WO2023026302A1 - System and method for real-time remote health monitoring - Google Patents

System and method for real-time remote health monitoring Download PDF

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WO2023026302A1
WO2023026302A1 PCT/IN2022/050755 IN2022050755W WO2023026302A1 WO 2023026302 A1 WO2023026302 A1 WO 2023026302A1 IN 2022050755 W IN2022050755 W IN 2022050755W WO 2023026302 A1 WO2023026302 A1 WO 2023026302A1
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wearable device
health
patient
parameters
vital
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PCT/IN2022/050755
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French (fr)
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Rashmiranjan MOHAPATRA
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Asiczen Technologies India Private Limited
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    • 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
    • G16H40/67—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 remote operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • G—PHYSICS
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    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • A—HUMAN NECESSITIES
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    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/02233—Occluders specially adapted therefor
    • A61B5/02241—Occluders specially adapted therefor of small dimensions, e.g. adapted to fingers
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    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14539—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring pH
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • 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
    • G16H40/20—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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Definitions

  • the present invention is generally related to a system and a method for real-time monitoring of health of patients.
  • the present invention is particularly related to a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
  • the present invention is also related to a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
  • the primary object of the present invention is to provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
  • Another object of the present invention is to provide a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
  • Yet another object of the present invention is to provide reliable monitoring of a patient’s health by reducing false alarms and improving diagnostics through a plurality of sensors embedded in a device that is wearable by a patient or situated in the proximity of the patient.
  • Yet another object of the present invention is to provide a system and a method that utilizes Artificial Intelligence for prediction of health risks to a patient by analyzing the data obtained by sensors monitoring the health of the patient.
  • Yet another object of the present invention is to provide a system and method for contextually rendering health information of a patient on a plurality of display devices.
  • Yet another object of the present invention is to provide a system for optimizing the power usage a plurality of devices that monitor the health of patients and provide contextual rendering of the health information.
  • Yet another object of the present invention is to provide a system that automatically generates reports on the health of a patient over a period and provide predictive insights on the patient’s health risks.
  • the various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
  • the present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
  • a wearable device for measuring a plurality of vital signs of a patient, including the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) with other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH for personal health and wellness monitoring applications.
  • the wearable device is lightweight and comprises signal-quality-aware processing techniques and AI powered personal health prediction by fusing contextual information, including overall energy consumption of the wearable device and resource-constrained affordable high-speed processor.
  • the wearable device is enabled with the signal quality-aware parameter extraction technique, along with event-triggered data storing and communication mechanism, which significantly reduces the false alarms, energy consumption, bandwidth utilization and treatment costs in both on-device vital sign monitor and cloud-based vital sign monitoring applications.
  • FIG. 1 illustrates a system for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users, according to one embodiment of the present invention.
  • the various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
  • the present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
  • a wearable device for measuring a plurality of vital signs of a patient, including the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) with other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH for personal health and wellness monitoring applications.
  • the wearable device is lightweight and comprises signal-quality-aware processing techniques and AI powered personal health prediction by fusing contextual information, including overall energy consumption of the wearable device and resource-constrained affordable high-speed processor.
  • the wearable device is enabled with the signal quality-aware parameter extraction technique, along with event-triggered data storing and communication mechanism, which significantly reduces the false alarms, energy consumption, bandwidth utilization and treatment costs in both on-device vital sign monitor and cloud-based vital sign monitoring applications.
  • a wearable device for sensing the blood pressure (BP) of a patient through a plurality of measurement methods and implementations, including length-based BP measurements and finger-based BP measurements.
  • the system for monitoring the health of patients in real-time includes a laser-based PPG measurement module that is configured to provide highly accurate measurements through deeper penetration, higher absorption and lesser scattering as compared to conventional methods currently employed.
  • a system for analyzing the health parameters measured using the wearable device.
  • the system includes a plurality of locally and remotely located computing devices that are configured to analyze the health parameters of the patients and identify intelligible insights from the parameters through preset rules and real-time Machine Learning and Artificial Intelligence capabilities.
  • the system is configured to render the data, information obtained from the data, predictive information on the patient’s health and reports of a plurality of parameters in a plurality of display devices in a contextual manner.
  • a display device at a nurse’s station would provide a detailed analysis of the patient’s health conditions including an alerting mechanism for informing the nurses of any sudden changes in the physiology of the patient
  • a different display device at the house of the patient would provide an abstracted information on the patient’s well being to the family of the patient.
  • the display devices are dedicated digital display screens and also the computing devices of the users, such as laptop computers, tablet PCs and smartphones.
  • the system includes a plurality of Vital Monitoring Sensors 101a, 101b,...., 101n, a Communication module 102, an Internet module 103, a Local server 104, a Cloud server 105, a plurality of End-user Devices 106a, 106b,...., 106n, a plurality of Display modules 107a, 107b,...., 107n and a plurality of Computing Devices 108a, 108b,...., 108n.
  • the various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
  • the present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
  • the system is configured to measure a plurality of vital signs of a patient using a single wearable device.
  • the system employs a laser-based PPG measurement for higher accuracy through deeper penetration.
  • the system is also configured to measure the BP of patients through a plurality of methods.
  • the system is designed to optimize the number of components used to enable the real-time monitoring of patients and thereby optimizes the power usage of the system.

Abstract

The various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through a wearable device that provides contextual alerts and information to a plurality of stakeholders. The wearable device is lightweight and comprises signal-quality-aware processing techniques and AI powered personal health prediction by fusing contextual information, including overall energy consumption of the wearable device and resource-constrained affordable high-speed processor. The wearable device is enabled with the signal quality-aware parameter extraction technique, along with event-triggered data storing and communication mechanism, which significantly reduces the false alarms, energy consumption, bandwidth utilization and treatment costs in both on-device vital sign monitor and cloud-based vital sign monitoring applications.

Description

SYSTEM AND METHOD FOR REAL-TIME REMOTE HEALTH MONITORING CROSS-REFERENCE TO RELATED APPLICATIONS
The embodiments herein claim the priority of the Indian Provisional Patent Application filed on August 24, 2021 with the number 202131038190 and entitled, "SYSTEM AND METHOD FOR REAL-TIME REMOTE HEALTH MONITORING”, and the contents of which are included in entirety as reference herein.
The present invention is generally related to a system and a method for real-time monitoring of health of patients. The present invention is particularly related to a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The present invention is also related to a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
The patients in hospitals, nursing homes or health care facilities do not always receive the right attention when the ratio of healthcare personnel to patients is low, especially in times of high-patient-occupancy. Patient attendants or caregivers have a tough time getting the attention of nurses or doctors, typically during wee hours, to attend to the patient in case of emergencies or otherwise. This is also a result of the fact that doctors do not have any automated medium to monitor the vitals of their patients.
Currently, patients' families at home or in a different part of a hospital do not know what is going on with the patient, they too have to depend on the doctors or other medical professional for updates on progress of patient health and treatment. This puts enormous pressure on the time and resources available at the hospital. Though currently digital patient beds are available with monitors and other medical apparatus attached, they are a recent phenomenon and there are no systems in place to monitor the health of patients in conventional hospital beds.
Hence, there exists a need for a real-time system and a method for monitoring the health of patients and provide alerts to a plurality of users including caregivers, nurses, doctors and family members of the patient. There also exists a need for a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients.
The above mentioned shortcomings, disadvantages and problems are addressed herein, which will be understood by reading and studying the following specification.
OBJECT OF THE INVENTION
The primary object of the present invention is to provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users.
Another object of the present invention is to provide a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
Yet another object of the present invention is to provide reliable monitoring of a patient’s health by reducing false alarms and improving diagnostics through a plurality of sensors embedded in a device that is wearable by a patient or situated in the proximity of the patient.
Yet another object of the present invention is to provide a system and a method that utilizes Artificial Intelligence for prediction of health risks to a patient by analyzing the data obtained by sensors monitoring the health of the patient.
Yet another object of the present invention is to provide a system and method for contextually rendering health information of a patient on a plurality of display devices.
Yet another object of the present invention is to provide a system for optimizing the power usage a plurality of devices that monitor the health of patients and provide contextual rendering of the health information.
Yet another object of the present invention is to provide a system that automatically generates reports on the health of a patient over a period and provide predictive insights on the patient’s health risks.
These and other objects and advantages of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.
The various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
According to one embodiment of the present invention, a wearable device is provided for measuring a plurality of vital signs of a patient, including the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) with other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH for personal health and wellness monitoring applications. The wearable device is lightweight and comprises signal-quality-aware processing techniques and AI powered personal health prediction by fusing contextual information, including overall energy consumption of the wearable device and resource-constrained affordable high-speed processor. The wearable device is enabled with the signal quality-aware parameter extraction technique, along with event-triggered data storing and communication mechanism, which significantly reduces the false alarms, energy consumption, bandwidth utilization and treatment costs in both on-device vital sign monitor and cloud-based vital sign monitoring applications.
These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating the preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
The other objects, features and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanying drawings in which:
illustrates a system for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users, according to one embodiment of the present invention.
Although the specific features of the present invention are shown in some drawings and not in others. This is done for convenience only as each feature may be combined with any or all of the other features in accordance with the present invention.
In the following detailed description, a reference is made to the accompanying drawings that form a part hereof, and in which the specific embodiments that may be practiced is shown by way of illustration. These embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments and it is to be understood that other changes may be made without departing from the scope of the embodiments. The following detailed description is therefore not to be taken in a limiting sense.
The various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders.
According to one embodiment of the present invention, a wearable device is provided for measuring a plurality of vital signs of a patient, including the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) with other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH for personal health and wellness monitoring applications. The wearable device is lightweight and comprises signal-quality-aware processing techniques and AI powered personal health prediction by fusing contextual information, including overall energy consumption of the wearable device and resource-constrained affordable high-speed processor. The wearable device is enabled with the signal quality-aware parameter extraction technique, along with event-triggered data storing and communication mechanism, which significantly reduces the false alarms, energy consumption, bandwidth utilization and treatment costs in both on-device vital sign monitor and cloud-based vital sign monitoring applications.
According to one embodiment of the present invention, a wearable device is provided for sensing the blood pressure (BP) of a patient through a plurality of measurement methods and implementations, including length-based BP measurements and finger-based BP measurements.
According to one embodiment of the present invention, the system for monitoring the health of patients in real-time includes a laser-based PPG measurement module that is configured to provide highly accurate measurements through deeper penetration, higher absorption and lesser scattering as compared to conventional methods currently employed.
According to one embodiment of the present invention, a system is provided for analyzing the health parameters measured using the wearable device. The system includes a plurality of locally and remotely located computing devices that are configured to analyze the health parameters of the patients and identify intelligible insights from the parameters through preset rules and real-time Machine Learning and Artificial Intelligence capabilities. The system is configured to render the data, information obtained from the data, predictive information on the patient’s health and reports of a plurality of parameters in a plurality of display devices in a contextual manner. For example, while a display device at a nurse’s station would provide a detailed analysis of the patient’s health conditions including an alerting mechanism for informing the nurses of any sudden changes in the physiology of the patient, a different display device at the house of the patient would provide an abstracted information on the patient’s well being to the family of the patient. The display devices are dedicated digital display screens and also the computing devices of the users, such as laptop computers, tablet PCs and smartphones.
illustrates a system for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The system includes a plurality of Vital Monitoring Sensors 101a, 101b,…., 101n, a Communication module 102, an Internet module 103, a Local server 104, a Cloud server 105, a plurality of End-user Devices 106a, 106b,…., 106n, a plurality of Display modules 107a, 107b,…., 107n and a plurality of Computing Devices 108a, 108b,…., 108n.
Although the embodiments herein are described with various specific embodiments, it will be obvious for a person skilled in the art to practice the embodiments herein with modifications.
The various embodiments of the present invention provide a system and a method for monitoring the health of patients in real-time using a plurality of sensors and provide alerts to locally and remotely located users. The present invention also provides a system and a method for monitoring a plurality of vital health parameters of patients through sensors in a device that is wearable by the patients and providing contextual alerts and information to a plurality of stakeholders. The system is configured to measure a plurality of vital signs of a patient using a single wearable device. The system employs a laser-based PPG measurement for higher accuracy through deeper penetration. The system is also configured to measure the BP of patients through a plurality of methods. The system is designed to optimize the number of components used to enable the real-time monitoring of patients and thereby optimizes the power usage of the system.
The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such as specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modifications. However, all such modifications are deemed to be within the scope of the claims.

Claims (10)

  1. A system for monitoring the health of patients in real-time, the system comprising:
    a wearable device, wherein, the wearable device is designed to be worn by a human user in at least one art of the body, and wherein, the wearable device further comprises a plurality of vital monitoring sensors and a communication module;
    an Internet module;
    a local server;
    a plurality of end-user devices;
    a plurality of computing devices; and,
    a plurality of display modules.
  2. The system as claimed in claim 1, wherein the wearable device is configured for measuring a plurality of vital signs of the person wearing the wearable device through plurality of vital monitoring sensors, and wherein, the vital signs that are monitored include the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) and a plurality of other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH, and wherein, the wearable device is configured with signal-quality-aware processing techniques and an Artificial Intelligence powered personal health prediction process by fusing a plurality of contextual information, including overall energy consumption of the wearable device and resource-constrained high-speed processor.
  3. The system as claimed in claim 1, wherein the wearable device is enabled with the signal quality-aware parameter extraction process, along with an event-triggered data storing and communication mechanism, which significantly reduce the false alarms, energy consumption, and bandwidth utilization in both on-device vital sign monitor and cloud-based vital sign monitoring applications that are connected with the wearable device through the communication module.
  4. The system as claimed in claim 1, wherein the wearable device is provided for sensing the blood pressure (BP) of a patient through a plurality of measurement methods and implementations, including length-based BP measurements and finger-based BP measurements.
  5. The system as claimed in claim 1, wherein a laser-based PPG measurement module is configured to provide highly accurate measurements through deeper penetration, higher absorption and lesser scattering as compared to conventional methods.
  6. The system as claimed in claim 1, wherein a plurality of locally and remotely located computing devices and end-user devices are configured with applications to connect with the wearable device and analyze the health parameters of the patients and identify intelligible insights from the parameters measured by the plurality of vital monitoring sensors through preset rules and real-time Machine Learning and Artificial Intelligence capabilities.
  7. The system as claimed in claim 1, wherein the system is configured to render the data, information obtained from the data, predictive information on the patient’s health and reports of a plurality of parameters in a plurality of display devices in a contextual manner, and wherein, for example, while a display device at a nurse’s station provides a detailed analysis of the patient’s health conditions including an alerting mechanism for informing the nurses of any sudden changes in the physiology of the patient, a different display device at the house of the patient provides an abstracted information on the patient’s well-being to the family of the patient, and wherein, the display devices are dedicated digital display screens and also the computing devices, such as laptop computers, tablet PCs and smartphones.
  8. A method for monitoring the health of patients in real-time, the method comprising:
    continuous sensing of a plurality of vital health parameters of a patient using a wearable device;
    calculating a plurality of health parameters of the patient using the sensed data;
    comparing with preset normal range of values of the plurality of health parameters;
    continuous display of a plurality of parameters in a plurality of remote and local display and computing devices; and,
    transmitting a plurality of alert communication triggers to a plurality of local and remote devices through a communication module configured in the wearable device.
  9. The method as claimed in claim 8, wherein the wearable device is configured for measuring a plurality of vital signs of the person wearing the wearable device through plurality of vital monitoring sensors, and wherein, the vital signs that are monitored include the heart rate (or pulse rate (PR)), blood pressure (BP), blood oxygen saturation level (SpO2), respiration rate (RR), body temperature (BT) and a plurality of other health-related parameters such as energy expenditure (EE), skin conductance (SC), and skin pH, and wherein, the wearable device is configured with signal-quality-aware processing techniques and an Artificial Intelligence powered personal health prediction process by fusing a plurality of contextual information, including overall energy consumption of the wearable device and resource-constrained high-speed processor.
  10. The method as claimed in claim 8, wherein a plurality of locally and remotely located computing devices and end-user devices are configured with applications to connect with the wearable device and analyze the health parameters of the patients and identify intelligible insights from the parameters measured by the plurality of vital monitoring sensors through preset rules and real-time Machine Learning and Artificial Intelligence capabilities, and wherein, the applications are configured to render the data, information obtained from the data, predictive information on the patient’s health and reports of a plurality of parameters in a plurality of display devices in a contextual manner, and wherein, the display devices are dedicated digital display screens and also the computing devices, such as laptop computers, tablet PCs and smartphones.
PCT/IN2022/050755 2021-08-24 2022-08-24 System and method for real-time remote health monitoring WO2023026302A1 (en)

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Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
HAGHI MOSTAFA, THUROW KERSTIN, STOLL REGINA: "Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices", HEALTHCARE INFORMATICS RESEARCH, vol. 23, no. 1, 1 January 2017 (2017-01-01), pages 4, XP093041147, ISSN: 2093-3681, DOI: 10.4258/hir.2017.23.1.4 *
MAJUMDER SUMIT, MONDAL TAPAS, DEEN M.: "Wearable Sensors for Remote Health Monitoring", SENSORS, vol. 17, no. 12, 12 January 2017 (2017-01-12), pages 130, XP093041150, DOI: 10.3390/s17010130 *

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