Auxiliary assessment method and system for cardiac function
AssigneeKaohsiung Medical University
InventorsChao-Wen Chen, Hao-Yun Kao, Yu-Cheng Chuang, Jo-Nan Wu, Wen-Yen Chang
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Abstract
An auxiliary assessment method for cardiac function performed by a computing unit includes collecting a number of heartbeats and an amount of movement of a subject in a period of time; and calculating a distance per beat to assess cardiac function of the subject. The distance per beat is defined by dividing the amount of movement by the number of heartbeats. A length of the period of time is defined between at least two adjacent heartbeats. The amount of movement corresponds to a cumulative amount of movement in the period of time.
Claims14
An auxiliary assessment method for cardiac function of a subject, comprising:
- measuring, via a heart rate detection unit comprising a physiological sensor configured to detect heartbeats, and via a distance detection unit comprising at least one of a global positioning system (GPS), an accelerometer, a gyroscope, or a device applying triangulation-based positioning, a number of heartbeats of the subject and a cumulative amount of movement of the subject in a period of time, wherein the period of time is defined between at least two adjacent heartbeats;
- calculating, by a computing unit coupled to the heart rate detection unit and the distance detection unit:
- (i) a distance per beat (centimeter per beat, CMPB), measured in centimeters, by dividing the cumulative amount of movement by the number of heartbeats in the period of time;
- (ii) a speed of the subject in kilometers per hour by dividing the cumulative amount of movement by the period of time;
- and
- (iii) a normalized three-kilometer distance per beat (CMPB3) by multiplying the CMPB by 3 and dividing the product by the speed;
- comparing the CMPB3 with a predefined standard value of the CMPB3 from 50, 40, 33.4, or 23.8, based on a health condition of the subject;
- automatically generating a warning signal when an absolute difference between the CMPB3 and the predefined standard value exceeds a tolerance ranging from 5 to 30;
- and
- transmitting the warning signal to a display device configured to present a visual indication of cardiac function status using lights or patterns of different colors.
An auxiliary assessment system for cardiac function, comprising:
- a heart rate detection unit comprising a physiological sensor configured to measure a number of heartbeats of a subject in a period of time;
- a distance detection unit comprising at least one of a global positioning system (GPS), an accelerometer, a gyroscope, or a device applying triangulation-based positioning, the distance detection unit being configured to measure a cumulative amount of movement of the subject in the period of time, wherein the period of time is defined between at least two adjacent heartbeats;
- a computing unit coupled to the heart rate detection unit and the distance detection unit, wherein the computing unit is configured to;
- (i) receive the number of heartbeats and the cumulative amount of movement;
- (ii) calculate a distance per beat (centimeter per beat, CMPB), measured in centimeters, by dividing the cumulative amount of movement by the number of heartbeats in the period of time;
- (iii) calculate a speed of the subject in kilometers per hour by dividing the cumulative amount of movement by the period of time;
- (iv) calculate a normalized three-kilometer distance per beat (CMPB3) by multiplying the CMPB by 3 and dividing the product by the speed;
- (v) compare the CMPB3 with a predefined standard value of the CMPB3, the predefined standard value of the CMPB3 being selected from 50, 40, 33.4 or 23.8;
- and
- (vi) automatically generate a warning signal when an absolute difference between the CMPB3 and the predefined standard value of the CMPB3 exceeds a tolerance ranging from 5 to 30;
- and
- a display device coupled to the computing unit and configured to receive the warning signal and present a visual indication of cardiac function using lights or patterns of different colors.
Dependencies are inferred from the claim text.