Multiple Source-Detector Pair Photoplethysmography (PPG) Sensor

A method for generating a heart rate estimation for a user device, the method comprising:

• obtaining multiple photoplethysmography (PPG) signals based on light received by at least one light detector of the user device from multiple light sources during different temporal windows during which other light sources of the multiple light sources are not emitting light, wherein the multiple PPG signals each represent a different channel of light received by the at least one light detector from the multiple light sources;
• processing the multiple PPG signals to produce an output corresponding to a heart rate probability distribution for the multiple PPG signals;
• determining the heart rate estimation in beats-per-minute using the output corresponding to the heart rate probability distribution for the multiple PPG signals;
• and
• causing the heart rate estimation to be displayed via a user interface on the user device.

A wearable device for tracking a heart rate estimation of a user, comprising:

• a plurality of light sources;
• a light detector;
• a memory;
• and
• one or more processors, wherein the memory stores computer-executable instructions for causing the one or more processors to:
• obtain multiple photoplethysmography (PPG) signals based on light received by the light detector from the multiple light sources during different temporal windows during which other light sources of the multiple light sources are not emitting light;
• process, via a trained machine learning model of the one or more processors, the multiple PPG signals to produce an output corresponding to a heart rate probability distribution for the multiple PPG signals;
• determine the heart rate estimation in beats-per-minute using the multiple PPG signals and the output corresponding to the heart rate probability distribution for the multiple PPG signals;
• and
• cause the heart rate estimation to be displayed via a user interface on the wearable device.