April 12, 2018

Study: Automated Video-Based Detection of Nocturnal Convulsive Seizures in a Residential Care Setting

Abstract: People with epilepsy need assistance and are at risk of sudden death when having convulsive seizures (CS). Automated real-time seizure detection systems can help alert caregivers, but wearable sensors are not always tolerated.

We determined algorithm settings and investigated detection performance of a video algorithm to detect CS in a residential care setting. Our algorithm could improve safety unobtrusively by automated real-time detection of CS in video registrations, with an acceptable latency and FDR. The algorithm can also detect some other motor seizures requiring assistance.

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