An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
Abdul Aziz, Nhat Pham, Neel Vora, Cody Reynolds, Jaime Lehnen, Pooja, Venkatesh, Zhuoran Yao, Jay Harvey, Tam Vu, Kan Ding, and Phuc Nguyen

TL;DR
This paper introduces EarSD, a lightweight, unobtrusive ear-worn device that detects epileptic seizures by measuring physiological signals behind the ears, offering a comfortable alternative to traditional scalp EEG tests.
Contribution
The paper presents a novel ear-worn system with integrated sensing and wireless data streaming for continuous seizure detection, improving comfort and accessibility.
Findings
Effective noise removal from physiological signals
Successful in-lab and hospital testing with epileptic patients
Potential for real-time seizure monitoring in daily life
Abstract
Epilepsy is one of the most common neurological diseases globally (around 50 million people worldwide). Fortunately, up to 70% of people with epilepsy could live seizure-free if properly diagnosed and treated, and a reliable technique to monitor the onset of seizures could improve the quality of life of patients who are constantly facing the fear of random seizure attacks. The scalp-based EEG test, despite being the gold standard for diagnosing epilepsy, is costly, necessitates hospitalization, demands skilled professionals for operation, and is discomforting for users. In this paper, we propose EarSD, a novel lightweight, unobtrusive, and socially acceptable ear-worn system to detect epileptic seizure onsets by measuring the physiological signals from behind the user's ears. EarSD includes an integrated custom-built sensing-computing-communication PCB to collect and amplify the signals…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Epilepsy research and treatment · Neuroscience and Neural Engineering
MethodsPart-based Convolutional Baseline
