A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors

• Published in: IEEE transactions on instrumentation and measurement Vol. 71; pp. 1 - 13
• Main Authors: Dong, Chunjiao, Ye, Tianchun, Long, Xi, Aarts, Ronald M., van Dijk, Johannes P., Shang, Chunheng, Liao, Xiwen, Chen, Wei, Lai, Wanlin, Chen, Lei, Wang, Yunfeng
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometer (ACM); Algorithms; Annotations; Brain modeling; Convulsions & seizures; Data collection; Data models; Datasets; epilepsy; gyroscope; Hospitals; Injury prevention; Jewelry; Labelling; Machine learning; Monitoring; Motion sensors; motor sensor; Night; Random forests; Segments; seizure detection; Seizures; Sensitivity; Sensors; signal processing; Support vector machines; wearable device; Wearable technology

Using monitoring devices could help avoid injuries and even death. Currently, wearable sensors such as motion sensors and other sensors are used to detect when the patient is having a seizure and alarm their caregivers. However, the development phase of these devices requires labor-intensive work on...