Past, Present and Future of Home video‐electroencephalographic telemetry: A review of the development of in‐home video‐electroencephalographic recordings

脑电图 计算机科学 故障排除 遥测 医学 多媒体 医疗急救 心理学 电信 精神科 操作系统
作者
Franz Brunnhuber,Jeremy D. Slater,Sushma Goyal,Devyani Amin,Gardar Thorvardsson,Dean R. Freestone,Mark P. Richardson
出处
期刊:Epilepsia [Wiley]
卷期号:61 (S1) 被引量:31
标识
DOI:10.1111/epi.16578
摘要

Abstract 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.
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