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A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node
- Source :
- Journal of Healthcare Engineering, Vol 2018 (2018), Journal of Healthcare Engineering
- Publication Year :
- 2018
- Publisher :
- Hindawi Limited, 2018.
-
Abstract
- 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.
- Subjects :
- lcsh:Medical technology
Article Subject
Computer science
0206 medical engineering
Real-time computing
Biomedical Engineering
Health Informatics
02 engineering and technology
law.invention
Bluetooth
law
0202 electrical engineering, electronic engineering, information engineering
Discrete cosine transform
Wireless
Humans
lcsh:R5-920
business.industry
Node (networking)
020206 networking & telecommunications
Signal Processing, Computer-Assisted
Energy consumption
Equipment Design
020601 biomedical engineering
Compressed sensing
lcsh:R855-855.5
Electrocardiography, Ambulatory
Surgery
business
lcsh:Medicine (General)
Wireless Technology
Algorithms
Biotechnology
Efficient energy use
Data compression
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 20402309 and 20402295
- Volume :
- 2018
- Database :
- OpenAIRE
- Journal :
- Journal of Healthcare Engineering
- Accession number :
- edsair.doi.dedup.....8ea6684dfd8008b8d8bf95dc3df2fbb9