Biblio
Filters: Author is McCrimmon, Colin M [Clear All Filters]
A 64-channel ultra-low power bioelectric signal acquisition system for brain-computer interface. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.
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2015.
A small, portable, battery-powered brain-computer interface system for motor rehabilitation. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. :2776–2779.
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2016.
Feasibility of an ultra-low power digital signal processor platform as a basis for a fully implantable brain-computer interface system. Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. :4491–4494.
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2016.
Electrocorticographic Encoding of Human Gait in the Leg Primary Motor Cortex. Cerebral Cortex. :1–11.
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2017.
CMOS Ultralow Power Brain Signal Acquisition Front-Ends: Design and Human Testing. IEEE Transactions on Biomedical Circuits and Systems.
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2017.