I-Corps: Wearable Oculometric Analysis to Detect Seizures

这一I-Corps项目的更广泛/商业影响将是解决尚未满足的查明所有缉获类型并发出警报的需要。全世界有6000多万人患有癫痫，这是一种令人衰弱、不可预测的慢性疾病。 为了降低受伤或死亡的风险，神经科医生经常建议护理人员不断监测患者，导致共睡，工作和家庭时间表的重大变化，以及严重的独立性丧失。然而，即使在监测条件下，护理人员也无法识别超过50%的癫痫发作，导致治疗效果不佳。虽然有技术可以在临床环境中检测癫痫发作，但必要的设备目前不适合在日常生活中连续使用。 在非临床环境中检测和提醒患者和护理人员注意所有类型癫痫发作的技术的开发和验证将对及时治疗、改善患者预后和改善患者和护理人员的生活质量具有实质性益处。I-Corps项目进一步开发了一项核心技术，该技术使用眼动分析来提供可靠的、可重复的识别癫痫发作活动的方法。该团队正在开发可穿戴眼动追踪技术和软件，适用于在清醒和睡眠期间识别所有癫痫发作类型。这项工作将通过对眼球运动的严格数学分析，大大促进对癫痫发作的理解，而这在以前只是定性描述。核心技术分析眼球运动，称为眼动测量，以检测癫痫发作。 其目标是改变高危人群和护理人员识别和应对癫痫发作的方式，从而可能缩短治疗时间，降低死亡率，提高生活质量。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader/commercial impact of this I-Corps project will be to address an unmet need to identify and alarm for all seizure types. More than 60 million people worldwide suffer from epilepsy, a debilitating, unpredictable chronic condition. To reduce the risk of injury or death, neurologists frequently recommend caregivers constantly monitor patients, resulting in co-sleeping, significant changes in work and family schedules, and a substantial loss of independence. However, even under monitored conditions, caregivers fail to recognize more than 50% of seizures, resulting in sub-optimal treatment. Although technology is available to detect seizures in clinical settings, the necessary equipment is not currently suitable for continuous use in daily living. The development and validation of technology to detect and alert patients and caregivers to all types of seizures in a non-clinical setting would have substantial benefits for timely treatment, improve patient outcomes, and improve patient and caregiver quality of life.This I-Corps project further develops a core technology that uses analysis of eye movements to provide a reliable, reproducible means of identifying seizure activity. The team is developing wearable eye-tracking technology and software suitable for identifying all seizure types during wakefulness and sleep. This work will significantly advance understanding of seizures through rigorous mathematical analysis of eye movements which previously has been only qualitatively described. The core technology analyzes eye movements, known as oculometrics, to detect seizures. The goal is to transform how at-risk individuals and caregivers identify and respond to seizures, potentially reducing time to treatment, reducing mortality, and improving quality of life.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.