On-Body Signal Processing is a computational methodology within wearable biosensing systems that performs real-time conditioning, filtering, and interpretation of physiological signals directly on the wearable device or at the body interface, thereby distinguishing itself from off-body or cloud-based processing through localized, low-latency, and resource-efficient operation.
54
Publications
4.6K
Citations
277
Authors
89
Institutions
Publications per year
2017–2026
19
Parents
Publications
54
Enabling Practical Backscatter Communication for On-body Sensors
Pengyu Zhang, Mohammad Rostami, Pan Hu et al. · 2016 · 336 citations · Full text
Engineering, Biomedical Engineering, Electrical Engineering +17
1–5 of 54
Authors
277
- GT
7
h-index
- DR
3
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- MB
3
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- TS
2
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- PLPaul Lukowicz
German Research Centre for Artificial Intelligence, Germany
2 publications · 122 citations
2
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1–5 of 277
Institutions
89
ETH Zurich
Zurich, Switzerland
6 h-index
22 publications
3.3K citations
Philips (Netherlands)
Amsterdam, The Netherlands
3 h-index
10 publications
204 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
16 publications
1.9K citations
Ghent University
Ghent, Belgium
2 h-index
14 publications
350 citations
Universidade do Porto
Porto, Portugal
2 h-index
10 publications
258 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
739 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
7 publications
590 citations
Massachusetts General Hospital
Boston, United States
1 h-index
3 publications
42 citations
1–8 of 89
Venues
- Sensors
3 publications · 96 citations
3
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- Pervasive and Mobile Computing
2 publications · 149 citations
2
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- IEEE Transactions on Information Technology in Biomedicine
1 publications · 697 citations
1
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- Applied Sciences
1 publications · 101 citations
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- Methods of Information in Medicine
1 publications · 32 citations
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