Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
- Submitting institution
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London South Bank University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 276150
- Type
- D - Journal article
- DOI
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10.1109/JIOT.2017.2689164
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 1647
- Volume
- 4
- Issue
- 5
- ISSN
- 2327-4662
- Open access status
- Technical exception
- Month of publication
- March
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7888991
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
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A - The BioEngineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Battery life is a key feature using devices to remotely monitor building, geological sites, and patients, and its main source of depletion is the data transmission from the device to base station. We show for the first time how it is possible to adapt the transmission protocol and the transmitted data to match the specific characteristics of the signals and of the patient, personalizing its behaviour and opening the way to the study of ultra-low resources wearables.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -