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Mishra S, Norton JJS, Lee Y, Lee DS, Agee N, Chen Y, Chun Y, Yeo WH. Soft, conformal bioelectronics for a wireless human-wheelchair interface. Biosens Bioelectron 2017; 91:796-803. [PMID: 28152485 DOI: 10.1016/j.bios.2017.01.044] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 01/17/2017] [Accepted: 01/20/2017] [Indexed: 10/20/2022]
Abstract
There are more than 3 million people in the world whose mobility relies on wheelchairs. Recent advancement on engineering technology enables more intuitive, easy-to-use rehabilitation systems. A human-machine interface that uses non-invasive, electrophysiological signals can allow a systematic interaction between human and devices; for example, eye movement-based wheelchair control. However, the existing machine-interface platforms are obtrusive, uncomfortable, and often cause skin irritations as they require a metal electrode affixed to the skin with a gel and acrylic pad. Here, we introduce a bioelectronic system that makes dry, conformal contact to the skin. The mechanically comfortable sensor records high-fidelity electrooculograms, comparable to the conventional gel electrode. Quantitative signal analysis and infrared thermographs show the advantages of the soft biosensor for an ergonomic human-machine interface. A classification algorithm with an optimized set of features shows the accuracy of 94% with five eye movements. A Bluetooth-enabled system incorporating the soft bioelectronics demonstrates a precise, hands-free control of a robotic wheelchair via electrooculograms.
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Affiliation(s)
- Saswat Mishra
- Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - James J S Norton
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Yongkuk Lee
- Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Dong Sup Lee
- Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Nicolas Agee
- Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Yanfei Chen
- Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Youngjae Chun
- Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Woon-Hong Yeo
- Department of Mechanical and Nuclear Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA; Center for Rehabilitation Science and Engineering, Massey Cancer Center, School of Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
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Agee N, De La Fuente S, Arnoletti J, Eubanks S, Blazer D, Pappas T, Scarborough J. Ascites Is A Risk Factor for Increased Postoperative Morbidity and Mortality in Patients That Undergo Pancreatic Necrosectomy for Acute Pancreatic Necrosis. J Surg Res 2014. [DOI: 10.1016/j.jss.2013.11.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Agee N, Montero P, Hope W, Lincourt A, Kercher K, Stefanidis D, Heniford B. Does Timing of Operative Care during Fellowship Training Impact Patient Care? J Surg Res 2010. [DOI: 10.1016/j.jss.2009.11.564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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