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US 2022/0022765 A1Published application
Heart Condition Treatment and Analysis
AssigneeUniversity of Connecticut
InventorsKi H. Chon, Dong Han, Syed Khairul Bashar, Fahimeh Mohagheghian
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Abstract
The present disclosure relates to techniques for the estimating anomalies within photoplethysmographic signals. The techniques may include use of instruments that include photoplethysmographic and acceleration sensors. Time-frequency spectra may be used to determine the anomalies. Corrupted signals may be detected and corrected through applications of machine learning and feature extraction.
Claims45
A method comprising:
- receiving, based on a photoplethysmographic sensor, a photoplethysmographic signal;
- and
- determining an anomaly based on the photoplethysmographic signal relative to a normal sinus rhythm according to a time-frequency representation of the photoplethysmographic signal having a first frequency component, the first frequency component having energies within a first range of frequencies.
An apparatus comprising:
- a photoplethysmographic sensor;
- an accelerometer;
- and
- a processor, in communication with the photoplethysmographic sensor and the accelerometer, configured to:
- receive, from the photoplethysmographic sensor, a photoplethysmographic signal,
- receive, from the accelerometer, an acceleration signal, and
- determine, based on the photoplethysmographic signal and the acceleration signal, an anomaly in the photoplethysmographic signal relative to a normal sinus rhythm.
4 more elements
Dependencies are inferred from the claim text.