PHYSIOLOGY MONITORING SYSTEM AND PHYSIOLOGY MONITORING METHOD

• US 20130317319A1
• Filed: 04/28/2013
• Published: 11/28/2013
• Est. Priority Date: 05/23/2012
• Status: Abandoned Application

• Current Assignee: Accton Technology Corporation, National Cheng KUNG University (Government of The Republic of China)
• Original Assignee: Accton Technology Corporation, National Cheng KUNG University (Government of The Republic of China)
• Inventors: LIN, Fuh-Jang, HUANG, Yueh-Min, LAI, Chin-Feng, LAI, Ying-Xun, CHANG, Sung-Yen
• Application Number:
  US13/872,151
• Publication Number:
  US 20130317319A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6897 Computer input devices, e.g. mice or keyboards
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

A physiology monitoring system and a physiology monitoring method are disclosed. The physiology monitoring system includes a physiological information sensor, a data analysis device and an application service system. The physiological information sensor is suitable for sensing physiological information of a user. The data analysis device is suitable for receiving data of the physiological information from the physiological information sensor, calculating a plurality of data features of the data, determining whether each data feature has an alert condition event, calculating occurrence probabilities of a plurality of critical condition events or a plurality of physiology condition events by using the corresponding alert condition event or events, and determining a critical condition or a physiology condition of the user according to the occurrence probabilities. The application service system can provide the user with a service according to the critical condition or a physiology condition of the user.

Claims

1. A physiology monitoring system, including:

a physiological information sensor, suitable for sensing at least one of physiological information of a user;

a data analysis device, suitable for receiving a plurality of data from the at least one physiological information from the physiological information sensor, calculating a plurality of data features of the data of the at least one physiological information, determining whether each of the data features has an alert condition event, calculating occurrence probabilities of a plurality of critical condition events or a plurality of physiology condition events by using the corresponding alert condition event(s), and determining a critical condition or a physiology condition of the user according to the occurrence probabilities of the critical condition events or the physiology condition events; and

an application service system, suitable for providing the user with a service according to the critical condition or the physiology condition of the user.

2. The physiology monitoring system according to claim 1, wherein the physiological information sensor includes:

a casing;

a physiological information sensing module, disposed within the casing and suitable for sensing the at least one physiological information;

a message transmission module, disposed within the casing and suitable for transmitting the received data to the data analysis device;

a system management module, disposed within the casing and suitable for collecting the data of the at least one physiological information and transmitting the data to the message transmission module; and

a connector, disposed on an outer side surface of the casing and suitable for connecting the casing to a device being used by the user.

3. The physiology monitoring system according to claim 1, wherein the application service system is a health care system, and is suitable for providing the user with a health care service according the critical condition of the user.

4. The physiology monitoring system according to claim 3, wherein the at least one physiological information includes body temperature, blood oxygen concentration, blood pressure and/or heartbeat, and the data features include a maximum value, a minimum value, an average value, a root mean square value, a standard deviation, information entropy and/or a frequency.

5. The physiology monitoring system according to claim 1, wherein the application service system is a learning analysis system and is suitable for facilitating learning efficiency of the user according to the physiology condition of the user.

6. The physiology monitoring system according to claim 5, wherein the at least one physiological information includes body temperature, blood oxygen concentration and/or pressure, and the data features include an average value, a duration time, an amount and/or a discrete value.

7. A physiology monitoring method, including:

using a physiological information sensor to sense at least one physiological information of a user;

using the physiological information sensor to compare a plurality of data of the at least one physiological information being sensed;

using a data analysis device to calculate a plurality of data features corresponding to the data of the at least one physiological information through the data of the at least one physiological information;

using the data analysis device to determine whether each of the data to features has an alert condition event;

using the data analysis device to calculate occurrence probabilities of corresponding critical condition events or a corresponding physiology condition events according to the alert condition event or the alert condition events when one alert condition event or a plurality of alert condition events occur among the data features;

using the data analysis device to determine a critical condition or a physiology condition of the user according to occurrence probability values of the critical condition events or the physiology condition events corresponding to the alert condition event or the alert condition events; and

using the data analysis device to transmit the critical condition or the physiology condition to an application service system.

8. The physiology monitoring method according to claim 7, wherein the physiological information sensor includes a casing, and a physiological information sensing module, a message transmission module and a system management module disposed within the casing, the system management module includes a timing unit, a signal conversion unit and a comparison unit, and the step of comparing the data includes:

using the timing unit to periodically require the physiological information sensing module to sense the at least one physiological information of the user;

using the signal conversion unit to convert the data from an analogue model to a digital model; and

using the comparison unit to compare the converted data being, so as to determine whether each of the data is changed with respect to a previous one of the data of the at least one physiological information.

9. The physiology monitoring method according to claim 7, wherein when each of the data features does not have the alert condition event, the data analysis device is used to display the data.

10. The physiology monitoring method according to claim 7, wherein when each of the data features does not have the alert condition event, the data analysis device is used to transmit the data to the application service system, and the data are displayed by the application service system.

11. The physiology monitoring method according to claim 7, wherein

when each of the data complies with the historical record, the physiology monitoring method returns to the step of sensing the at least one physiological information of the user;

and

when each of the data does not comply with the historical record, the data analysis device uses each datum of these data to update the historical record is updated with each of the data by the data analysis device.

12. The physiology monitoring method according to claim 7, wherein the application service system is a health care system, the physiological information sensor is used to sense body temperature, blood oxygen concentration, blood pressure and/or heartbeat of the user, and the data analysis device is used to calculate a maximum value, a minimum value, an average value, a root mean square value, a standard deviation, information entropy and/or a frequency corresponding to the data of the at least one physiological information.

13. The physiology monitoring method according to claim 7, wherein the application service system is a learning analysis system, the physiological information sensor is used to sense body temperature, blood oxygen concentration and/or pressure of the user, and the data analysis device is used to calculate an average value, a duration time, an amount and/or a discrete value corresponding to the data of the at least one physiological information.

14. The physiology monitoring method according to claim 7, wherein the step of using the data analysis device to determine whether each of the data features has the alert condition event is performed by determine that whether each of the data features exceeds a corresponding predetermined alert value, and when one of the data features exceeds the corresponding predetermined alert value, the one of the data features has the alert condition event.

15. The physiology monitoring method according to claim 7, wherein the step of using the data analysis device to calculate occurrence probabilities of the corresponding critical condition events or physiology condition events according to the alert condition event or the alert condition events includes:

finding the occurrence probability of each of the critical condition events or the physiology condition events under the alert condition event or the alert condition events according to a historical record;

counting a possible occurrence probability of each of the critical condition events or the physiology condition events corresponding to the alert condition event or the alert condition events, and occurrence probabilities of the alert condition event or the alert condition events under each of the critical condition events or the physiology condition events; and

multiplying the occurrence probabilities of the critical condition events or the physiology condition events by the occurrence probabilities of the corresponding alert condition event or the corresponding alert condition events to obtain a calculating result, and then dividing the calculating result by the possible occurrence probability of each of the critical condition events or the physiology condition events corresponding to the alert condition event or the alert condition events.

16. The physiology monitoring method according to claim 7, wherein when the alert condition event or the alert condition events last more than a predetermined duration time, the data analysis device determines that the critical condition event or the physiology condition event occurs.