A statistical index for early diagnosis of ventricular arrhythmia from the trend analysis of ECG phase-portraits
- Submitting institution
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University of Southampton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 52319190
- Type
- D - Journal article
- DOI
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10.1088/0967-3334/36/1/107
- Title of journal
- Physiological Measurement
- Article number
- -
- First page
- 107
- Volume
- 36
- Issue
- 1
- ISSN
- 0967-3334
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- 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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6
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The signal processing method proposed in this work led to a collaboration with Policlinico Umberto I, Italy (Prof. Puddu: paoloemilio.puddu@uniroma1.it), IIT Hyderabad, India (Dr. Amit acharyya: amit_acharyya@iith.ac.in) and the Cardiology department of Southampton General Hospital (Prof. Morgan: jmm@hrclinic.org) to develop a technology for predicting fatal arrhythmia. It has led to several publications in clinical journals and resulted in Young Investigator award for Dr. Benedict Wiles (Benedict.Wiles@uhs.nhs.uk) at the Europace conference in 2018 and an invited talk ina Workshop on Nano-materials and Devices for Biomedical Applications, Calcutta, India 2016 (Prof. Chattopadhyay: c_sanatan@yahoo.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
