WO2023014244A1 - Device and method for identifying and monitoring health risks - Google Patents
Device and method for identifying and monitoring health risks Download PDFInfo
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- WO2023014244A1 WO2023014244A1 PCT/RU2022/000247 RU2022000247W WO2023014244A1 WO 2023014244 A1 WO2023014244 A1 WO 2023014244A1 RU 2022000247 W RU2022000247 W RU 2022000247W WO 2023014244 A1 WO2023014244 A1 WO 2023014244A1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Definitions
- SUBSTANCE invention relates to medical equipment, namely, to devices and methods for determining and monitoring risks to the health of a subject, as well as for diagnosing the state of the subject's body.
- subject in the present invention refers to a person - the carrier of the device or another living organism, in particular, an animal (including a mammal).
- a known method of monitoring normal or abnormal physiological events in patients by analyzing their biomedical signals according to international application W0200357025, publication 24.12.2003, IPC A61B 05/00.
- the analyzed biomedical signal is examined as follows.
- a raw signal is obtained, for example, an ECG of a patient using an appropriate electrode.
- features are extracted from said raw signal.
- the closest is a method for detecting pathological fluctuations in physiological signals for diagnosing human diseases, described in the application US20100234748, publication 09/16/2010, IPC A61B 05/04.
- the method includes performing a sliding window analysis to find sequences in physiological signal data that correspond to amplitude and duration corrected versions of the template function within a specified tolerance.
- the technical result achieved in the present invention is to increase the accuracy, reliability and efficiency of determining health risks, as well as to increase the universality of the tools for their determination by taking into account simultaneously measured heterogeneous physiological characteristics of the subject's body.
- a device for determining and monitoring health risks including: sensors that have contact with the subject's body and are attached to it; a measurement unit configured to convert signals from sensors of parameters of various physical nature to the type of values of the quantities measured by them; parametric-functional conversion unit, which converts each of the received signals with measured physiological parameters from a parametric signal into a functional signal of a single form that provides them matching without additional conversion; a signal matching unit configured to determine the presence of risks and generate appropriate signals about their presence; a risk assessment unit configured to evaluate risks and generate signals with a general assessment (level) of risks; a display unit configured to convert the overall assessment (level) of risks into a message to a person - the carrier of the device and / or a specialist who monitors health.
- the sensors can be attached to the body of the subject in any way that is not harmful to his health, for example, by fastening a bracelet, by fixing with a patch or chest strap, or by implantation.
- the device according to the present invention can be configured to receive signals from any known types of sensors, for example, piezoelectric, optoelectric, electrochemical, audio-video sensors, as well as other promising sensors that provide measurement of physiological characteristics.
- sensors for example, piezoelectric, optoelectric, electrochemical, audio-video sensors, as well as other promising sensors that provide measurement of physiological characteristics.
- the device according to the present invention can be configured to receive signals from sensors installed directly in the body of the device, as well as, if necessary, from sensors installed outside the body, via wires or standard wireless data protocols.
- the device according to the present invention is configured to receive signals from sensors of parameters of various physical nature by means of a measurement unit, a parametric-functional transformation unit, a signal matching unit and a risk assessment unit.
- the device according to the present invention can be configured to continuously monitor risks to the health of a subject for a long time.
- the display unit may include a light and/or sound indicator and/or a screen.
- the device according to the present invention may be associated with a mobile device in the form of a mobile phone, smartphone, tablet computer, laptop, or desktop computer.
- the device for determining and monitoring health risks provides the following main functions:
- the invention provides for the presence in the device of additional functions that allow to increase the accuracy of the analysis of the subject's health status: - continuous control by the device of its state (for example, control of the presence of power and connection of sensors that have contact with the body of the subject);
- the sensors, the measurement unit, the parametric-functional conversion unit, the signal matching unit, the risk assessment unit and the display unit can be structurally combined and made in the form of a wearable personal device, for example, in the form of a bracelet.
- the sensors can be placed outside the bracelet body and connected to the bracelet by wires or by standard wireless data transfer protocols.
- the whole set of essential features of the claimed device and method for determining and monitoring health risks directly affects the achievement of the claimed technical result.
- the sign of the presence in the claimed device of sensors that have contact with the body of the subject and are fixed on it, and the sign of receiving signals from sensors containing measured physiological characteristics are key to the present invention and provide the ability to operate the device and implement the method and achieve the claimed technical result.
- the accuracy, reliability and efficiency of determining health risks cannot be improved without the presence of sensors in the claimed device, without receiving signals from these sensors and without their further transformation in the manner described in the present invention.
- Increasing the versatility of health risk identification tools is also provided in primarily due to the presence of sensors in the claimed device, receiving signals from these sensors and their further conversion.
- a method for determining and monitoring health risks is proposed, characterized in that sets of functional parameters are preliminarily created, each of which includes a set of interrelated threshold values of critical physiological parameters and their time characteristics in terms of duration and frequency, receive signals containing measured physiological characteristics, at least from one sensor, convert each of the received signals into a signal of a single form, providing their comparison without additional conversion at a given time interval, while determining the value of the signal, indicating the presence of a risk factor for health when this signal reaches the critical threshold the value of a parameter stored in one of the many pre-generated sets of functional parameters, or a value indicating the absence of a health risk factor if the threshold is not reached, then, signals of a single form are compared with each other within each set of functional parameters and, if the values of the signals of the set, indicating the presence of a risk factor for health, coincide, they make a decision about the presence of certain risks for the health of the subject, based on the set of which they form an overall assessment
- Sets of functional parameters are preliminarily created, each of which includes a set of interrelated threshold values of critical physiological parameters and their time characteristics in terms of duration and frequency, characterizing a certain health risk factor.
- the choice of the values of critical physiological parameters and their time characteristics in terms of duration and frequency is based on verified medical data.
- Each set of functional parameters is formed on the basis of at least two parameters (time and at least one physiological parameter corresponding to it) received from sensors.
- signals containing the measured physiological characteristics are received from at least one sensor. From the sensors receive signals containing, in particular, the following parameters: heart rate, state of sleep or wakefulness; type of physical activity of the subject, energy consumption and income, state of hydration of the body, sleep phases, stress level, glucose content in the intercellular fluid, but not limited to this list.
- each of the received signals is converted into a functional signal of a single form, which ensures their comparison without additional conversion at a given time interval, while determining the value for the signal, indicating the presence of a risk factor for health when this signal reaches a threshold of a critical parameter value stored in one of a plurality of pre-generated sets of functional parameters, or a value indicating the absence of a health risk factor if the threshold is not reached.
- this allows heterogeneous signals from sensors to be converted into a single form for their subsequent comparison. It should be noted that from one signal from the sensor in the process of its conversion into a signal of a single form, as many homogeneous signals are obtained as there are different threshold values of critical physiological parameters corresponding to the signal in the sets of functional parameters.
- a certain value for example, the arithmetic mean
- the signal from the sensor reaches the threshold value of the critical physiological parameter
- the value of the deviation of the signal from the threshold value, the duration and frequency of such a deviation are stored. Taking into account the magnitude of the deviation, the duration and frequency of such a deviation makes it possible to more accurately determine the state of health when making a decision about the presence of a risk factor.
- signals of a single form are compared with each other within each set of functional parameters and, if the values of the signals of the set, indicating the presence of a health risk factor, coincide, a decision is made that health risks have been identified, while generating appropriate signals about their presence.
- the risks are assessed in accordance with the received set states and determine the overall assessment of health risks, while generating the corresponding signals with this assessment.
- the person - the carrier of the device and/or the specialist who monitors health is informed by displaying signals with a general assessment (level) of risks on the display unit of the device.
- the external device may be selected from the group consisting of a mobile phone, smartphone, tablet computer, laptop or desktop computer.
- signals can be received from sensors containing, in particular, the following parameters: heart rate, state of sleep or wakefulness; type of physical activity of a person, energy consumption and income, state of hydration of the body, sleep phases, stress level, glucose content in the intercellular fluid, but not limited to this list.
- both the current value of the signal from the sensor and the accumulated historical data are used before converting the signals from the sensors into signals of a single form.
- a single homogeneous stream is formed from the uniform waveforms.
- one or more time windows can be used to which the incoming data for each of the signals is correlated.
- the length of each the time window may be determined by a particular set of functional parameters.
- actions on received signals from sensors of parameters of various physical nature are divided into independent technological stages (signal conversion stages), and are carried out by means of the corresponding blocks of the claimed device.
- FIG. 1 shows embodiments of the invention.
- FIG. 2 is a general flow diagram of a method for determining and monitoring health risks.
- FIG. 3 shows the scheme for creating sets of functional parameters.
- FIG. 4 shows graphs of signal conversion, containing the measured physiological parameters from the sensor, into a signal of a single form.
- FIG. 5 shows graphs of the results of comparing signals of a single form within the set of signals of each of the created sets of functional parameters and graphs of certain health risks.
- FIG. 6 shows an example of converting signals containing measured physiological parameters from sensors into a single waveform.
- FIG. Figure 7 shows another example of converting signals containing measured physiological parameters from sensors into a single waveform.
- FIG. 8 shows an example that reflects the content of the transformation of parametric signals into functional ones with their subsequent comparison, which underlies the method for determining and monitoring health risks.
- FIG. 9 shows an example of a general scheme for identifying risks.
- FIG. 10 shows an example of risk identification in a wearable personal device in the form of a wristband.
- FIG. 11 shows an example of the implementation of the invention in the form of a wearable personal device based on analog and digital microcircuits.
- the invention can be implemented independently as a wearable personal device, for example, in the form of a bracelet with sensors that are in contact with the subject's body and attached to it (I), as part of a bracelet-phone (tablet) pair (II) or as an element in as part of a complex system of technical devices (III) based on general-purpose digital technology.
- Wearable personal devices 1 including a device for determining and monitoring health risks, are mainly designed to measure physiological parameters and inform about the obtained values of these parameters of the device carrier. IN Currently, these devices do not provide a sufficiently detailed definition of risks to the health of the subject. In addition, these devices, as elements of complex systems of technical devices, can be associated with another wearable device, for example, a mobile phone (tablet) 2, in order to transfer data from the device to an external device 3 for additional processing (III).
- a mobile phone tablette
- the invention implemented independently as a wearable personal device (Fig. 1), for example, in the form of a bracelet with sensors (I) consists of: sensors (1) that have contact with the subject's body and are attached to it; a measurement unit (2) that converts signals from sensors of parameters of various physical nature to the type of values measured by them; a parametric-functional conversion unit (3) that converts each of the received signals with the measured physiological parameters from a parametric signal into a functional signal of a single form, which ensures their comparison without additional conversion; a signal matching block (4) that determines the presence of risks and generates appropriate signals about their presence; a risk assessment block (5) that performs risk assessment and generates signals with a general assessment (level) of risks; a display unit (6) that converts the overall assessment (level) of risks into a message to a person - the carrier of the device and / or a specialist who monitors health.
- the main function of the invention is to determine health risks by sequential processing of parametric signals measured by one or more sensors of parameters of various physical nature (1) based on their purposeful parametric-functional transformation in measurement units (2), parametric-functional transformation (3), comparison signals (4) and risk assessment (5).
- the display unit (5) is designed to convert signals with a general assessment (level) of risks into a message to a person - the device carrier and / or a specialist who monitors health, by means of a light, sound indicator and / or screen.
- Sequential processing of parametric signals in the process of determining health risks consists in the step-by-step transformation of signals received from sensors into a message to a person - the device carrier and/or a health monitoring specialist about the identified risks.
- Five stages of transformation are used: measurement, parametric-functional transformation, comparison, risk assessment, mapping. Each transformation is carried out in the corresponding block of the device.
- a graphic representation of the stages of transformation of signals received from sensors in the process of determining health risks, the types of such signals, as well as the composition of the blocks corresponding to these transformations are shown in Fig. 2.
- Fig. 3 sets of functional parameters 4 are created in advance (Fig. 3) (sets in the figures), each of which includes a set of interrelated threshold values of critical physiological parameters and their time characteristics in terms of duration and frequency, characterizing a certain critical health risk factor.
- These parameters may include: heart rate, state of sleep or wakefulness; type of physical activity of the subject, energy consumption and income, state of hydration of the body, sleep phases, stress level, glucose content in the intercellular fluid, but not limited to this list.
- the diagram shows the procedure for creating a set of functional parameters 4.
- Functional parameter sets 4 that reflect specific health conditions are interrelated hypotheses about a possible health risk 5 given for each of the risk factors (FR) for health, which can be identified on the basis of S(P) signals containing measured physiological characteristics , obtained using sensors, in the form of P parameters.
- each of the sets of functional parameters 4 reflects a hypothesis about a possible health risk when several P parameters are combined.
- Time is also one of the parameters, since time characteristics should be taken into account when determining health risks according to the duration and frequency of the R parameters.
- threshold critical values SR of those parameters P that can be measured using a wearable personal device 1 are formed.
- parameters P of signals S (P) HR; a sign (kind) of activity in which the subject is located (in particular for a person, “calm state”, “walking”, “running”); parameter "Observation time”.
- each parameter in the set For each parameter in the set, its threshold value is set, respectively, each parameter of the set is defined as a critical physiological parameter.
- the threshold value of HR norms is preset -
- the current value of the critical physiological parameter HR for the signal parameter S (HR) is defined as "S(4CC) >70%*S(4CC HOpM )". That is, if, as a result of monitoring the heart rate signal, a deviation from the established boundary of the physiological parameter of heart rate by more than 70% is recorded, then the presence of a certain risk factor for health, which is characterized by this parameter, is also recorded. That is, for a given critical physiological parameter, a threshold can be assigned in the form of a relative value as a fraction of the nominal value of this parameter;
- the value of the threshold critical physiological parameter SR for the parameter signal S (type of activity), which indicates the appearance of a risk factor, is set as any state, except for the "Running" state. That is, for a critical physiological parameter characterizing the type of activity of the subject, the presence of a certain risk factor is established only if it belongs to a certain current state;
- the risk factor is set when a specific absolute value is reached.
- FIG. 7 shows another example in which two sets of function parameters 4 are formulated based on the same parameters P.
- the set of function parameters N is the set of the example in FIG. 6.
- the set of functional parameters N+1 based on the same parameters P is associated with another hypothesis about a possible risk to the health of the subject.
- the threshold value of heart rate norms is pre-set -
- the current value of the critical physiological parameter CP for the signal of parameter S (HR) is defined as "S (4CC) > 90% * S (4CC HOP M)" - THEN is, if in As a result of monitoring the heart rate signal, a deviation from the threshold of the physiological parameter of heart rate by more than 90% is recorded, then the presence of a certain risk factor for health, which is characterized by this parameter, is also recorded. That is, for a given critical physiological parameter, a threshold can be assigned in the form of a relative value as a fraction of the nominal value of this parameter;
- the threshold value of the critical physiological parameter SR for the parameter signal S (type of activity), which indicates the appearance of a risk factor, is set as the "Running" state. That is, for a critical physiological parameter characterizing the type of activity of the subject, the presence of a certain risk factor is established only if it belongs to a certain current state;
- the risk factor is set when a specific absolute value is reached.
- Fig. 7 shows that even for the same parameter combinations there can be several sets of functional parameters. The number of sets depends only on how many risks can be determined using the available sensor data.
- a set of functional parameters in the device is assumed by setting the threshold values of critical physiological parameters in advance, for example, in the simplest case in the form of an amplitude of electrical voltage, when it will be necessary to use an analog input signal in the threshold device (Fig. 11) - a signal from a sensor that measures heart rate.
- Sets of functional parameters can also store time characteristics of critical physiological parameters.
- a digital clock can be used for this. For example, if the heart rate is high and lasts too long, these waveform values may be in the appropriate set.
- retrospective data on monitoring the health of the subject's body can be accumulated both directly on the device and transferred to external systems (devices) for storage and further processing.
- external systems devices
- the method for determining and monitoring health risks implemented in the invention is as follows (Fig. 2).
- the signals from the sensors of parameters of various physical nature are converted to the form of the values of the quantities measured by them, that is, the signals take on a parametric character.
- each of the received parametric signals is converted into a functional signal of a single (hereinafter - binary) form at a given time interval.
- the value of "1" is determined for the functional signal upon reaching a corresponding parametric signal of a threshold of a critical physiological parameter stored in one of the plurality of pre-formed sets of functional parameters 4 (FIG. 3), and a value of "0" if the threshold is not reached.
- FIG. 4 shows an example of such a transformation for conditional signals S1 and S2.
- the boundary of the critical physiological parameter is the threshold value of ⁇ 1, indicated by a dotted line, and for the signal S2, the threshold value of ⁇ 2. If this value is exceeded at a given time interval, then at the output of the parametric-functional transformation block 3 (Fig. 2) "1" is recorded for the signals CBi or CB 2 , if not exceeded, then "0" is recorded.
- the method involves determining a certain value (for example, the arithmetic mean) of the signal from the sensor on the time intervals of the input signals S, to deviate from interference.
- the signals S containing the measured physiological parameters may be absent, for example, due to a sensor malfunction, the presence of interference in signal transmission and other objective reasons. In this case, after conversion, signals of the binary form CB are not generated. Gaps in signaling follow, as illustrated in FIG. 4.
- the next stage (Fig. 2) is to compare the binary form signals within each of the sets of functional parameters in the matching block 4.
- a single stream of binary form signals is formed.
- the next step is to assess health risks in accordance with previously established conditions, associated with risks and reflecting possible changes in health, and is implemented in the risk assessment block 5.
- a qualitative risk assessment generated by the device binary logic algebra can be used.
- An example of a general scheme for such a risk assessment is shown in Fig. 9.
- the display unit 6 of the device for determining and monitoring health risks for example, in a wearable personal device 1 in the form of a bracelet, shown in Fig. 1
- the overall assessment (level) of risks is converted into a message to a person - device carrier and/or health monitoring specialist, for example, in the form of a light indication or a text message on the device screen (Fig. 10).
- Health monitoring showed that the subject had severe chronic dehydration. Doctor's appointment confirmed that after the replacement of one of the heart valves with an artificial one 10 years ago, for more than two years he took drugs to lower blood pressure, which include a diuretic, which led to "thickening of the blood" caused by a state of dehydration. At the same time, low hydration was accompanied by increased stress. In this example, the identified risk was recognized by the doctor as essential for the life and health of the patient and a new treatment was prescribed.
- these indicated risks may indicate a cardiovascular disease, or a metabolic disorder.
- data on the risks associated with stress and low hydration may indicate a decrease in adaptive capacity or a decrease in performance.
- a general assessment of risks to the health of a subject can be built in the form of a presentation of risks in the form of a sequential listing of risks and their parameters, which will then be analyzed by specialists who make general decisions about the health and general risks for the subject.
- An automated system can also be built, which, on the basis of the data received, will determine more general risks, according to all the received data on risks or in part of them. The implementation of this possibility is provided by the interaction of the invention with external systems (devices) in order to transfer data from the device for additional processing.
- the invention can be implemented as a wearable personal device, for example, in the form of a bracelet, or it can be part of a complex system of technical devices, as its element.
- FIG. eleven An example of the implementation of the invention in the form of a wearable personal device in the form of a wristband, based on analog and digital microcircuits, is shown in Fig. eleven.
- a method for detecting an excess of the critical value of heart rate, which indicates a risk of CVD (Risk 1), together with a method for detecting elevated heart rate at night, which indicates a risk of reducing the adaptive capabilities of the subject's body (Risk 2).
- a heart rate sensor for example, an optical heart rate monitor placed in the bracelet case and having contact with the subject’s body by fixing it on the wrist by fastening the bracelet
- an electrical signal is sent to the threshold device (Comparator 1), in which it is converted from an analog output signal into digital information.
- the threshold device Critical heart rate
- the input analog signal in its value is greater than a certain (threshold) voltage (critical heart rate), which is set in advance as a critical functional signal of the first set of functional parameters (set 1) of the device (bracelet)
- a logic level signal equal to "1".
- the signal from the logic element “lights up” the LED.
- a digital clock is required, at the output of which a time signal is generated, which is distributed to two digital comparators (Digit, comparator 1 and Digit , comparator 2).
- Such comparators are widely used in measuring technology, radio and wire communications, and household appliances.
- a digital clock with an alarm clock contains a digital comparator, in which, when the current time coincides with the set one, an audible signal sounds.
- the first digital comparator is pre-set to 0 hour. 0 min. (Alarm clock 1), meaning the beginning of the night time of the day, and on the second - the value of 6 hours. 0 min. (Alarm clock 2) indicating the end of night time. These values refer to the second set of functional parameters (set 2) of the device (bracelet).
- set 2 the second set of functional parameters
- the device implements the critical physiological parameter "night time”, which characterizes the conditional type of activity of the subject "Sleep", that is, the presence of a certain factor risk is set only if it belongs to this current state.
- a sensor as an accelerometer, which measures the movement of the device in space, can be additionally used.
- the signals from the threshold device (Comparator 1), which, if there is “1” at its output, the presence of the first factor, and the signals from the third digital comparator (Digit, comparator 3), meaning if there is “1” at its output, the presence of the second factor is fed to the fourth digit comparator (Digital, comparator 4), in which they are compared.
- the fourth digit comparator Digital, comparator 4
- a signal equal to “1” is also formed at its output, which means there is a risk of reducing the adaptive capabilities of the subject’s body (Risk 2).
- the signal from the logic element of the fourth digital comparator "lights" the LED.
- the advantage of the invention is the ease of implementation and versatility, which makes it possible to determine health risks using any signals with any data on the parameters and data on the state of the subject's body.
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JP2024506902A JP2024530182A (en) | 2021-08-03 | 2022-08-02 | Apparatus and method for assessing and monitoring health risks in subjects - Patents.com |
CN202280064986.1A CN118019485A (en) | 2021-08-03 | 2022-08-02 | Apparatus and method for assessing and monitoring health risk of a subject |
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RU2021123170A RU2786479C1 (en) | 2021-08-03 | Device and method for determination and monitoring of risks for health | |
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PCT/RU2022/000247 WO2023014244A1 (en) | 2021-08-03 | 2022-08-02 | Device and method for identifying and monitoring health risks |
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JP (1) | JP2024530182A (en) |
CN (1) | CN118019485A (en) |
WO (1) | WO2023014244A1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117233648A (en) * | 2023-11-14 | 2023-12-15 | 深圳市伟鹏世纪科技有限公司 | Outdoor operation intelligent early warning system suitable for energy storage power supply |
CN118409155A (en) * | 2024-07-03 | 2024-07-30 | 南通伟达电气成套设备有限公司 | Automatic detection system for building electrical safety |
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US4360029A (en) * | 1978-04-10 | 1982-11-23 | Johnson & Johnson | Automatic mean blood pressure reading device |
US20100234748A1 (en) * | 2009-03-13 | 2010-09-16 | Moorman Randall | Method, system and computer program method for detection of pathological fluctuations of physiological signals to diagnose human illness |
WO2014197402A1 (en) * | 2013-06-04 | 2014-12-11 | Proteus Digital Health, Inc. | System, apparatus and methods for data collection and assessing outcomes |
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2022
- 2022-08-02 CN CN202280064986.1A patent/CN118019485A/en active Pending
- 2022-08-02 WO PCT/RU2022/000247 patent/WO2023014244A1/en active Application Filing
- 2022-08-02 JP JP2024506902A patent/JP2024530182A/en active Pending
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US4360029A (en) * | 1978-04-10 | 1982-11-23 | Johnson & Johnson | Automatic mean blood pressure reading device |
US20100234748A1 (en) * | 2009-03-13 | 2010-09-16 | Moorman Randall | Method, system and computer program method for detection of pathological fluctuations of physiological signals to diagnose human illness |
WO2014197402A1 (en) * | 2013-06-04 | 2014-12-11 | Proteus Digital Health, Inc. | System, apparatus and methods for data collection and assessing outcomes |
Non-Patent Citations (1)
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN117233648A (en) * | 2023-11-14 | 2023-12-15 | 深圳市伟鹏世纪科技有限公司 | Outdoor operation intelligent early warning system suitable for energy storage power supply |
CN117233648B (en) * | 2023-11-14 | 2024-01-23 | 深圳市伟鹏世纪科技有限公司 | Outdoor operation intelligent early warning system suitable for energy storage power supply |
CN118409155A (en) * | 2024-07-03 | 2024-07-30 | 南通伟达电气成套设备有限公司 | Automatic detection system for building electrical safety |
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JP2024530182A (en) | 2024-08-16 |
CN118019485A (en) | 2024-05-10 |
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