A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node
Joint Authors
Li, JianQing
Luo, Kan
Cai, Zhipeng
Du, Keqin
Zou, Fumin
Zhang, Xiangyu
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Energy efficiency is still the obstacle for long-term real-time wireless ECG monitoring.
In this paper, a digital compressed sensing- (CS-) based single-spot Bluetooth ECG node is proposed to deal with the challenge in wireless ECG application.
A periodic sleep/wake-up scheme and a CS-based compression algorithm are implemented in a node, which consists of ultra-low-power analog front-end, microcontroller, Bluetooth 4.0 communication module, and so forth.
The efficiency improvement and the node’s specifics are evidenced by the experiments using the ECG signals sampled by the proposed node under daily activities of lay, sit, stand, walk, and run.
Under using sparse binary matrix (SBM), block sparse Bayesian learning (BSBL) method, and discrete cosine transform (DCT) basis, all ECG signals were essentially undistorted recovered with root-mean-square differences (PRDs) which are less than 6%.
The proposed sleep/wake-up scheme and data compression can reduce the airtime over energy-hungry wireless links, the energy consumption of proposed node is 6.53 mJ, and the energy consumption of radio decreases 77.37%.
Moreover, the energy consumption increase caused by CS code execution is negligible, which is 1.3% of the total energy consumption.
American Psychological Association (APA)
Luo, Kan& Cai, Zhipeng& Du, Keqin& Zou, Fumin& Zhang, Xiangyu& Li, JianQing. 2018. A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187059
Modern Language Association (MLA)
Luo, Kan…[et al.]. A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node. Journal of Healthcare Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1187059
American Medical Association (AMA)
Luo, Kan& Cai, Zhipeng& Du, Keqin& Zou, Fumin& Zhang, Xiangyu& Li, JianQing. A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1187059
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187059