I-Corps: Wearable Oculometric Analysis to Detect Seizures

I-Corps：可穿戴式眼科分析来检测癫痫发作

• 批准号: 1921804
• 负责人: Rhonda Shrader
• 金额: $ 5万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-03-15 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921804&HistoricalAwards=false
• 关键词: Corps; Wearable; Oculometric; Analysis; Detect

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.

该I-Corps项目的更广泛/商业影响是解决所有癫痫发作类型的未满足需求。全世界有超过6000万人患有癫痫病，这是一种令人衰弱的，无法预测的慢性病。 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控患者，从而导致共同呼吸，工作和家庭时间表的重大变化以及独立丧失。但是，即使在受监测的条件下，护理人员也无法识别超过50％的癫痫发作，从而导致了次优治疗。尽管技术可用于检测临床环境中的癫痫发作，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对所有类型的癫痫发作的技术的开发和验证将对及时治疗，改善患者和护理人员的生活质量有很大的益处。这项I-Corps项目进一步开发了一种核心技术，可以开发出眼睛运动的分析，以提供可靠的可重复性的识别疗程。该团队正在开发可穿戴的眼睛跟踪技术和软件，适合在清醒和睡眠期间识别所有癫痫发作类型。这项工作将通过严格的数学分析对眼睛运动进行严格的数学分析，从而大大提高对癫痫发作的理解，而眼睛运动仅在定性上被定性地描述。核心技术分析了被称为眼测力的眼动运动以检测癫痫发作。 目的是改变处于危险的个人和照顾者如何认同和应对癫痫发作，潜在地减少治疗时间，减少死亡率和改善生活质量。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来通过评估来支持的。