Key result
Study compares a PPG-only algorithm against combined ECG-PPG for predicting neurally mediated syncope.
Why the study?
Does a PPG-based algorithm alone perform comparably to a joint ECG and PPG algorithm for predicting neurally mediated syncope?
Does a PPG-based algorithm alone perform comparably to a joint ECG and PPG algorithm for predicting neurally mediated syncope?
This study evaluates a novel PPG-only algorithm for predicting neurally mediated syncope, which could enable integration into wearable devices like sports watches.
PPG-only syncope prediction may enable wearable monitoring; leaves open whether it matches ECG+PPG performance in prospective studies.
Syncope is a transient and self-limited loss of consciousness that affects mostly elderly people. Although it is not lethal it can lead to serious injuries and the appearance of severe medical complications. With a high socioeconomic and medical impact, it is highly pertinent to develop personalized health systems that are capable of predicting impending syncope events and avoid major complications. In the later years we have been assisting to a rising interest on wearable monitoring systems and in several devices (e.g. sports watches) the photoplethysmogram (PPG) is already being used due to the easy applicability, cost effectiveness and unobtrusiveness. Thus, the development of an algorithm for syncope prediction that can be integrated on such systems would be of huge interest. In this paper we evaluate an algorithm for syncope prediction based on the analysis of the PPG signal alone and we compare it to our former algorithm based on the joint analysis of the electrocardiogram (ECG) and PPG signals.
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Couceiro et al. (2016) studied Neurally mediated syncope. PPG-based algorithm for syncope prediction vs. Joint ECG and PPG algorithm was evaluated on Syncope prediction. An algorithm for predicting neurally mediated syncope based on the PPG signal alone was evaluated against a joint ECG and PPG algorithm, though no quantitative results were reported in the abstract.
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