NDLI: Human respiratory feature extraction on an UWB radar signal processing platform

Content Provider	IEEE Xplore Digital Library
Author	Chi-Hsuan Hsieh Yi-Hsiang Shen Yu-Fang Chiu Ta-Shun Chu Yuan-Hao Huang
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chi-Hsuan Hsieh; Yi-Hsiang Shen; Yu-Fang Chiu; Ta-Shun Chu; Yuan-Hao Huang)
Abstract	This paper presents a human respiratory feature extraction algorithm and its implementation on an ultra-wideband (UWB) impulse-radio radar signal processing platform. The conventional human detection algorithms only extract the respiration rate by the radar system. However, there is more information that is never explored in the radar-detected respiratory signals. Thus, this study proposes a modified raised cosine waveform as the respiration model and an iterative feature extraction algorithm to acquire more respiratory features, such as inspiration and expiration speeds, respiration intensity, and respiration holding ratio. These extracted features can be regarded as the compressed signals for the long-term remote medical monitoring system. The proposed respiratory feature extraction algorithm is designed and implemented on a radar signal processing platform with an Radar front-end chip, an ARM processor, and an FPGA chip. The proposed circuit can detect human respiratory signals from 0.1 to 1 Hz rate and analyze the respiratory features for each period of the respiratory signal.
Starting Page	1079
Ending Page	1082
File Size	755934
Page Count	4
File Format	PDF
ISBN	9781467357609
ISSN	02714302
e-ISBN	9781467357623
DOI	10.1109/ISCAS.2013.6572037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A UWB Radar Signal Processing Platform for Real-Time Human Respiratory Feature Extraction Based on Four-Segment Linear Waveform Model

Landmine feature extraction in UWB SAR based on sparse representation

Simulation and signal processing of UWB radar for human detection in complex environment

Radar clutter recognition based on feature extraction by /spl alpha/ truncation-set

Entropy feature extraction approach for radar emitter signals

Scattering center feature extraction in UWB SAR using Space-Wavenumber Distribution method

Fractal feature extraction of radar emitter signals

Enhanced feature detection and tracking algorithm for UWB-OFDM SAR navigation

Signal Processing for Improved Detection of Trapped Victims Using UWB Radar

Human respiratory feature extraction on an UWB radar signal processing platform

Similar Documents

A UWB Radar Signal Processing Platform for Real-Time Human Respiratory Feature Extraction Based on Four-Segment Linear Waveform Model

Landmine feature extraction in UWB SAR based on sparse representation

Simulation and signal processing of UWB radar for human detection in complex environment

Radar clutter recognition based on feature extraction by /spl alpha/ truncation-set

Entropy feature extraction approach for radar emitter signals

Scattering center feature extraction in UWB SAR using Space-Wavenumber Distribution method

Fractal feature extraction of radar emitter signals

Enhanced feature detection and tracking algorithm for UWB-OFDM SAR navigation

Signal Processing for Improved Detection of Trapped Victims Using UWB Radar

Human respiratory feature extraction on an UWB radar signal processing platform