期刊
SENSORS
卷 17, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/s17102338
关键词
epilepsy; seizure detection; home monitoring; long-term monitoring; wearables; photoplethysmography; electrocardiography
资金
- VLAIO (Flanders Innovation and Entrepreneurship)
- Innoviris
- Agentschap Innoveren & Ondernemen (VLAIO): Project [STW 150466 OSA +, O&O HBC 2016 0184 eWatch]
- European Research Council under the European Union's Seventh Framework Programme (FP7)/ERC Advanced Grant: BIOTENSORS [339804]
Electrocardiography has added value to automatically detect seizures in temporal lobe epilepsy (TLE) patients. The wired hospital system is not suited for a long-term seizure detection system at home. To address this need, the performance of two wearable devices, based on electrocardiography (ECG) and photoplethysmography (PPG), are compared with hospital ECG using an existing seizure detection algorithm. This algorithm classifies the seizures on the basis of heart rate features, extracted from the heart rate increase. The algorithm was applied to recordings of 11 patients in a hospital setting with 701 h capturing 47 (fronto-)temporal lobe seizures. The sensitivities of the hospital system, the wearable ECG device and the wearable PPG device were respectively 57%, 70% and 32%, with corresponding false alarms per hour of 1.92, 2.11 and 1.80. Whereas seizure detection performance using the wrist-worn PPG device was considerably lower, the performance using the wearable ECG is proven to be similar to that of the hospital ECG.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据