A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm
- Submitting institution
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Teesside University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4430710
- Type
- D - Journal article
- DOI
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10.1016/j.cmpb.2017.02.028
- Title of journal
- Computer Methods and Programs in Biomedicine
- Article number
- -
- First page
- 61
- Volume
- 144
- Issue
- -
- ISSN
- 0169-2607
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- 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
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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed algorithm was the outcome of the European Union funded cLINK project (2645). The proposed algorithm opens up the opportunity for deployment in embedded systems resulting in low battery consumption compared to most of the other methods while still producing real-time results.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -