Silverio Angelito A, Silverio Lean Angelo A
Department of Electronics Engineering, University of Santo Tomas, Manila, Philippines.
Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
Front Aging. 2022 Apr 26;3:848219. doi: 10.3389/fragi.2022.848219. eCollection 2022.
This work provides an overview of the present state-of-the-art in the development of deep brain Deep Brain Stimulation (DBS) and how such devices alleviate motor and cognitive disorders for a successful aging. This work reviews chronic diseases that are addressable via DBS, reporting also the treatment efficacies. The underlying mechanism for DBS is also reported. A discussion on hardware developments focusing on DBS control paradigms is included specifically the open- and closed-loop "smart" control implementations. Furthermore, developments towards a "smart" DBS, while considering the design challenges, current state of the art, and constraints, are also presented. This work also showcased different methods, using ambient energy scavenging, that offer alternative solutions to prolong the battery life of the DBS device. These are geared towards a low maintenance, semi-autonomous, and less disruptive device to be used by the elderly patient suffering from motor and cognitive disorders.
这项工作概述了深部脑刺激（DBS）技术发展的当前最新水平，以及此类设备如何缓解运动和认知障碍以实现成功老龄化。这项工作回顾了可通过DBS治疗的慢性疾病，并报告了治疗效果。还报告了DBS的潜在机制。特别包括了针对DBS控制范式的硬件开发讨论，尤其是开环和闭环“智能”控制实现。此外，还介绍了在考虑设计挑战、当前技术水平和限制因素的情况下，向“智能”DBS发展的情况。这项工作还展示了利用环境能量收集的不同方法，这些方法为延长DBS设备的电池寿命提供了替代解决方案。这些方法旨在为患有运动和认知障碍的老年患者提供低维护、半自主且干扰性较小的设备。
