Brain Neurology and Engineering Lab, Department of Neurology, Mayo Foundation, Rochester MN 55905, United States.
Kern Center for Healthcare Delivery, Mayo Foundation, Rochester MN 55905, United States.
Epilepsy Behav. 2024 Aug;157:109820. doi: 10.1016/j.yebeh.2024.109820. Epub 2024 May 31.
Efficient, non-invasive monitoring may provide a more accurate and comprehensive understanding of seizure frequency and the development of some comorbidities in people with epilepsy. Novel keyboard technology measuring digital keypress statistics has demonstrated its practical value for neurodegenerative diseases including Parkinson's Disease and Dementia. Smartphones integrated into daily life may serve as a low-burden longitudinal monitoring system for patients with epilepsy.
This study aimed to assess the feasibility of keyboard statistics as an objective measure of seizure frequency for patients with epilepsy, in addition to tracking differences between cognitively normal and cognitively impaired patients.
Six adult patients admitted to the Epilepsy Monitoring Unit (EMU) at Mayo Clinic in Rochester, Minnesota were studied. The keyboard was installed on the patient's smartphone. In the EMU, typing statistics were correlated to electroencephalogram (EEG) confirmed seizures. After discharge, participants continued using their keyboards and kept a seizure log. We also analyzed the key press/release times and usage of participants' keyboards for adherence.
Keyboard sessions during and after seizures assessed for key press/release differences versus baseline showed no statistically significant difference (p = 0.44). Using one-way ANOVA, cognitive impairment's potential impact on keyboard statistics was explored in patients who had neuropsychological testing (N = 3). Significant differences were found between patients with and without cognitive impairment (p < 0.001). No significant difference was noted between patients with mild intellectual disability and normal cognitive function (p = 0.55).
高效、无创的监测方法可能为癫痫患者提供更准确、全面的发作频率以及某些合并症的信息。用于测量数字按键统计的新型键盘技术已经在包括帕金森病和痴呆症在内的神经退行性疾病中显示出其实用价值。集成到日常生活中的智能手机可以作为癫痫患者的一种低负担纵向监测系统。
本研究旨在评估键盘统计作为癫痫患者发作频率客观测量指标的可行性,同时还可跟踪认知正常和认知受损患者之间的差异。
明尼苏达州罗切斯特市梅奥诊所癫痫监测单元(EMU)收治的 6 名成年患者参与了本研究。在患者的智能手机上安装键盘。在 EMU 中,将键盘统计数据与脑电图(EEG)确认的癫痫发作进行相关性分析。出院后,参与者继续使用他们的键盘并记录癫痫发作。我们还分析了参与者键盘的按键按下/释放时间和使用情况,以评估其依从性。
对发作期间和发作后与基线相比的按键按下/释放差异进行评估,键盘记录未显示出统计学上的显著差异(p = 0.44)。使用单向方差分析(one-way ANOVA),对接受神经心理学测试的患者(N = 3)进行了认知障碍对键盘统计数据的潜在影响的探索。发现认知受损患者与无认知障碍患者之间存在显著差异(p < 0.001)。轻度智力障碍患者与认知功能正常患者之间无显著差异(p = 0.55)。