Video‐electroencephalographic (EEG) monitoring is an essential tool in epileptology, conventionally carried out in a hospital epilepsy monitoring unit. Due to high costs and long waiting times for hospital admission, coupled with technological advances, several centers have developed and implemented video‐EEG monitoring in the patient's home (home video‐EEG telemetry [HVET]). Here, we review the history and current status of three general approaches to HVET: (1) supervised HVET, which entails setting up video‐EEG in the patient's home with daily visiting technologist support; (2) mobile HVET (also termed ambulatory video‐EEG), which entails attaching electrodes in a health care facility, supplying the patient and carers with the hardware and instructions, and then asking the patient and carer to set up recording at home without technologist support; and (3) cloud‐based HVET, which adds to either of the previous models continuous streaming of video‐EEG from the home to the health care provider, with the option to review data in near real time, troubleshoot hardware remotely, and interact remotely with the patient. Our experience shows that HVET can be highly cost‐effective and is well received by patients. We note limitations related to long‐term electrode attachment and correct camera placing while the patient is unsupervised at home, and concerns related to regulations regarding data privacy for cloud services. We believe that HVET opens significant new opportunities for research, especially in the field of understanding the many influences in seizure occurrence. We speculate that in the future HVET may merge into innovative new multisensor approaches to continuously monitoring people with epilepsy.

中文翻译：

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家庭视频脑电遥测的过去、现在和未来：家庭视频脑电记录发展回顾

视频脑电图 (EEG) 监测是癫痫学中必不可少的工具，通常在医院癫痫监测单位进行。由于住院费用高昂、等待时间长，再加上技术进步，一些中心已经开发并实施了患者家中的视频脑电图监测（家庭视频脑电图遥测 [HVET]）。在这里，我们回顾了 HVET 的三种一般方法的历史和现状：(1) 有监督的 HVET，这需要在患者家中设置视频脑电图，并提供日常访问技术专家的支持；(2) 移动 HVET（也称为动态视频脑电图），它需要在医疗机构中连接电极，为患者和护理人员提供硬件和说明，然后要求患者和护理人员在没有技术人员支持的情况下在家中设置录音；(3) 基于云的 HVET，它增加了从家庭到医疗保健提供者的视频脑电图连续流的先前模型，可选择近乎实时地查看数据、远程排除硬件故障和远程交互与患者。我们的经验表明，HVET 具有很高的成本效益，并且深受患者欢迎。我们注意到与长期电极连接和正确放置相机相关的限制，而患者在家中无人看管，以及与云服务数据隐私法规相关的担忧。我们相信 HVET 为研究开辟了重要的新机会，特别是在了解癫痫发作的许多影响方面。