Publication Date
Spring 2014
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical Engineering
Advisor
Shahab Ardalan
Keywords
Body Sensors, Health, Health Technology, Heart Rate Signals, Photoplethysmography, Wearable
Subject Areas
Engineering
Abstract
This work focused on the effects of suppressing the motion artifact of wrist photoplethysmographic heart rate signals. Monitoring of the heart can offer important insight with regard to health and wellness. The objective of the experiment conducted here was to recover the distorted signal resulting from body movement while measuring the heart rate signal non-invasively from the wrist.
The class of filters, known as adaptive filters, that can extract meaningful information from the distorted signal, used predetermined initial conditions to equalize the signal distortion due to motion. These filters do not require prior knowledge about the system.
Adaptive filters of LMS-type and RLS-type were used in this study to recover the distorted heart rate signal. This study also presented a comparison on short-range wireless technologies, such as Bluetooth and ANT+, that can be used for data transmission of the heart rate signal.
Recommended Citation
Jaafari, Samira, "Adaptive Filtering for Heart Rate Signals" (2014). Master's Theses. 4420.
DOI: https://doi.org/10.31979/etd.ars5-z3ut
https://scholarworks.sjsu.edu/etd_theses/4420
