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AI Biotech/Diagnostics: General Diagnostics
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Application US20190038149
Published 2019-02-07
Methods And Systems For Arrhythmia Tracking And Scoring
A dashboard centered around arrhythmia or atrial fibrillation tracking is provided. The dashboard includes a heart or cardiac health score that can be calculated in response to data from the user such as their ECG and other personal information and cardiac health influencing factors. The dashboard also provides to the user recommendations or goals, such as daily goals, for the user to meet and thereby improve their heart or cardiac health score. These goals and recommendations may be set by the user or a medical professional and routinely updated as his or her heart or cardiac health score improves or otherwise changes. The dashboard is generally displayed from an application provided on a smartphone or tablet computer of the user.
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- 1. A smart watch to detect the presence of an arrhythmia of a user, comprising:
a processing device; a photoplethysmography (“PPG”) sensor coupled to the processing device; a motion sensor operatively coupled to the processing device; and a memory operatively coupled with the processing device, the memory having instructions stored thereon that, when executed by the processing device, cause the processing device to:
receive a raw PPG waveform signal from the PPG sensor;
receive motion sensor data from the motion sensor;
generate activity level data based on the received motion sensor data;
input the raw PPG waveform signal and the activity level data into a machine learning algorithm trained to detect arrhythmias;
detect, by the machine learning algorithm, the presence of an arrhythmia; and
generate a notification of the detected arrhythmia.
- 7. A method to detect the presence of an arrhythmia of a user, comprising:
receiving, by a processing device, a photoplethysmography (“PPG”) waveform signal from a PPG sensor; inputting the PPG waveform signal into a machine learning algorithm trained to detect arrhythmias; detecting, by the machine learning algorithm, the presence of an arrhythmia; and generating a notification of the detected arrhythmia.
- 14. A non-transitory computer-readable storage medium including instructions that, when executed by a processing device, cause the processing device to:
receive a heart rate variability data; receive motion sensor data from a motion sensor; input the heart rate variability data and the motion sensor data into a machine learning algorithm trained to detect arrhythmias; detect, by the machine learning algorithm, the presence of an arrhythmia; and notify the user of the detected arrhythmia.
