朱昊月, 付玉姣, 肖波. 痫性发作监测技术新进展[J]. 协和医学杂志, 2020, 11(3): 301-304. DOI: 10.3969/j.issn.1674-9081.20190068
引用本文: 朱昊月, 付玉姣, 肖波. 痫性发作监测技术新进展[J]. 协和医学杂志, 2020, 11(3): 301-304. DOI: 10.3969/j.issn.1674-9081.20190068
Hao-yue ZHU, Yu-jiao FU, Bo XIAO. Development in the Seizure-detection Technique[J]. Medical Journal of Peking Union Medical College Hospital, 2020, 11(3): 301-304. DOI: 10.3969/j.issn.1674-9081.20190068
Citation: Hao-yue ZHU, Yu-jiao FU, Bo XIAO. Development in the Seizure-detection Technique[J]. Medical Journal of Peking Union Medical College Hospital, 2020, 11(3): 301-304. DOI: 10.3969/j.issn.1674-9081.20190068

痫性发作监测技术新进展

Development in the Seizure-detection Technique

  • 摘要: 准确监测痫性发作对于有效评估癫痫患者口服抗癫痫药的临床疗效,以及获取可靠的临床研究数据具有重要意义。然而,临床工作中患者本人记录的痫性发作频率远低于脑电图监测的频率,因此研发准确便携的长程脑电图监测新技术尤为迫切。本文对痫性发作监测技术的最新进展作一综述。

     

    Abstract: Documenting the seizure attack accurately is curial for evaluating the medical treatment for epileptic patients and acquiring reliable data from clinical trials. However, nearly half of all seizures captured during the long-term video-electroencephalography monitoring were not reported by patients. Therefore, innovative and feasible tools for automatic seizure detection are in great demand. This article reviewed the most recent advances in the technique of seizure detection.

     

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