Design considerations and clinical applications of closed-loop neural disorder control SoCs

Multi-Disease Deep Brain Stimulation

“…Several closed-loop DBS devices use a simple on-off control algorithm [12,48,[50][51][52][53][54], and are not able to automatically and adaptively adjust the stimulation parameters. Other devices use traditional control approaches such as proportional-integral (PI) control [8,55], proportionalintegral-derivative (PID) control [56,57], autoregressive model [58], and iterative learning control [51].…”

Developments in Deep Brain Stimulators for Successful Aging Towards Smart Devices—An Overview

“…There have been several works that implemented the closed loop control either on an on-board module ( Parastarfeizabadi et al, 2016 ; Parastarfeizabadi and Kouzani, 2017 ) or on a system-on-chip ( Rhew et al, 2014 ; Wu et al, 2017 ; Wang et al, 2021 ). On-board module implementation involves the use of commercially available electronic components, microcontroller and digital signal processing modules.…”

“…The overall SoC, implemented on CMOS 0.18 µm technology, has an overall area of 4 mm 2 while consuming a total power of 468 µW for recording and processing neural signals, for stimulation, and for two-way wireless communication. Another SoC has been developed that incorporates a wireless power supply via an inductive link, a wireless interface, an adaptive high voltage tolerant stimulator, a bio-signal processor for seizure detection, and an 8-channel EEG acquisition unit ( Wu et al, 2017 ). The acquisition unit consists of auto-reset capacitive-coupled instrumentation amplifiers (ARCCIA), band-pass filters, V-to-I programmable gain amplifiers, a multiplexer, a transimpedance amplifier (TIA), and a 10-bit DMSAR (Delta-Modulated Successive Approximation Register ADC).…”