Patterson Amy L, Mudigoudar Basanagoud, Fulton Stephen, McGregor Amy, Poppel Kate Van, Wheless Margaret C, Brooks Lai, Wheless James W
Division of Pediatric Neurology, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee; Comprehensive Epilepsy Program and Neuroscience Center, Le Bonheur Children's Hospital, Memphis, Tennessee.
Division of Pediatric Neurology, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee; Comprehensive Epilepsy Program and Neuroscience Center, Le Bonheur Children's Hospital, Memphis, Tennessee.
Pediatr Neurol. 2015 Oct;53(4):309-11. doi: 10.1016/j.pediatrneurol.2015.07.002. Epub 2015 Jul 15.
Patients with epilepsy and their caregivers are constantly burdened with the possibility of a seizure and its consequences, such as accidents, injuries, and sudden unexplained death in epilepsy. It is the unpredictable nature of seizures that often affects both patients with seizures and their caregivers, limits independence, and hinders quality of life. There are several types of motion detectors on the market, each with varying degrees of sensitivity.
We prospectively tested the SmartWatch, a wrist-worn monitor, on children, adolescents, and young adults with various types of seizures in an epilepsy monitoring unit. Confirmation of seizure type and if there was rhythmic upper extremity jerking associated with the seizure was determined by review of the video electroencephalograph. This was compared with the standard detection system of the watch.
This study analyzed a total of 191 seizures in 41 patients aged 5-41 years. Fifty-one of the seizures were generalized tonic-clonic. Forty-seven of the seizures had a rhythmic arm movement component. The SmartWatch detected 30 seizures (16%) of the total, 16 (31%) of the generalized tonic-clonic seizures, and 16 (34%) seizures associated with rhythmic arm movements.
Overall, only a minority of generalized tonic-clonic seizures or seizures with rhythmic movements were detected, highlighting the need for an effective seizure detection device.
癫痫患者及其护理人员一直承受着癫痫发作及其后果的负担，例如事故、受伤以及癫痫猝死。癫痫发作的不可预测性常常影响发作患者及其护理人员，限制独立性并阻碍生活质量。市场上有几种类型的运动探测器，每种的灵敏度各不相同。
我们在癫痫监测病房对智能手表（一种腕戴式监测器）进行了前瞻性测试，测试对象为患有各种类型癫痫发作的儿童、青少年和年轻人。通过回顾视频脑电图来确定癫痫发作类型以及发作时是否伴有节律性上肢抽搐。将此与手表的标准检测系统进行比较。
本研究共分析了41名年龄在5至41岁患者的191次癫痫发作。其中51次发作是全面性强直阵挛发作。47次发作伴有节律性手臂运动成分。智能手表共检测到30次发作（占总数的16%），其中16次全面性强直阵挛发作（占31%），16次伴有节律性手臂运动的发作（占34%）。
总体而言，仅检测到少数全面性强直阵挛发作或伴有节律性运动的发作，这凸显了对有效癫痫发作检测设备的需求。
