Pressure-Based Motion Artifact Reduction by Least Mean Squares Adaptive Filtering

Jonathan H.D. Wu; Daniel Franklin

doi:10.1364/CLEO_AT.2023.JTu2A.3

CLEO 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper JTu2A.3
•https://doi.org/10.1364/CLEO_AT.2023.JTu2A.3

Pressure-Based Motion Artifact Reduction by Least Mean Squares Adaptive Filtering

Jonathan H.D. Wu and Daniel Franklin

CLEO: Applications and Technology 2023

San Jose, CA United States
7–12 May 2023
ISBN: 978-1-957171-25-8

From the session
Joint Poster Session I (JTu2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
J. H. D. Wu and D. Franklin, "Pressure-Based Motion Artifact Reduction by Least Mean Squares Adaptive Filtering," in CLEO 2023, Technical Digest Series (Optica Publishing Group, 2023), paper JTu2A.3.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We present a pressure sensor for motion detection in photoplethysmography and implement an adaptive filter using pressure data as a reference to significantly improve the accuracy of heart rate estimation by peak finding.

PDF Article

More Like This

Bio-Medical Monitoring System Using Photoplethysmography with Li-Fi Interface

Aditya Arora, Shivam Saini, Jolly Parikh, and Yugnanda Puri
JTu1B.16 Frontiers in Optics (FiO) 2020

Rayleigh-Based Distributed Optical Fiber Sensing Using Least Mean Square Similarity

Li Zhang, Zhisheng Yang, Flavien Gyger, Marcelo A. Soto, and Luc Thévenaz
ThE29 Optical Fiber Sensors (OFS) 2018

Speckle and Shadow Artifacts Reduction in Scattering-Based Light Sheet Microscopy

J. Zhao, B. Liang, E. Dobo, M. J. Khan, E. Yang, and D. Kang
DTu2A.3 Bio-Optics: Design and Application (BODA) 2023

Previous Article Next Article