A multimodal seizure detection artificial intelligence-based smart wear

癫痫是一种慢性神经系统疾病，每100个加拿大人中就有1人受其影响。随着人口的老龄化，老年人癫痫的患病率和发病率高于任何其他年龄组，因为脑损伤的数量不断增加。一线治疗包括长期药物治疗，但据说超过三分之一的患者具有耐药性，并继续遭受致残癫痫发作的折磨。由于其不可预测的性质，不受控制的癫痫发作是一个主要的个人障碍和患者担忧的来源（受伤和死亡的风险）。此外，由于大量使用医疗资源、大量残疾天数或失业以及年收入低，持续性癫痫发作构成了相当大的公共卫生负担。对于这些患者，准确和快速的检测癫痫发作可以显著改善他们的护理。事实上，一个能够检测癫痫发作的系统可以提醒家庭成员、看护人员或医务人员及时干预，以限制受伤和死亡的风险。因此，本项目的主要目标是基于通过智能可穿戴设备获得的非侵入性多模态生理信号，开发一种用户友好的基于人工智能的癫痫检测系统。将考虑到社会、伦理、环境、经济和法律影响，以确保向癫痫患者顺利和快速地翻译。对于患者（减少焦虑和增强自信）、护理人员（评估和监督）和医疗保健系统（降低相关成本）而言，潜在的应用有很多。

Epilepsy is a chronic neurological condition that affects as many as 1 in every 100 Canadians. With the ageing of the population, the prevalence and incidence of epilepsy among the elderly is greater than any other age group due to the increasing number brain insults. The first line of treatment consists of long-term drug therapy but more than a third of patients are said to be drug-resistant and continue to suffer from disabling seizures. Due to their unpredictable nature, uncontrolled seizures represent a major personal handicap and source of worriment for patients (risks of injury and death). In addition, persistent seizures constitute a considerable public health burden due to high use of health care resources, high number ofdisability days or unemployment, and low annual income. For these patients, accurate and rapid detection of seizures could significantly improve their care. Indeed, a system capable of detecting seizures could alert family members, caretakers or medical personnel to intervene in a timely fashion to limit the risk of injuries and death. Hence, the main objective of thisproject is to develop a user-friendly artificial intelligence-based seizure detection system based on non-invasive multimodal physiological signals obtained through smart wearable devices. Social, ethical, environmental, economic, and legal implications will be taken into account to ensure a smooth and rapid translation to patients with epilepsy. Potential applications are numerous for the benefit of patients (reducing anxiety and enhancing selfconfidence), caretakers (evaluation and surveillance), and the healthcare system (reducing associated costs).