一种用于连续癫痫发作检测的非干扰式轻量级耳戴系统
An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection
AI总结：
针对头皮EEG监测成本高、需住院且不舒适的问题，本文提出轻量级非干扰耳戴系统EarSD，通过耳后生理信号采集、降噪与无线传输实现连续癫痫发作检测，并在实验室和医院患者中开展实验验证。
摘要：
癫痫是全球最常见的神经系统疾病之一（全世界约有5000万人）。幸运的是，如果得到适当的诊断和治疗，多达70%的癫痫患者可以无发作地生活，而一种可靠的监测癫痫发作的技术可以提高那些始终面临随机发作恐惧的患者的生活质量。基于头皮的EEG检查尽管是诊断癫痫的金标准，但费用高昂、需要住院、要求熟练的专业人员进行操作，并且会让使用者感到不适。在本文中，我们提出了EarSD，这是一种新颖的轻量级、非干扰式且社会可接受的耳戴系统，通过测量使用者耳后的生理信号来检测癫痫发作。EarSD包括一个集成的定制感测-计算-通信PCB，用于采集和放大目标信号，去除由运动伪影和环境影响造成的噪声，并将数据无线传输到附近的计算机/移动电话，数据在那里被上传到主机进行进一步处理。我们对因癫痫发作研究而住院的癫痫发作患者进行了实验室内和医院内实验。
英文摘要：
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 of interest, remove the noises caused by motion artifacts and environmental impacts, and stream the data wirelessly to the computer/mobile phone nearby, where data are uploaded to the host computer for further processing. We conducted both in-lab and in-hospital experiments with epileptic seizure patients who were hospitalized for seizure studies.
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