BODY SIGN DYNAMICALLY MONITORING SYSTEM

• US 20110288379A1
• Filed: 07/17/2008
• Published: 11/24/2011
• Est. Priority Date: 08/02/2007
• Status: Abandoned Application

• Current Assignee: Wuxi Microsens Co., Ltd.
• Original Assignee: Wuxi Microsens Co., Ltd.
• Inventors: Wu, Jiankang
• Application Number:
  US12/671,523
• Publication Number:
  US 20110288379A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02 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
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A real-time body status monitoring system (RBMS) is presented in this invention. A wearable monitoring apparatus (WMA) worn by users consists of one or a few sensor nodes and a computing module. Sensor nodes communicate with the computing module via either wired or wireless protocols. RBMS incorporates a monitoring center that connects and serves many WMAs. Together with the sensors and context-aware information fusion and analysis, the system in the invention goes beyond sampling rare events that may be of profound diagnostic, prognostic, or therapeutic importance. It measures the physiological responses to therapeutic interventions during daily activities, which constitute direct and practical health indicators for the patient.

Claims

1. A real-time body status monitoring system (RMBS), comprising:

a sensor node, which is attached to the body of a user and falls into one of two categories of sensors;

physiological sensors or contextual and situational sensors;

a computing module connected to the sensor nodes, which provides a means for acquiring multiple sensor signals, performing multiple-sensor signal fusion and analysis for sensors of the same type placed on different locations of the body, performing context-aware fusion of physiological and contextual information, storing analysis results and sample data in a database, interacting with the user, and communicating with the monitoring center; and

a monitoring center that connects to and serves many WMAs wirelessly or via a network infrastructure, forming a complete RBMS, a means for receiving and storing data in the central database, providing a platform for further data analysis across users, time, and data modalities, providing a platform for consultation services and real-time emergency response, and for prompt connections between users, caregivers, and family members;

wherein,

one computing module and one or a few sensor nodes constitute a WMA worn by a user.

2. The real-time body status monitoring system (RMBS) of claim 1, wherein

the physiological sensors that are attached to the user'"'"'s body include, but are not necessarily limit to, heart rate meters, electrocardiograms (ECGs), sphygmomanometers, blood oxygen saturation meters, thermometers, respirometers, electroencephalographs, and blood glucose meters;

said contextual and situational sensors consist of three subcategories of sensors;

(1) activity sensors, including, but not necessarily limit to, accelerometers, microgyroscopes, tensiometers, and video cameras;

(2) environmental sensors, including, but not necessarily limit to, temperature sensors, acoustic sensors that measure the noise level, and location sensors; and

(3) physiological sensors, including, but not necessarily limit to, skin conductivity sensors, electroencephalogram sensors, and microphones.

3. The real-time body status monitoring system (RMBS) of claim 2, wherein said sensor attachment means include, but are not necessarily limited to, pasting, binding, and embedding in accessories, such as clothes, hats, shoes, gloves, corsets, watches and earphones.

4. The real-time body status monitoring system (RMBS) of claim 1, wherein said computing module consists of:

a) a set of preamplifiers and analog-to-digital converters, a means for receiving signals collected by sensors, amplifying those signals, then converting the signals to digital signals;

b) a set of sensor signal fusion and analysis units (SFAs), which fuse and analyze signals from the same type of sensor placed on different parts of the body;

the units then send the processed results to the local database;

the processed results can be used as input for context-aware multi-sensor information fusion units (CIFs), or used by the user, caregiver, or a family member directly;

c) a CIF, which provides a means for receiving results from the SFAs and fusing physiological information in the context of activity, environment, and physiological status to estimate the health status of the user by means of Bayesian network dynamic theory;

d) a human-machine interaction unit (HMI), which provides a means for displaying the results from SFAs and CIFs, receiving and responding to the requests of users, and displaying information from the monitoring center;

e) a local monitoring database unit (LMDB), which provides a means for storing data over the course of weeks and months;

here, the data includes sensor raw data, results from SFAs and CIFs, personal profile data, medical history information, and parameters and thresholds that define alerts and reminder criteria; and

f) a local systematic database unit (LSDB), which provides a means for storing configurations and runtime parameters for the WMA.

5. The real-time body status monitoring system (RMBS) of claim 1, wherein

said monitoring center consists of:

a) a context-aware diagnosis and service unit, which provides a platform that supports sets of analysis tools for fusing and mining information across users, time, and data modalities to find rules and regularities for context-aware diagnosis and therapy in daily life, and providing a platform for prompt medical and consultation services;

b) a central database, means for storing all gathered information, including results from the WMA together with samples of raw sensor data, a user'"'"'s personal profile information, medical records, the diagnosis results, treatment plan, and therapy results; and

c) a central system management database (CSDB) and software administrative means for storing all system parameters for the complete RBMS.

6. The real-time body status monitoring system (RMBS) of claim 4, wherein once the threshold values are reached, alerts or reminders will be triggered according to predefined rules in the LMDB.

7. The real-time body status monitoring system (RMBS) of claim 4, wherein the LSDB receives commands from the monitoring center and modifies the system parameters of WMAs appropriately.

8. The real-time body status monitoring system (RMBS) of claim 4, wherein the central database, CSDB, and software administration synchronize with the LMDBs and LSDBs bidirectionally in an event-driven manner LMDBs initiate synchronization with the central database if new data and analysis results are present;

LSDBs initiate synchronization with the CSDB and software administration if hardware or system changes are required for the WMA;

the central database initiates synchronization with LMDBs if the alert or reminder parameter sets or medical instructions change;

the CSDB and software administration initiates synchronization with the LSDBs when any system commands are issued.

9. The real-time body status monitoring system (RMBS) of claim 4, wherein said WMA consists of a computing module and one or several sensor nodes, and these units are connected via either wired or wireless communication, and the computing module communicates with the monitoring center;

a) the sensor node is an embedded system or a system on a chip that consists of one or several sensors, preamplifiers, and analog-to-digital converters, wired/wireless communication, microcontrollers, and power management;

b) a computing module is implemented on a dedicated microcomputer or off-the-shelf personal digital assistant (PDA) or smart phone to include the SFAs, CIF, LMDB, LSDB, and HMI; and

c) SFAs can be implemented in a sensor node or computing module;

depending on the computing capabilities of the sensor node, the quantity of data transmitted may be greatly reduced if analysis functions are implemented within the sensor node.

10. The real-time body status monitoring system (RMBS) of claim 4, wherein the second implementation includes sensors that are directly connected to the computing module, which is implemented in a portable microcomputer, PDA, or smart phone, and in which all data processing is implemented;

the computing module is also connected to the monitoring center wirelessly or through a network infrastructure.

11. The real-time body status monitoring system (RMBS) of claim 4, wherein yet another implementation option includes extension of the computing power of sensor nodes to include all data processing units, including SFAs and CIF;

this “

powerful sensor node”

connects to a PDA or smart phone, which acts as the user interface, data storage, and communication intermediate with the monitoring center.

12. The real-time body status monitoring system (RMBS) of claim 4, wherein the SFAs achieve significant data interpretation via processing, analyzing, and fusing signals from sensors of the same type that are located at different parts of the body;

for example, identifying activity type, intensity, and duration by fusing acceleration signals from different part of the body, calculating heart rates and detecting abnormal waveforms in the ECG signals from various electrodes.

13. The real-time body status monitoring system (RMBS) of claim 4, wherein contextual/situational factors affect the body physiological status, including activity, environment, and physiological factors;

wherein context-aware information fusion means the evaluation of the body status according to physiological measurement in the context of situational information.

14. The real-time body status monitoring system (RMBS) of claim 5, wherein context-aware service means services based on the analysis and results of long-term recording of physiological status, physiological circadian indicators, variations of these indicators, respective contextual information, derivations from an individual'"'"'s data and across users and age groups.

15. The real-time body status monitoring system (RMBS) of claim 1, wherein when the monitoring center is unavailable, a user can acquire body status information and receive alerts and reminders from the WMA, transfer crucial data to caregivers and family members;

meanwhile, all data, including the raw data and processed results, are stored for weeks or months within the WMA.

16. The real-time body status monitoring system (RMBS) of claim 1, wherein the WMA becomes a specific apparatus when only one type of sensor is included:

a) the WMA becomes a dynamic heart monitor if only an electrocardiograph sensor is included;

b) the WMA becomes an activity monitor if only accelerometers and gyroscopes are included;

the monitor can be used for continuous activity monitoring, activity identification, quantitative analysis, energy consumption calculations, and exercise planning;

c) the WMA becomes a localizer, if only a localization sensor is included; and

d) the WMA becomes a mood meter, if only skin conduction sensors are included.

17. The real-time body status monitoring system (RMBS) of claim 4, wherein human-machine interactions include functions such as timing, display of information processing and analysis results, network-based interactions, system maintenance and update, and self-organization;

it can be used to select, set, modify, and run application programs according to variations in the sensor configuration.

18. The real-time body status monitoring system (RMBS) of claim 1, wherein the system can be simplified to a health monitoring and consultation apparatus in which part or all sensors in the group, ECG sensors, accelerometers, respiration sensors, and environmental thermographs, are used;

through use of the apparatus, a cardiovascular health index test can be performed to devise, guide, and monitor an exercise plan;

the heart status can be monitored during exercise for safety.

19. The real-time body status monitoring system (RMBS) of claim 18, wherein, the apparatus can access the online community, which forms a platform for communication and consultation;

in the community, user accounts are created, storage space is allocated, and data analysis tools are provided;

users can communicate directly with professional clinicians online or leave messages;

they can communicate with other uses and form interest groups.

20. The real-time body status monitoring system (RMBS) of claim 1, wherein, the community is accessed by the WMA wirelessly;

the WMA can upload data to the user'"'"'s account automatically, download and upgrade new software and analysis tools, receive medical advice and messages;

the user can manage his own account and analyze his own data using the tools provided.