Design of an electronic system for monitoring muscle activity in weight-lifting
Electronic systems based on body area networks can be used to monitor sports performance. These systems use sensors to acquire signals from the athlete while performing the exercises, and a communication system to transmit the data to a computer or smart phone to analyze it. That information can be...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9042
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9042
- Palabra clave:
- Active filters
Amplifiers (electronic)
Bandpass filters
Electromyography
Low pass filters
Muscle
Networks (circuits)
Smartphones
Sports
Biomechanical analysis
Electromyographic signal
Electronic systems
Frequency contents
Instrumentation amplifier
Precision rectifiers
Sports performance
Surface electromyography
Biomedical signal processing
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Design of an electronic system for monitoring muscle activity in weight-lifting |
| title |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| spellingShingle |
Design of an electronic system for monitoring muscle activity in weight-lifting Active filters Amplifiers (electronic) Bandpass filters Electromyography Low pass filters Muscle Networks (circuits) Smartphones Sports Biomechanical analysis Electromyographic signal Electronic systems Frequency contents Instrumentation amplifier Precision rectifiers Sports performance Surface electromyography Biomedical signal processing |
| title_short |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| title_full |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| title_fullStr |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| title_full_unstemmed |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| title_sort |
Design of an electronic system for monitoring muscle activity in weight-lifting |
| dc.contributor.editor.none.fl_str_mv |
Marrugo A.G. |
| dc.subject.keywords.none.fl_str_mv |
Active filters Amplifiers (electronic) Bandpass filters Electromyography Low pass filters Muscle Networks (circuits) Smartphones Sports Biomechanical analysis Electromyographic signal Electronic systems Frequency contents Instrumentation amplifier Precision rectifiers Sports performance Surface electromyography Biomedical signal processing |
| topic |
Active filters Amplifiers (electronic) Bandpass filters Electromyography Low pass filters Muscle Networks (circuits) Smartphones Sports Biomechanical analysis Electromyographic signal Electronic systems Frequency contents Instrumentation amplifier Precision rectifiers Sports performance Surface electromyography Biomedical signal processing |
| description |
Electronic systems based on body area networks can be used to monitor sports performance. These systems use sensors to acquire signals from the athlete while performing the exercises, and a communication system to transmit the data to a computer or smart phone to analyze it. That information can be used to evaluate sport performance quantitatively, prevent and treat injuries, and design personalized training programs. Surface electromyography (SEMG) is used to study muscle function during dynamic activities, and can be used for the biomechanical analysis of gait, sports gesture, muscle fatigue, and sports performance. This paper describes the design, construction and evaluation of an electronic circuit for monitoring muscle activation during weight-lifting exercises. The system has the following stages: an instrumentation amplifier to amplify the electromyographic (EMG) signal and reduce common-mode noise, a band-pass filter to limit the frequency content to the range 30 to 500 Hz, a precision rectifier, and a low-pass filter with cut-off frequency of 35 Hz, to obtain the signal envelope. The system uses two 9 V batteries, and is portable. Preliminary tests have been done and the acquired EMG signal has amplitudes in the order of volts. © 2014 IEEE. |
| publishDate |
2014 |
| dc.date.issued.none.fl_str_mv |
2014 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:49Z |
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2020-03-26T16:32:49Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Conferencia |
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2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings |
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9781479979325 |
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https://hdl.handle.net/20.500.12585/9042 |
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10.1109/CIIMA.2014.6983460 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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56682863100 56682866800 56682770100 57210822856 |
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2014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings 9781479979325 10.1109/CIIMA.2014.6983460 Universidad Tecnológica de Bolívar Repositorio UTB 56682863100 56682866800 56682770100 57210822856 |
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https://hdl.handle.net/20.500.12585/9042 |
| dc.language.iso.none.fl_str_mv |
eng |
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eng |
| dc.relation.conferencedate.none.fl_str_mv |
22 October 2014 through 24 October 2014 |
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http://purl.org/coar/access_right/c_16ec |
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Atribución-NoComercial 4.0 Internacional |
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Recurso electrónico |
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Institute of Electrical and Electronics Engineers Inc. |
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Institute of Electrical and Electronics Engineers Inc. |
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Marrugo A.G.Mercado-Medina E.L.Chavarro-Hernandez Z.D.Domínguez Jiménez, Juan AntonioContreras Ortiz, Sonia Helena2020-03-26T16:32:49Z2020-03-26T16:32:49Z20142014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014 - Conference Proceedings9781479979325https://hdl.handle.net/20.500.12585/904210.1109/CIIMA.2014.6983460Universidad Tecnológica de BolívarRepositorio UTB56682863100566828668005668277010057210822856Electronic systems based on body area networks can be used to monitor sports performance. These systems use sensors to acquire signals from the athlete while performing the exercises, and a communication system to transmit the data to a computer or smart phone to analyze it. That information can be used to evaluate sport performance quantitatively, prevent and treat injuries, and design personalized training programs. Surface electromyography (SEMG) is used to study muscle function during dynamic activities, and can be used for the biomechanical analysis of gait, sports gesture, muscle fatigue, and sports performance. This paper describes the design, construction and evaluation of an electronic circuit for monitoring muscle activation during weight-lifting exercises. The system has the following stages: an instrumentation amplifier to amplify the electromyographic (EMG) signal and reduce common-mode noise, a band-pass filter to limit the frequency content to the range 30 to 500 Hz, a precision rectifier, and a low-pass filter with cut-off frequency of 35 Hz, to obtain the signal envelope. The system uses two 9 V batteries, and is portable. Preliminary tests have been done and the acquired EMG signal has amplitudes in the order of volts. © 2014 IEEE.Universidad Tecnologica de BolivarRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84930999585&doi=10.1109%2fCIIMA.2014.6983460&partnerID=40&md5=ef34bc59749b5b58cbd97162c8c68497Scopus2-s2.0-849309995852014 3rd International Congress of Engineering Mechatronics and Automation, CIIMA 2014Design of an electronic system for monitoring muscle activity in weight-liftinginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fActive filtersAmplifiers (electronic)Bandpass filtersElectromyographyLow pass filtersMuscleNetworks (circuits)SmartphonesSportsBiomechanical analysisElectromyographic signalElectronic systemsFrequency contentsInstrumentation amplifierPrecision rectifiersSports performanceSurface electromyographyBiomedical signal processing22 October 2014 through 24 October 2014Webster, J., (1997) Medical Instrumentation: Application and Design, , 3rd Ed. WileyLuca, C.J.D., Gilmore, L.D., Kuznetsov, M., Roy, S.H., Filtering the surface femgg signal: Movement artifact and baseline noise contamination (2010) Journal of Biomechanics, 43 (8), pp. 1573-1579. , http://www.sciencedirect.com/science/article/pii/S0021929010000631(1980) I. S. of Electrophysiological Kinesiology, Units, Terms and Standards in the Reporting of EMG Research, , Southern Illinois University School of MedicineMerletti, R., Di Torino, P., Standards for reporting emg data (1999) J Electromyogr Kinesiol, 9 (1), pp. 3-4Potvin, J., Brown, S., Less is more: High pass filtering, to remove up to 99% of the surface emg signal power, improves emg-based biceps brachii muscle force estimates (2004) Journal of Electromyography and Kinesiology, 14 (3), pp. 389-399Andreassi, J., (2010) Psychophysiology: Human Behavior and Physiological Response, , Taylor & FrancisAdrian, E.D., Bronk, D.W., The discharge of impulses in motor nerve fibres part ii. The frequency of discharge in reflex and voluntary contractions (1929) The Journal of Physiology, 67 (2), pp. 13-151Hughes, E., Bell, A., A wireless surface electromyography system (2007) SoutheastCon, 2007. Proceedings. IEEE, pp. 253-253. , MarchSalazar, O.A., Angarita, J.G., Vargas, J.M., Diseño de un electromiógrafo con procesador digital de señales para captación de señales musculares (2007) Revista Médica de Risaralda, 13 (1)Youn, W., Kim, J., Development of a compact-size and wireless surface emg measurement system (2009) ICCAS-SICE, 2009, pp. 1625-1628. , AugSupuk, A.K.C.M., Grujic, T., Skelin, Design, development and testing of a low-cost semg system and its use in recording muscle activity in human gait (2014) U.S. National Library of Medicine, 14 (1-5)Young, D., Farnsworth, B., Triolo, R., Wireless implantable emg sensor for powered prosthesis control (2008) Solid-State and Integrated-Circuit Technology, 2008. ICSICT 2008. 9th International Conference on, pp. 2541-2544. , OctHaberman, M., Spinelli, E.M., Dispositivo de asistencia a discapacitados motores: switch controlado por señales electromiográficas (2013) II Jornadas de Investigación y Transferencia de la Facultad de IngenieríaMertz, L., Technology comes to the playing field: New world of sports promises fewer injuries, better performance (2013) IEEE Pulse, 4 (5), pp. 12-17http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9042/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9042oai:repositorio.utb.edu.co:20.500.12585/90422023-05-26 08:15:36.006Repositorio Institucional UTBrepositorioutb@utb.edu.co |