Cardiovascular waveforms - can we extract more from routine signals?

Author:

Nandi Manasi1ORCID,Anton Mary2,Lyle Jane V.3

Affiliation:

1. Reader in integrative pharmacology, School of Cancer and Pharmaceutical Science, Faculty of Life Sciences and Medicine, King's College London, London, UK

2. NIHR pre-doctoral nursing fellow, Royal Brompton Hospital (paediatric intensive care), London, UK

3. Department of Mathematics, University of Surrey, Guildford, UK

Abstract

Cardiovascular waveforms such as blood pressure, ECG and photoplethysmography (PPG), are routinely acquired by specialised monitoring devices. Such devices include bedside monitors, wearables and radiotelemetry which sample at very high fidelity, yet most of this numerical data is disregarded and focus tends to reside on single point averages such as the maxima, minima, amplitude, rate and intervals. Whilst, these measures are undoubtedly of value, we may be missing important information by simplifying the complex waveform signal in this way. This Special Collection showcases recent advances in the appraisal of routine signals. Ultimately, such approaches and technologies may assist in improving the accuracy and sensitivity of detecting physiological change. This, in turn, may assist with identifying efficacy or safety signals for investigational new drugs or aidpatient diagnosis and management, supporting scientific and clinical decision making.

Funder

HEE/NIHR ICA Programme Pre-doctoral Clinical Academic Fellowship

Publisher

SAGE Publications

Subject

General Medicine

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