Orguc S, Sands J, Sahasrabudhe A, Anikeeva P, Chandrakasan A P
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4322-4325. doi: 10.1109/EMBC44109.2020.9175600.
This work presents a modular, light-weight head-borne neuromodulation platform that achieves low-power wireless neuromodulation and allows real-time programmability of the stimulation parameters such as the frequency, duty cycle, and intensity. This platform is comprised of two parts: the main device and the optional intensity module. The main device is functional independently, however, the intensity control module can be introduced on demand. The stimulation is achieved through the use of energy-efficient µLEDs directly integrated in the custom-drawn fiber-based probes. Our platform can control up to 4 devices simultaneously and each device can control multiple LEDs in a given subject. Our hardware uses off-the-shelf components and has a plug and play structure, which allows for fast turn-over time and eliminates the need for complex surgeries. The rechargeable, battery-powered wireless platform uses Bluetooth Low Energy (BLE) and is capable of providing stable power and communication regardless of orientation. This presents a potential advantage over the battery-free, fully implantable systems that rely on wireless power transfer, which is typically direction-dependent, requires sophisticated implantation surgeries, and demands complex custom-built experimental apparatuses. Although the battery life is limited to several hours, this is sufficient to complete the majority of behavioral neuroscience experiments. Our platform consumes an average power of 0.5 mW, has a battery life of 12 hours.
这项工作展示了一个模块化、轻量级的头戴式神经调节平台,该平台实现了低功耗无线神经调节,并允许对刺激参数(如频率、占空比和强度)进行实时编程。该平台由两部分组成:主设备和可选的强度模块。主设备功能独立,不过,强度控制模块可按需引入。刺激是通过使用直接集成在定制绘制的基于光纤的探针中的节能微发光二极管(µLED)来实现的。我们的平台可同时控制多达4个设备,并且每个设备可在给定对象中控制多个LED。我们的硬件使用现成的组件,具有即插即用结构,这使得周转时间快,且无需复杂的手术。这个可充电、电池供电的无线平台使用蓝牙低功耗(BLE),无论方向如何都能够提供稳定的电力和通信。这相对于依赖无线电力传输的无电池、完全可植入系统具有潜在优势,无线电力传输通常依赖方向,需要复杂的植入手术,并且需要复杂定制的实验设备。尽管电池续航时间限制在几个小时,但这足以完成大多数行为神经科学实验。我们的平台平均功耗为0.5毫瓦,电池续航时间为12小时。