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Real-Time and Offli...
Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements
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- Abbaspour, S. (author)
- Harvard Medical School,Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA.;Harvard Med Sch, Div Sleep Med, Boston, MA 02114 USA.
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- Naber, Autumn, 1988 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Ctr Bion & Pain Res, S-43180 Molndal, Sweden.;Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden.
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- Ortiz Catalan, Max Jair, 1982 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics,Chalmers tekniska högskola,Chalmers University of Technology,University of Gothenburg,Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital,Ctr Bion & Pain Res, S-43180 Molndal, Sweden.;Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden.;Sahlgrens Univ Hosp, Operat Area 3, S-43180 Molndal, Sweden.;Univ Gothenburg, Sahlgrenska Acad, Inst Clin Sci, Dept Orthopaed, S-43180 Molndal, Sweden.
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- GholamHosseini, H. (author)
- Auckland University of Technology,Auckland Univ Technol, Dept Elect & Elect Engn, Auckland 1010, New Zealand.
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- Lindén, Maria, 1965- (author)
- Mälardalens högskola,Inbyggda system
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Harvard Medical School Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA;Harvard Med Sch, Div Sleep Med, Boston, MA 02114 USA. (creator_code:org_t)
- 2021-08-23
- 2021
- English.
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In: Sensors. - : MDPI AG. - 1424-8220. ; 21:16
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Abstract
Subject headings
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- Pattern recognition algorithms have been widely used to map surface electromyographic signals to target movements as a source for prosthetic control. However, most investigations have been conducted offline by performing the analysis on pre-recorded datasets. While real-time data analysis (i.e., classification when new data becomes available, with limits on latency under 200-300 milliseconds) plays an important role in the control of prosthetics, less knowledge has been gained with respect to real-time performance. Recent literature has underscored the differences between offline classification accuracy, the most common performance metric, and the usability of upper limb prostheses. Therefore, a comparative offline and real-time performance analysis between common algorithms had yet to be performed. In this study, we investigated the offline and real-time performance of nine different classification algorithms, decoding ten individual hand and wrist movements. Surface myoelectric signals were recorded from fifteen able-bodied subjects while performing the ten movements. The offline decoding demonstrated that linear discriminant analysis (LDA) and maximum likelihood estimation (MLE) significantly (p < 0.05) outperformed other classifiers, with an average classification accuracy of above 97%. On the other hand, the real-time investigation revealed that, in addition to the LDA and MLE, multilayer perceptron also outperformed the other algorithms and achieved a classification accuracy and completion rate of above 68% and 69%, respectively.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Ortopedi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Orthopaedics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Annan medicinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Other Medical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- classification
- electromyography
- hand movement
- pattern recognition
- real-time
- classification
- signals
- Chemistry
- Engineering
- Instruments & Instrumentation
- Classification
Publication and Content Type
- ref (subject category)
- art (subject category)
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