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Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 2377-2380, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29060376

ABSTRACT

This paper presents a wireless, low power and low cost two part wearable for real-time epileptic seizure detection. Using parameters of Electro-cardiograph (ECG), Electro-dermal Activity (EDA), body motion and breathing rate (BR), a novel multi-criteria-decision-system (MCDS) is proposed that reduces false alarms and true negatives. The combination of a chest and hand worn wearable continuously senses these parameters transmitting the data to a smart phone application via BLE 4.0 where long-short-term-memory (LSTM) based anomaly detection algorithms and logistic classifiers decide on the occurrence of the seizure in real time. A 96% precision and 90% recall is achieved through testing on synthetic data.


Subject(s)
Wearable Electronic Devices , Algorithms , Humans , Monitoring, Physiologic , Seizures , Smartphone
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