Paper Info
Title
Ballistocardiography With Fiber Optic Sensor In Headrest Position: A Feasibility Study And A New Processing Algorithm
Abstract
Ballistocardiography (BCG) is a promising unobtrusive method for home e-healthcare systems, and has attracted increasing interest in recent years along with technological advances in related biomedical, electrical engineering and computer science fields. While existing systems have investigated the efficacy of BCG setups in bed, backrest, seat or scale positions, we propose to study BCG in headrest position that will allow new practical and portable applications. To this end, we designed and implemented a multi-modality sensing system including a high-sensitivity microbend fiber optic BCG sensor. In this preliminary study, we have collected multi-modality physiological data on 3 human subjects. We ran extensive analysis on BCG in correlation with ECG, and identified special characteristics of the signal in the new BCG setup. The result suggests that new appropriate computing techniques are necessary for accurately recovering the heart beat signal. Therefore, we developed a novel algorithm for heart beat detection. We evaluate the algorithm with the data and demonstrate that it can accurately compute heart rate intervals in the headrest BCG despite significant signal distortion.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610721
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
time frequency analysis,harmonic analysis,optical fibres
Computer vision,Optical fiber,Sensing system,Fiber optic sensor,Heart beat,Computer science,Algorithm,Electronic engineering,Artificial intelligence,Fibre optic sensors,Distortion,Ballistocardiography
Conference
Volume
ISSN
Citations 
2013
1557-170X
4
PageRank 
References 
Authors
0.65
2
6
Name
Order
Citations
PageRank
Yongwei Zhu171.10
Haihong Zhang2133.61
Jayachandran Maniyeri3112.18
Andrew Keong Ng4163.08
Jit Biswas534448.04
Zhihao Chen6182.68