring device, thereby combining insulin measurements with a reminder system. Consequently, the number of separate devices to be carried by a user is reduced, and the times of day at which the blood glucose is measured may be directly fed into the habit analysis system, thereby reducing the required manual inputs or data transmissions from other devices.
  • the device further comprises means
  • Speaking could e.g. comprise the speaking of "I have identified the following pattern, which is important" or the like.
  • the present invention relates to different aspects including the devices described above and in the following, methods, and computer programs, each yielding one or more of the benefits and advantages described in connection with the above-mentioned devices, and each having one or more embodiments corresponding to the embodiments described in connection with the above-mentioned devices.
  • the invention relates to a method of assisting in determination of a pattern in a data set related to at least one physiological condition of a user, where a set of data elements is stored in a memory, each data element of said set representing a user action, a corresponding value and a date and time when said user action was performed, and where the method comprises the steps of: displaying a graphical user interface comprising a time overview comprising a number of time instances, and a threshold selector where the user is able to select a threshold value for a value for a user action, searching among said set of data elements in response to said threshold value, and marking time instances in said time overview in response to the search.
  • the invention also relates to a computer readable medium/ a computer program product having stored thereon instructions for causing one or more processing units to execute the method according to the present invention.
  • Figure 1 illustrates one embodiment of a graphical representation according to the present invention
  • Figure 2 illustrates the embodiment of Figure 1 where another situation has been selected
  • Figure 3 illustrates a schematic block diagram of an embodiment of a device according to the present invention.
  • Figure 4 illustrates a schematic block diagram of an embodiment of a system according to the present invention.
  • inventive concept as disclosed herein is useful in any of the diseases or other physiological conditions that require a constant monitoring of the lifestyle of the patient.
  • the invention will be described in the context of the self-management of diabetes, in particular the self- management of insulin delivery and blood glucose measuring by the patient.
  • FIG. 1 illustrates one embodiment of a graphical representation according to the present invention. Shown is a graphical user interface (GUI) (100) according to one embodiment of the present invention.
  • GUI graphical user interface
  • the GUI comprises a part (102) that represents an overview of time comprising a number of time instances e.g. in the form of various days where each day comprise 0 or more data elements related to at least one physiological condition of a user.
  • each data element represent a user action, a corresponding value and a corresponding time when said user action was performed.
  • the user action may e.g. be blood glucose measurement, a meal/carbohydrate intake, alcohol intake, physical exercise, and administering medication.
  • the data element also comprises an amount for the associated user action (e.g. 5.6 mmol/L, 5 unit of injected insulin, etc.).
  • the part (102) is a calendar view giving an overview of several days for a given period of time where each day clearly is identifiable. This gives a very intuitive presentation. In the shown example, a period of time of 3 months is used. Alternatively, other representations like a day representation, a week representation, a month representation, 6 month representation, etc. may be used.
  • the part (102) could comprise sub-days e.g. divided into timeslots like morning, lunch time, afternoon, evening, night, 8-10 am, etc.
  • the system could also automatically identify/generate appropriate timeslots by performing analysis on the data.
  • the GUI (100) also comprises a threshold selector (101 ) where the user is able to specify or select a threshold for a value of one of the user actions.
  • the selector (101) is a slider.
  • other implementations like a scale, buttons, a graphical wheel, a drop-down menu comprising different values, etc. may also be used.
  • a current selected value is displayed under or near the selector (101).
  • the user action that the selector (101 ) adjusts a threshold for is blood glucose measurements.
  • the selector (101) may also comprise indications of preferred, valid, critical, dangerous or non-preferred values.
  • the selector (101) comprise indications above 8 mmol/L and below 5 mmol/L as these are the threshold that should not be crossed for a diabetic, i.e. the diabetic should try to have a glucose level between 5 and 8 mmol/L at all times in order not to risk (both short-term and long-term) complications.
  • the GUI (100) could comprise two or more selectors (101 ) to select ranges of values (e.g. for selecting 4 - 6 mmol/L) or values of different user actions or parameters (e.g. one selector for glucose level and one selector for number of insulin injections), etc. Each of such additional parameters or actions may provide valuable additional information depending on the specific patient.
  • the GUI (100) preferably also comprises an information/feedback selector (104) for selecting which types of information or feedback that should be presented in the overview of time (102) and a feedback window or part (103) showing which types of information or feedback that currently is selected.
  • an information/feedback selector (104) for selecting which types of information or feedback that should be presented in the overview of time (102) and a feedback window or part (103) showing which types of information or feedback that currently is selected.
  • the user has selected to be presented with injections only as is also apparent from the feedback part (103). See Figure 2 for other examples.
  • the user uses the selector/slider (100) to specify a threshold for a relevant user action/parameter.
  • a glucose threshold above the normal glucose range (e.g. above 5 - 8 mmol/L or above 8 mmol/L) then all days (or timeslots) of the time view (102) would marked or highlighted or indicated if they contains a value above the set threshold. If the slider (100) is set to a glucose threshold below the normal glucose range (e.g. below 5 - 8 mmol/L or below 5 mmol/L) then all days (or timeslots) of the time view (102) that contains a glucose value below the threshold would be marked or the like.
  • Days or timeslots could e.g. be coloured red to signify that they contain data above or below the threshold.
  • the invention would work as follows. If the slider (100) is set to a given glucose threshold then all days (or timeslots) of the time view (102) that contains a glucose value above the given threshold would be marked in one way while all days (or timeslots) of the time view (102) that contains a glucose value below the given threshold would be marked in another way, e.g. using different symbols, colour, etc.
  • Each marked timeslot or day preferably also comprises information as selected in the information/feedback selector (104).
  • days having glucose data having a value above 15.0 mmol/L is marked in red. Further shown is the number of insulin injection for these days as given by the white number.
  • Figure 2 illustrates the embodiment of Figure 1 where another situation has been selected.
  • GUI graphical user interface
  • a glucose rise is defined when a measured glucose values have gone from low (defined as below 5 mmol/L) to high (defined as above 8 mmol/L) within 1.5 to 3 hours as indicated at the feedback part (103).
  • a fall is defined as when glucose values have gone from high to low within 1.5 to 3 hours. Other definitions may be used.
  • the derivation and display of glucose trends provides the user with an additional advantage when identifying patterns.
  • GUI (100) can by used to select data for further analysis e.g. enabling the user to select work days, specific days (e.g. Mondays), mornings or similar in the time overview (102). This greatly facilitates a further understanding of the data selected e.g. as a result of an identified potential pattern.
  • Figure 3 illustrates a schematic block diagram of an embodiment of a device according to the present invention.
  • the device generally designated 301 , comprises a data input unit 302, a processing unit 303 configured to receive the data input via input unit 302, a memory 304 or other storage device connected to the processing unit 303, and an output unit 305 connected to the processing unit 302.
  • the data input unit 302 comprises user input means such as push buttons, a keypad, a keyboard, a touch screen, a pointing device, e.g. a computer mouse, a stylus, a mouse pad, or the like, allowing a user to enter data, in particular the data to be recorded for the purpose of the habit detection.
  • the input unit further allows the user to select or specify data and information according to the present invention.
  • the input unit 302 may comprise different input means such as a data interface adapted to receive data from other devices, e.g. from a blood glucose measuring device, an insulin administration device, from a data processing device, or the like.
  • the data interface may comprise any circuit or device suitable for data communication via a wired or a wireless channel.
  • data interfaces include but are not limited to an infrared port, e.g. an IrDa port, a radio-frequency interface such as Bluetooth, a serial port, such as USB, FireWire, or the like.
  • the input unit 302 may comprise an internal interface for receiving data from other components within the device 301 , e.g. in an embodiment, where the device 301 comprises both a diabetes self-management device and a blood glucose measuring device and/or an insulin administration device.
  • the processing unit 303 may comprise a suitably programmed microprocessor or any other suitable processing means, such as Digital Signal Processors (DSP), Application Specific Integrated Circuits (ASIC), Programmable Logic Arrays (PLA), Field Programmable Gate Arrays (FPGA), special purpose electronic circuits, etc., or a combination thereof.
  • DSP Digital Signal Processors
  • ASIC Application Specific Integrated Circuits
  • PDA Programmable Logic Arrays
  • FPGA Field Programmable Gate Arrays
  • special purpose electronic circuits etc., or a combination thereof.
  • the memory 304 may be any suitable type of memory or storage device, such as a non-volatile memory, e.g. flash memory, EPROM, EEPROM, a hard disk, or the like.
  • a non-volatile memory e.g. flash memory, EPROM, EEPROM, a hard disk, or the like.
  • the output unit 305 includes any suitable circuit or device for issuing a reminder, e.g. an audible reminder, such as a beep or other sound, a visual reminder, and/or a tactile reminder.
  • a reminder e.g. an audible reminder, such as a beep or other sound, a visual reminder, and/or a tactile reminder.
  • the output unit may comprise a sound generator, a loudspeaker, an LED or other light source, a display such as and LCD display, a vibrator, etc., or any combination of the above.
  • the output unit includes a display that provides a graphical user interface (GUI) for presenting feedback, information, data elements, etc. to the user and allowing the user to edit or manipulate them as described herein.
  • GUI graphical user interface
  • the device described herein may be a special-purpose device or a combined device providing functionality as described herein in combination with an insulin administration device, a blood glucose measurement device or any other device used by a diabetes patient.
  • the device may be embodied as a suitably programmed general-purpose data processing device, such as a handheld computer, a PDA, or the like, or a suitably configured/programmed personal communications device, such as a mobile telephone, or the like.
  • the process described herein may be implemented by a single device as described above or by a system comprising more than one device.
  • the pattern search can either be performed on the machine on which the data was entered, or the data can be transferred onto a general purpose computing device that can then perform the functions.
  • the link up of these user device to another computing device allows an improved analysis of the data using the enhanced computational power available as well as sophisticated and specialized software designed for the purpose.
  • Various statistical means may be employed to display the patient data for easy understanding as well as accurate and beneficial analysis. For instance, there can be a report which would show the patient's blood glucose level at various times of the day and indicate any undesired highs or lows. Similarly there can be a report for patient's food intake.
  • These reports can be textual or various graphical representations such as bar graph, pie chart, histograms etc can be used to facilitate easier understanding of the results.
  • Modal day display is one such kind of display in which patient related events that occurred on different days are treated as if they occurred on a single day, thereby providing a compact overview of the patient's daily habitual patterns.
  • Algorithms such as the 7 point algorithm for measuring blood glucose may be used for such display, In this algorithm the display is before and after each main meal i.e. breakfast, lunch and dinner and at sleep time.
  • Figure 4 illustrates a schematic block diagram of an embodiment of a system according to the present invention.
  • the system comprises a device, e.g. a suitably configured drug administration device, generally designated 401 , comprising an input unit 402, a processing unit 403, a memory 404, and an output unit.
  • a device e.g. a suitably configured drug administration device, generally designated 401 , comprising an input unit 402, a processing unit 403, a memory 404, and an output unit.
  • the device 401 and the above-mentioned components correspond to the device 301 and its corresponding components described in connection with Figure 3 and will therefore not be described again here.
  • the device 401 further comprises an interface unit 406 adapted to communicate data with an external data processing system 410.
  • the data processing system 410 comprises a corresponding interface unit 412.
  • Each of the interface units 406 and 410 may include any suitable circuit or device adapted to provide data communication between the device 401 and the data processing system 410. Examples of interface units include but are not limited to an infrared port, e.g.
  • an IrDa port a radio-frequency interface such as Bluetooth, a serial port, such as USB, FireWire, or the like, a local area network (LAN) connection, a wireless local area network (WLAN) connection, an ADSL connection, an ISDN connection or any other Internet connection, a data connection via a cellular telecommunications network, e.g. via GSM, GPRS, UMTS, or the like.
  • data may transferred between the device 401 and the data processing system 410 by means of a data carrier, such as a memory stick, a diskette, a smart card, or the like.
  • the data processing system 410 further comprises a processing unit 413, a memory or other storage device 414, e.g. as described in connection with the processing unit 303 and the memory 304. Furthermore, the data processing system 410 provides a graphical user interface 416, e.g. via a suitable display and a corresponding input device, such as a keyboard, keypad, pointing device, etc.
  • the data processing system 410 may be a suitably programmed conventional computer, e.g. a desktop personal computer (PC), a portable computer, or the like.
  • the data entry may be performed via the user device 401 and/or the data processing system 410.
  • This arrangement between the device and the data processing system may be a simple one-to-one link between the two entities. However, they may also be part of a patient-doctor-relative-peer network.
  • the data processing system may periodically logon to a Local Area Network or Internet, or the like, to transmit the user readings to a remote database server that might be used to generate reports from a different computing system such as that of a doctor, relative of the patient and the like.
  • These computing devices can be general-purpose desktops or other variations such as laptop, cell phones, PDAs etc.
  • the method, product means, and device described herein can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed microprocessor.
  • the features of the method described herein may be implemented in software and carried out on a data processing device or other processing means caused by the execution of program code means such as computer- executable instructions.
  • the executing steps can be realized in a centralized fashion in one computer system, or in a distributed fashion where different elements are spread across several interconnected computer systems.
  • Computer program means or computer program in the present context mean any expression, in any language, code or notation, of a set of instructions intended to cause a system having an information processing capability to perform a particular function either directly or after either or both of the following: a) conversion to another language, code or notation or b) reproduction in a different material form.
  • the program may be supplied to the user encoded on a CD-ROM or a floppy disk (both generally depicted by the storage device), or alternatively could be read by the user from the network via a modem device connected to the computer.
  • the computer system can load the software from other computer readable media. This may include magnetic tape, a ROM or integrated circuit, a magneto-optical disk, a radio or infra-red transmission channel between the computer and another device, a computer readable card such as a PCMCIA card, and the Internet and Intranets including email transmissions and information recorded on Internet sites and the like.
  • the foregoing are merely examples of relevant computer readable media. Other computer readable media may be practiced without departing from the scope and spirit of the invention.

Abstract

La présente invention concerne des dispositifs (ainsi que des procédés correspondants et un produit logiciel) destinés à la détermination d'un modèle dans un ensemble de données relatives à au moins un état physiologique d'un utilisateur, le dispositif comprenant: une mémoire comportant un ensemble d'éléments de données, chaque élément de données dudit ensemble représentant une action d'utilisateur, une valeur correspondante et une date ainsi qu'une heure qui correspondent à l'action effectuée, et un processeur destiné à afficher une interface graphique utilisateur comprenant une vue d'ensemble du temps constituée d'un certain nombre d'instances temporelles, et un sélecteur de seuil qui permet à l'utilisateur de sélectionner une valeur de seuil pour une valeur correspondant à une action d'utilisateur, ledit processeur étant conçu également pour effectuer une recherche dans ledit ensemble d'éléments de données en réponse à ladite valeur de seuil et des marquer les instances temporelles dans ladite vue d'ensemble en réponse à ladite recherche. De cette manière, on obtient une détermination plus aisée des modèles nécessitant une analyse ou une action ultérieure dans l'ensemble de données du moment qu'on présente une vue d'ensemble qui est à la fois logique, rapide et expressive. En outre, on fournit une vue d'ensemble des données relatives à au moins un état physiologique d'un utilisateur, qui est très logique, rapide et expressive.
PCT/DK2005/000804 2004-12-23 2005-12-20 Procede et dispositif destines a la determination amelioree de modeles dans des donnees relatives a au moins un etat physiologique d'un utilisateur WO2006066585A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DKPA200401997 2004-12-23
DKPA200401997 2004-12-23

Publications (2)

Publication Number Publication Date
WO2006066585A2 true WO2006066585A2 (fr) 2006-06-29
WO2006066585A3 WO2006066585A3 (fr) 2006-11-16

Family

ID=35929753

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DK2005/000804 WO2006066585A2 (fr) 2004-12-23 2005-12-20 Procede et dispositif destines a la determination amelioree de modeles dans des donnees relatives a au moins un etat physiologique d'un utilisateur

Country Status (1)

Country Link
WO (1) WO2006066585A2 (fr)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012084723A1 (fr) 2010-12-22 2012-06-28 Roche Diagnostics Gmbh Reconnaissance automatique de motifs connus dans des données de mesure physiologiques
US10575791B2 (en) 2010-12-22 2020-03-03 Roche Diabetes Care, Inc. Automatic recognition of known patterns in physiological measurement data
US10610624B2 (en) 2013-03-14 2020-04-07 Smith & Nephew, Inc. Reduced pressure therapy blockage detection
US10639502B2 (en) 2010-10-12 2020-05-05 Smith & Nephew, Inc. Medical device
US10796285B2 (en) 2016-04-14 2020-10-06 Microsoft Technology Licensing, Llc Rescheduling events to defragment a calendar data structure
US11315681B2 (en) 2015-10-07 2022-04-26 Smith & Nephew, Inc. Reduced pressure therapy device operation and authorization monitoring
US11369730B2 (en) 2016-09-29 2022-06-28 Smith & Nephew, Inc. Construction and protection of components in negative pressure wound therapy systems
US11602461B2 (en) 2016-05-13 2023-03-14 Smith & Nephew, Inc. Automatic wound coupling detection in negative pressure wound therapy systems
US11712508B2 (en) 2017-07-10 2023-08-01 Smith & Nephew, Inc. Systems and methods for directly interacting with communications module of wound therapy apparatus
US11793924B2 (en) 2018-12-19 2023-10-24 T.J.Smith And Nephew, Limited Systems and methods for delivering prescribed wound therapy

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BEDERSON B B ET AL: "DateLens: a fisheye calendar interface for PDAs" ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION ACM USA, vol. 11, no. 1, March 2004 (2004-03), pages 90-119, XP002394431 ISSN: 1073-0516 *
FROST JEANA ET AL: "Visualizing health practice to treat diabetes" CONF HUM FACT COMPUT SYST PROC; CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS - PROCEEDINGS 2002, 2002, pages 606-607, XP002394429 *
QING LI ET AL: "Empirical comparison of dynamic query sliders and brushing histograms" INFORMATION VISUALIZATION, 2003. INFOVIS 2003. IEEE SYMPOSIUM ON OCT. 19-21, 2003, PISCATAWAY, NJ, USA,IEEE, 19 October 2003 (2003-10-19), pages 147-153, XP010671052 ISBN: 0-7803-8154-8 *
SHNEIDERMAN B: "Dynamic queries for visual information seeking" IEEE SOFTWARE USA, vol. 11, no. 6, November 1994 (1994-11), pages 70-77, XP002394430 ISSN: 0740-7459 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11565134B2 (en) 2010-10-12 2023-01-31 Smith & Nephew, Inc. Medical device
US10639502B2 (en) 2010-10-12 2020-05-05 Smith & Nephew, Inc. Medical device
US10667759B2 (en) 2010-12-22 2020-06-02 Roche Diabetes Care, Inc. Automatic recognition of known patterns in physiological measurement data
US10575791B2 (en) 2010-12-22 2020-03-03 Roche Diabetes Care, Inc. Automatic recognition of known patterns in physiological measurement data
WO2012084723A1 (fr) 2010-12-22 2012-06-28 Roche Diagnostics Gmbh Reconnaissance automatique de motifs connus dans des données de mesure physiologiques
US11633533B2 (en) 2013-03-14 2023-04-25 Smith & Nephew, Inc. Control architecture for reduced pressure wound therapy apparatus
US10610624B2 (en) 2013-03-14 2020-04-07 Smith & Nephew, Inc. Reduced pressure therapy blockage detection
US10905806B2 (en) 2013-03-14 2021-02-02 Smith & Nephew, Inc. Reduced pressure wound therapy control and data communication
US11783943B2 (en) 2015-10-07 2023-10-10 Smith & Nephew, Inc. Reduced pressure therapy device operation and authorization monitoring
US11315681B2 (en) 2015-10-07 2022-04-26 Smith & Nephew, Inc. Reduced pressure therapy device operation and authorization monitoring
US10796285B2 (en) 2016-04-14 2020-10-06 Microsoft Technology Licensing, Llc Rescheduling events to defragment a calendar data structure
US11602461B2 (en) 2016-05-13 2023-03-14 Smith & Nephew, Inc. Automatic wound coupling detection in negative pressure wound therapy systems
US11369730B2 (en) 2016-09-29 2022-06-28 Smith & Nephew, Inc. Construction and protection of components in negative pressure wound therapy systems
US11712508B2 (en) 2017-07-10 2023-08-01 Smith & Nephew, Inc. Systems and methods for directly interacting with communications module of wound therapy apparatus
US11793924B2 (en) 2018-12-19 2023-10-24 T.J.Smith And Nephew, Limited Systems and methods for delivering prescribed wound therapy

Also Published As

Publication number Publication date
WO2006066585A3 (fr) 2006-11-16

Similar Documents

Publication Publication Date Title
WO2006066585A2 (fr) Procede et dispositif destines a la determination amelioree de modeles dans des donnees relatives a au moins un etat physiologique d'un utilisateur
WO2006066583A1 (fr) Procede et dispositif ameliore de determination de motifs de points relatifs a des donnees associees a au moins un etat physiologique d'un utilisateur
US20220117547A1 (en) Presenting Health Related Messages to Users of an Activity/Health Monitoring Platform
US9501949B2 (en) Method and system for self-management of a disease
DK178771B1 (en) Physical activity and workout monitor
EP2006786B1 (fr) Procédé et système de surveillance de glucose pour surveillance individuelle de réponse métabolique et pour générer une réponse nutritionnelle
CA2466772C (fr) Appareil et methode permettant de surveiller la glycemie, comprenant notamment un affichage convivial de la moyenne des valeurs de glycemie et des valeurs constituantes
RU2285442C2 (ru) Персональная система контроля состояния
US8849458B2 (en) Collection device with selective display of test results, method and computer program product thereof
JP5797224B2 (ja) 消費者電子デバイスを使用する糖尿病管理のためのコネクタ、システムおよび方法
KR101722417B1 (ko) 고혈당 및 저혈당 경향 통지를 갖는 분석물 검사 방법 및 시스템
JP2010508097A (ja) 時間依存パラメータの測定値の時間的シーケンスを処理する方法
US20110124996A1 (en) Diabetes health management systems and methods
KR20150036706A (ko) 당뇨병이 있는 사람들에 대해 고혈당증 또는 저혈당증을 표시하는 방법 및 시스템
WO2018132315A1 (fr) Systèmes, dispositifs et procédés pour des calculs expérimentaux de dosage de médicament
US20100256047A1 (en) Analyte Measurement and Management Device and Associated Methods
EP2443577B1 (fr) Procédés et systèmes destinés à conseiller des personnes diabétiques
CA2723352A1 (fr) Dispositif de mesure et de gestion d'un analyte et procedes associes
CN116235137A (zh) 用于管理健康数据的用户界面
US20070012322A1 (en) Method and device for determining a position at which to deliver a substance
Volkov et al. DiaMeter: a Mobile Application and Web Service for Monitoring Diabetes Mellitus
Vasquez et al. Effects of healthcare technologies on the promotion of physical activities in older persons: A systematic review
LoBUONO Taking advantage of home testing and monitoring

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KM KN KP KR KZ LC LK LR LS LT LU LV LY MA MD MG MK MN MW MX MZ NA NG NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SM SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LT LU LV MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 05820904

Country of ref document: EP

Kind code of ref document: A2

WWW Wipo information: withdrawn in national office

Ref document number: 5820904

Country of ref document: EP