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癫痫个人辅助设备——一个用于大脑状态、密集行为与生理追踪以及控制适应性刺激的移动平台。

Epilepsy Personal Assistant Device-A Mobile Platform for Brain State, Dense Behavioral and Physiology Tracking and Controlling Adaptive Stimulation.

作者信息

Pal Attia Tal, Crepeau Daniel, Kremen Vaclav, Nasseri Mona, Guragain Hari, Steele Steven W, Sladky Vladimir, Nejedly Petr, Mivalt Filip, Herron Jeffrey A, Stead Matt, Denison Timothy, Worrell Gregory A, Brinkmann Benjamin H

机构信息

Bioelectronics Neurophysiology and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.

Cognitive Systems and Neurosciences, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Prague, Czechia.

出版信息

Front Neurol. 2021 Jul 29;12:704170. doi: 10.3389/fneur.2021.704170. eCollection 2021.

Abstract

Epilepsy is one of the most common neurological disorders, and it affects almost 1% of the population worldwide. Many people living with epilepsy continue to have seizures despite anti-epileptic medication therapy, surgical treatments, and neuromodulation therapy. The unpredictability of seizures is one of the most disabling aspects of epilepsy. Furthermore, epilepsy is associated with sleep, cognitive, and psychiatric comorbidities, which significantly impact the quality of life. Seizure predictions could potentially be used to adjust neuromodulation therapy to prevent the onset of a seizure and empower patients to avoid sensitive activities during high-risk periods. Long-term objective data is needed to provide a clearer view of brain electrical activity and an objective measure of the efficacy of therapeutic measures for optimal epilepsy care. While neuromodulation devices offer the potential for acquiring long-term data, available devices provide very little information regarding brain activity and therapy effectiveness. Also, seizure diaries kept by patients or caregivers are subjective and have been shown to be unreliable, in particular for patients with memory-impairing seizures. This paper describes the design, architecture, and development of the Mayo Epilepsy Personal Assistant Device (EPAD). The EPAD has bi-directional connectivity to the implanted investigational Medtronic Summit RC+S device to implement intracranial EEG and physiological monitoring, processing, and control of the overall system and wearable devices streaming physiological time-series signals. In order to mitigate risk and comply with regulatory requirements, we developed a Quality Management System (QMS) to define the development process of the EPAD system, including Risk Analysis, Verification, Validation, and protocol mitigations. Extensive verification and validation testing were performed on thirteen canines and benchtop systems. The system is now under a first-in-human trial as part of the US FDA Investigational Device Exemption given in 2018 to study modulated responsive and predictive stimulation using the Mayo EPAD system and investigational Medtronic Summit RC+S in ten patients with non-resectable dominant or bilateral mesial temporal lobe epilepsy. The EPAD system coupled with an implanted device capable of EEG telemetry represents a next-generation solution to optimizing neuromodulation therapy.

摘要

癫痫是最常见的神经系统疾病之一,全球约1%的人口受其影响。尽管接受了抗癫痫药物治疗、手术治疗和神经调节治疗,许多癫痫患者仍会发作。癫痫发作的不可预测性是其最致残的方面之一。此外,癫痫还与睡眠、认知和精神共病有关,这对生活质量有显著影响。癫痫发作预测可用于调整神经调节治疗以预防发作,并使患者能够在高风险期间避免从事敏感活动。需要长期客观数据来更清晰地了解脑电活动,并为优化癫痫治疗提供客观的治疗措施疗效评估。虽然神经调节设备有获取长期数据的潜力,但现有设备提供的关于脑活动和治疗效果的信息非常少。此外,患者或护理人员记录的癫痫发作日记具有主观性,并且已被证明不可靠,尤其是对于有记忆障碍性发作的患者。本文介绍了梅奥癫痫个人辅助设备(EPAD)的设计、架构和开发。EPAD与植入式研究型美敦力Summit RC+S设备具有双向连接,以实现颅内脑电图和生理监测、整个系统的处理和控制,以及可穿戴设备传输生理时间序列信号。为了降低风险并符合监管要求,我们开发了质量管理体系(QMS)来定义EPAD系统的开发过程,包括风险分析、验证、确认和方案缓解措施。在13只犬和台式系统上进行了广泛的验证和确认测试。该系统目前正在进行首次人体试验,这是美国食品药品监督管理局(FDA)于2018年授予的研究性器械豁免的一部分,用于研究使用梅奥EPAD系统和研究型美敦力Summit RC+S对10例不可切除的优势侧或双侧内侧颞叶癫痫患者进行调制响应和预测性刺激。EPAD系统与能够进行脑电图遥测的植入设备相结合,代表了优化神经调节治疗的下一代解决方案。

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