Literature DB >> 21571616

Brain-muscle-computer interface: mobile-phone prototype development and testing.

Scott Vernon1, Sanjay S Joshi.   

Abstract

We report prototype development and testing of a new mobile-phone-based brain-muscle-computer interface for severely paralyzed persons, based on previous results from our group showing that humans may actively create specified power levels in two separate frequency bands of a single surface electromyography (sEMG) signal. EMG activity on the surface of a single face muscle site (auricularis superior) is recorded with a standard electrode. This analog electrical signal is imported into an Android-based mobile phone and digitized via an internal A/D converter. The digital signal is split, and then simultaneously filtered with two band-pass filters to extract total power within two separate frequency bands. The user-modulated power in each frequency band serves as two separate control channels for machine control. After signal processing, the Android phone sends commands to external devices via a Bluetooth interface. Users are trained to use the device via visually based operant conditioning, with simple cursor-to-target activities on the phone screen. The mobile-phone prototype interface is formally evaluated on a single advanced Spinal Muscle Atrophy subject, who has successfully used the interface in his home in evaluation trials and for remote control of a television. Development of this new device will not only guide future interface design for community use, but will also serve as an information technology bridge for in situ data collection to quantify human sEMG manipulation abilities for a relevant population.

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Mesh:

Year:  2011        PMID: 21571616     DOI: 10.1109/TITB.2011.2153208

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  4 in total

1.  Surface electromyographic control of a novel phonemic interface for speech synthesis.

Authors:  Gabriel J Cler; Alfonso Nieto-Castañón; Frank H Guenther; Susan K Fager; Cara E Stepp
Journal:  Augment Altern Commun       Date:  2016-05-04       Impact factor: 2.214

2.  Discrete Versus Continuous Mapping of Facial Electromyography for Human-Machine Interface Control: Performance and Training Effects.

Authors:  Gabriel J Cler; Cara E Stepp
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-01-20       Impact factor: 3.802

3.  Implantable brain-computer interface for neuroprosthetic-enabled volitional hand grasp restoration in spinal cord injury.

Authors:  Iahn Cajigas; Kevin C Davis; Benyamin Meschede-Krasa; Noeline W Prins; Sebastian Gallo; Jasim Ahmad Naeem; Anne Palermo; Audrey Wilson; Santiago Guerra; Brandon A Parks; Lauren Zimmerman; Katie Gant; Allan D Levi; W Dalton Dietrich; Letitia Fisher; Steven Vanni; John Michael Tauber; Indie C Garwood; John H Abel; Emery N Brown; Michael E Ivan; Abhishek Prasad; Jonathan Jagid
Journal:  Brain Commun       Date:  2021-10-21

4.  Driving Mode Selection through SSVEP-Based BCI and Energy Consumption Analysis.

Authors:  Juai Wu; Zhenyu Wang; Tianheng Xu; Chengyang Sun
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

  4 in total

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