Journal article

Machine learning and wearable devices of the future

Sandor Beniczky, Philippa Karoly, Ewan Nurse, Philippe Ryvlin, Mark Cook

Epilepsia | WILEY | Published : 2020

Abstract

Machine learning (ML) is increasingly recognized as a useful tool in healthcare applications, including epilepsy. One of the most important applications of ML in epilepsy is seizure detection and prediction, using wearable devices (WDs). However, not all currently available algorithms implemented in WDs are using ML. In this review, we summarize the state of the art of using WDs and ML in epilepsy, and we outline future development in these domains. There is published evidence for reliable detection of epileptic seizures using implanted electroencephalography (EEG) electrodes and wearable, non-EEG devices. Application of ML using the data recorded with WDs from a large number of patients cou..

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