A 4-Channel Neural Stimulation IC Design With Charge Balancing and Multiple Current Output Modes

This article proposes a neural stimulation integrated circuit design with multiple current output modes. In the cathodic stimulation phase and anodic stimulation phase, each output current waveform can be independently selected to either exponential waveform or square wave, so the stimulator holds f...

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Veröffentlicht in:IEEE transactions on biomedical circuits and systems 2023-10, Vol.17 (5), p.1037-1049
Hauptverfasser: Li, Juzhe, Chen, Weijian, Liu, Xu, Wan, Peiyuan, Chen, Zhijie
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Sprache:eng
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Zusammenfassung:This article proposes a neural stimulation integrated circuit design with multiple current output modes. In the cathodic stimulation phase and anodic stimulation phase, each output current waveform can be independently selected to either exponential waveform or square wave, so the stimulator holds four stimulation modes. To minimize the headroom voltage of the output stage and enhance the power efficiency of the proposed stimulator, we introduce the exponentially decaying current which is realized by the exponential current generation circuit in this work. It can enhance the longer duration of the stimulation pulse as well. In case the residual charge may cause harm to patients, a charge balancing technique is implemented in this work for all operation modes. The four-channel stimulator IC is implemented in a 180-nm CMOS process, occupying a core area of 1.93 mm 2 . The measurement results show that the proposed stimulator realized a maximum power efficiency of 91.3% and the maximum stimulation duration is 3 times larger than previous works. Moreover, even in exponential output waveform mode, the maximum residual charge in a single cycle is only 255 pC due to the proposed charge balancing technique. The experiment results based on the PBS solution also show that the stimulator IC can remove residual charges within 60 μs, and the electrode voltage remains stable within a safe range under multicycle stimulation.
ISSN:1932-4545
1940-9990
DOI:10.1109/TBCAS.2023.3316969