Literature DB >> 32746357

A 3-Mbps, 802.11g-Based EMG Recording System With Fully Implantable 5-Electrode EMG Acquisition Device.

Kian Ann Ng, Astrid Rusly, Gil Gerald Lasam Gammad, Nguyen Le, Shih-Chiang Liu, Khay-Wai Leong, Miaolin Zhang, John S Ho, Jerald Yoo, Shih-Cheng Yen.   

Abstract

We have developed a 5-electrode recording system that combines an implantable electromyography (EMG) device package with transcutaneous inductive power transmission, near-infrared (NIR) transcutaneous data telemetry and 3 Mbps Wi-Fi data acquisition for chronic EMG recording in vivo. This system comprises a hermetically-sealed single-chip, 5-electrode Implantable EMG Acquisition Device (IEAD), a custom external powering and Implant Telemetry Module (ITM), and a custom Wi-Fi-based Raspberry Pi-based Data Acquisition (RaspDAQ) and relay device. The external unit (ITM and RaspDAQ) is powered entirely by a single battery to achieve the objective of untethered EMG recording, for the convenience of clinicians and animal researchers. The IEAD acquires intramuscular EMG signals at 17.85 ksps/electrode while being powered transcutaneously by the ITM using 22 MHz near-field inductive coupling. The acquired EMG data is transmitted transcutaneously via NIR telemetry to the ITM, which in turn, transfers the data to the RaspDAQ for relaying to a laptop computer for display and storage. We have also validated the complete system by acquiring EMG signals from rodents for up to two months. Following the explantation of the devices, we have also conducted failure and histological analysis on the devices and the surrounding tissue, respectively.

Mesh:

Year:  2020        PMID: 32746357     DOI: 10.1109/TBCAS.2020.3009088

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  2 in total

1.  A Highly Miniaturized, Chronically Implanted ASIC for Electrical Nerve Stimulation.

Authors:  Jay Shah; Christopher Quinkert; Brett Collar; Michael Williams; Ethan Biggs; Pedro Irazoqui
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2022-05-19       Impact factor: 5.234

2.  Floating EMG sensors and stimulators wirelessly powered and operated by volume conduction for networked neuroprosthetics.

Authors:  Laura Becerra-Fajardo; Marc Oliver Krob; Jesus Minguillon; Camila Rodrigues; Christine Welsch; Marc Tudela-Pi; Albert Comerma; Filipe Oliveira Barroso; Andreas Schneider; Antoni Ivorra
Journal:  J Neuroeng Rehabil       Date:  2022-06-07       Impact factor: 5.208

  2 in total

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