Wearable device including PPG and inertial sensors for assessing physical activity and biometric parameters

A method of assessing subject blood pressure via wearable device, the method comprising:

• collecting a plurality of photoplethysmography (PPG) waveforms from a PPG sensor in the wearable device;
• collecting inertial data associated with subject motion from an inertial sensor in the wearable device;
• process the inertial data in an assessment processor operatively connected to the PPG sensor and the inertial sensor to determine a data integrity of the plurality of PPG waveforms;
• and
• responsive to the determined data integrity, conditionally processing the plurality of PPG waveforms in the assessment processor using a neural network comprising thousands of coefficients to generate an assessment of the subject blood pressure, the condition comprising the determined data integrity assuring the integrity of the plurality of PPG waveforms.

A wearable device configured to assess subject blood pressure, the wearable device comprising:

• a photoplethysmography (PPG) sensor;
• an inertial sensor configured to sense subject motion;
• an assessment processor operatively connected to the PPG sensor and the inertial sensor, the assessment processor being configured to:
• process inertial signals output by the inertial sensor to determine a data integrity of a plurality of PPG waveforms output by the PPG sensor;
• responsive to the determined data integrity, process the plurality of PPG waveforms using a neural network comprising thousands of coefficients to generate an assessment of the subject blood pressure;
• and
• recalibrate the neural network for a specific subject.

A method of assessing subject blood pressure via wearable device, the method comprising:

• collecting a plurality of photoplethysmography (PPG) waveforms from a PPG sensor in the wearable device;
• collecting inertial data associated with subject motion from an inertial sensor in the wearable device;
• process the inertial data in an assessment processor operatively connected to the PPG sensor and the inertial sensor to determine a data integrity of the plurality of PPG waveforms;
• responsive to the determined data integrity, processing the plurality of PPG waveforms in the assessment processor using a neural network comprising thousands of coefficients to generate an assessment of the subject blood pressure;
• and
• recalibrating the neural network for a specific subject.