Wearable physiological monitoring and notification system based on real-time heart rate variability analysis
First Claim
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1. A method for real-time detection, analysis, and application of heart rate variability (HRV) using a wearable device, the method comprising:
- (a) detecting a plurality of consecutive heartbeat related waves using one or more electrodes integrated within the wearable device (200);
(b) detecting a specific wave characteristic of each heartbeat related wave, of the plurality of consecutive heartbeat related waves (201);
(c) triggering an event when each specific wave characteristic crosses a trigger point (202), wherein the event is based on one or more inputs unrelated to the plurality of consecutive heartbeat related waves,(d) recording a time value for each event triggered (203);
(e) determining and recording an interval for each time value to generate a temporal interval array (204);
(f) analyzing the plurality of consecutive heart beat related waves, each time value, and each interval for suitability of use for HRV related applications, said analysis comprises;
(i) detecting a presence of one or more ectopic beats from the plurality of consecutive heartbeat related waves (205);
(ii) correcting each time value and interval associated with each ectopic beat (206);
(iii) determining the suitability for application of each time value and each interval for a set of predetermined or dynamically set conditions (207); and
(iv) determining one or more HRV measurements based on data in the temporal interval array (208); and
wherein the one or more HRV measurements are combined with one or more additional predetermined or dynamically set input to determine when an alert is sent to one or more pre-determined parties via a real-time notification (209).
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Abstract
Methods, devices, and systems for monitoring heart rate variability (HRV) are presented. The HRV monitoring systems and devices are adapted to give immediate feedback to the subject concerning their current condition and any pertinent changes in their condition. The HRV monitoring systems and devices detect, analyze, and assess HRV against a pre-determined application or user need. They also have the ability to provide real time notifications based on the system'"'"'s assessment of a user'"'"'s heart HRV and changes in the HRV.
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Citations
20 Claims
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1. A method for real-time detection, analysis, and application of heart rate variability (HRV) using a wearable device, the method comprising:
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(a) detecting a plurality of consecutive heartbeat related waves using one or more electrodes integrated within the wearable device (200); (b) detecting a specific wave characteristic of each heartbeat related wave, of the plurality of consecutive heartbeat related waves (201); (c) triggering an event when each specific wave characteristic crosses a trigger point (202), wherein the event is based on one or more inputs unrelated to the plurality of consecutive heartbeat related waves, (d) recording a time value for each event triggered (203); (e) determining and recording an interval for each time value to generate a temporal interval array (204); (f) analyzing the plurality of consecutive heart beat related waves, each time value, and each interval for suitability of use for HRV related applications, said analysis comprises; (i) detecting a presence of one or more ectopic beats from the plurality of consecutive heartbeat related waves (205); (ii) correcting each time value and interval associated with each ectopic beat (206); (iii) determining the suitability for application of each time value and each interval for a set of predetermined or dynamically set conditions (207); and (iv) determining one or more HRV measurements based on data in the temporal interval array (208); and wherein the one or more HRV measurements are combined with one or more additional predetermined or dynamically set input to determine when an alert is sent to one or more pre-determined parties via a real-time notification (209). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A wearable device (100) for real-time detection, analysis, and application of heart rate variability (HRV), the device comprising:
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(a) a chest strap (120) or wearable article integrated with one or more strap electrodes (307) to detect a plurality of consecutive QRS waves; and (b) a battery-powered, self-contained processing circuit (110) comprising; (i) a microprocessor (301), operatively coupled to the one or more strap electrodes (307), configured to receive one or more additional inputs unrelated to the plurality of consecutive QRS waves detected by the one or more strap electrodes (307); (ii) an electrocardiogram (“
ECG”
) analog front end (“
AFE”
) circuit (306), coupled between the microprocessor (301) and the one or more strap electrodes (307), providing a signal gain control to an output of the one or more strap electrodes (307) so that the output has a desired amplitude before transmission to the microprocessor (301);(iii) a non-volatile memory (308), operatively coupled to the microprocessor (301), storing computer-readable instructions which, when executed by the microprocessor (301), cause the microprocessor (301) to perform operations comprising; (A) detecting a rising edge, a peak, or a declining edge of an R- wave from each QRS wave; (B) triggering an event when the rising edge, the declining edge, or the peak of each R-wave crosses a trigger point, wherein the trigger point is a predetermined value or a dynamically adjusted value; (C) recording a time value for each event triggered; (D) determining and recording an R-R interval for each time value to generate a temporal R-R interval array, which is stored in the non-volatile memory (308); (E) analyzing the plurality of consecutive heart beat related waves, each time value, and each interval for suitability of use for HRV related applications, said analysis comprises; (I) detecting a presence of one or more ectopic beats from the plurality of consecutive heartbeat related waves; (II) correcting each time value and interval associated with each ectopic beat; (III) determining the suitability for application of each time value and each interval for a set of predetermined or dynamically set conditions; and (IV) determining one or more HRV measurements based on data in the temporal R-R interval array; and wherein the one or more HRV measurements are combined with one or more additional predetermined or dynamically set input to determine when an alert is sent to one or more pre-determined parties via a real-time notification. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification