A 0.338cm $^{3}$ , Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing | Zendy

Dejan Rozgic | Zendy; Vahagn Hokhikyan | Zendy; Wenlong Jiang | Zendy; Ippei Akita | Zendy; Sina Basir - Kazeruni | Zendy; Hariprasad Chandrakumar | Zendy; Dejan Marković | Zendy

Open Access

A 0.338cm<formula> <tex>$^{3}$</tex> </formula>, Artifact-Free, 64-Contact Neuromodulation Platform for Simultaneous Stimulation and Sensing

Author(s) -

Dejan Rozgic,

Vahagn Hokhikyan,

Wenlong Jiang,

Ippei Akita,

Sina Basir - Kazeruni,

Hariprasad Chandrakumar,

Dejan Marković

Publication year - 2018

Publication title -

ieee transactions on biomedical circuits and systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.02

H-Index - 73

eISSN - 1940-9990

pISSN - 1932-4545

DOI - 10.1109/tbcas.2018.2889040

Subject(s) - neuromodulation , stimulation , brain–computer interface , biomedical engineering , computer science , stimulus (psychology) , interface (matter) , computer hardware , electronic engineering , neuroscience , materials science , engineering , electroencephalography , psychology , bubble , maximum bubble pressure method , parallel computing , psychotherapist , biology

Neuromodulation (NM) is the alteration of nervous tissue function through targeted delivery of a stimulus, such as electrical stimulation, into the affected neurological sites in the body. We present a bidirectional NM interface that features 100 mV pp linear input range and ability to sense data concurrent with stimulation (without blanking). The system includes a flexible 8-driver-to-64-contact custom waveform stimulator able to deliver up to 5.1 mA per driver and a 64-contact sensing unit with online blind artifact rejection unit. This artifact rejection unit removes stimulation artifacts from recorded data and allows extraction of neural biomarkers. The NM interface also features an efficient, integrated power management unit that can support various power delivery options. The proposed 64-contact interface satisfies design requirements of human-grade brain implants at unprecedented level of electronic miniaturization compared to state-of-the-art.

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