A human gait temporal parameters calculation algorithm
This paper presents a new algorithm to calculate three temporal parameters of human gait: cadence, swing time and stride time. These values are computed from: heel-strike time, toe-off time and mid-swing point time which can be in turn obtained from the first time derivate of the medio-lateral axis...
- Autores:
-
Rodriguez Cheu, Luis Eduardo
Caicedo Rodriguez, Pablo Eduardo
Rengifo Rodas, Carlos Felipe
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2017
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/1568
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/1568
https://doi.org/10.1007/978-981-10-4086-3_72
- Palabra clave:
- Tecnología médica
Algoritmos - Algoritmos computacionales
Inertial sensor
Gait events
Heel-strike
Toe-off
Stride time
Stance time
Sensor inercial
Eventos de la marcha
Golpe de talón
Desplazamiento de la punta del pie
Tiempo de zancada
Tiempo de apoyo
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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A human gait temporal parameters calculation algorithm |
| title |
A human gait temporal parameters calculation algorithm |
| spellingShingle |
A human gait temporal parameters calculation algorithm Tecnología médica Algoritmos - Algoritmos computacionales Inertial sensor Gait events Heel-strike Toe-off Stride time Stance time Sensor inercial Eventos de la marcha Golpe de talón Desplazamiento de la punta del pie Tiempo de zancada Tiempo de apoyo |
| title_short |
A human gait temporal parameters calculation algorithm |
| title_full |
A human gait temporal parameters calculation algorithm |
| title_fullStr |
A human gait temporal parameters calculation algorithm |
| title_full_unstemmed |
A human gait temporal parameters calculation algorithm |
| title_sort |
A human gait temporal parameters calculation algorithm |
| dc.creator.fl_str_mv |
Rodriguez Cheu, Luis Eduardo Caicedo Rodriguez, Pablo Eduardo Rengifo Rodas, Carlos Felipe |
| dc.contributor.author.none.fl_str_mv |
Rodriguez Cheu, Luis Eduardo Caicedo Rodriguez, Pablo Eduardo Rengifo Rodas, Carlos Felipe |
| dc.contributor.researchgroup.spa.fl_str_mv |
GiBiome |
| dc.subject.armarc.none.fl_str_mv |
Tecnología médica Algoritmos - Algoritmos computacionales |
| topic |
Tecnología médica Algoritmos - Algoritmos computacionales Inertial sensor Gait events Heel-strike Toe-off Stride time Stance time Sensor inercial Eventos de la marcha Golpe de talón Desplazamiento de la punta del pie Tiempo de zancada Tiempo de apoyo |
| dc.subject.proposal.eng.fl_str_mv |
Inertial sensor Gait events Heel-strike Toe-off Stride time Stance time |
| dc.subject.proposal.spa.fl_str_mv |
Sensor inercial Eventos de la marcha Golpe de talón Desplazamiento de la punta del pie Tiempo de zancada Tiempo de apoyo |
| description |
This paper presents a new algorithm to calculate three temporal parameters of human gait: cadence, swing time and stride time. These values are computed from: heel-strike time, toe-off time and mid-swing point time which can be in turn obtained from the first time derivate of the medio-lateral axis angular velocity of both shanks. The results generated by the proposed algorithm were validated with those of the commercial software Tech MCS Studio of Technaid. The comparison gives a mild difference for cadence and stride time. Aditionally, the new algorithm is a good alternative to the thresholding-based algorithms previously reported in the literature which require a great amount of work dedicated to the manual tuning of their multiple parameters. |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017 |
| dc.date.accessioned.none.fl_str_mv |
2021-06-13T22:35:19Z 2021-10-01T17:16:49Z |
| dc.date.available.none.fl_str_mv |
2021-06-13T22:35:19Z 2021-10-01T17:16:49Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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publishedVersion |
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1680-0737 |
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https://repositorio.escuelaing.edu.co/handle/001/1568 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-981-10-4086-3_72 |
| dc.identifier.url.none.fl_str_mv |
https://doi.org/10.1007/978-981-10-4086-3_72 |
| identifier_str_mv |
1680-0737 10.1007/978-981-10-4086-3_72 |
| url |
https://repositorio.escuelaing.edu.co/handle/001/1568 https://doi.org/10.1007/978-981-10-4086-3_72 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationendpage.spa.fl_str_mv |
288 |
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285 |
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13 |
| dc.relation.indexed.spa.fl_str_mv |
N/A |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Ifmbe Proceedings |
| dc.relation.references.eng.fl_str_mv |
Herran Alvaro, García-Zapirain Begoña, Méndez-Zorrilla Amaia. Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications Sensors (Switzerland). 2014;14:3362–3394. Bugané F., Benedetti M. G., Casadio G., et al. Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer: Validation on normal subjects by standard gait analysis Computer Methods and Programs in Biomedicine. 2012;108:129–137. Greene Barry R, Foran Timothy G, McGrath Denise, Doheny Emer P, Burns Adrian, Caulfield Brian. A Comparison of Algorithms for Body-Worn Sensor-Based Spatiotemporal Gait Parameters to the GAITRite Electronic Walkway Journal of Applied Biomechanics. 2012;28:349–355. Jasiewicz Jan M., Allum John H J, Middleton James W., et al. Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals Gait and Posture. 2006;24:502–509. Aung Min S H, Thies Sibylle B., Kenney Laurence P J, et al. Automated detection of instantaneous gait events using time frequency analysis and manifold embedding IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2013;21:908–916. Greene Barry R., McGrath Denise, O'Neill Ross, O'Donovan Karol J., Burns Adrian, Caulfield Brian. An adaptive gyroscope-based algorithm for temporal gait analysis Medical and Biological Engineering and Computing. 2010;48:1251–1260. Fraccaro Paolo, Walsh Lorcan, Doyle Julie, O’Sullivan Dympna. Real-world Gyroscope-based Gait Event Detection and Gait Feature Extraction eTELEMED 2014, The Sixth International Conference on eHealth, Telemedicine, and Social Medicine. 2014:247–252. Sabatini Angelo M., Martelloni Chiara, Scapellato Sergio, Cavallo Filippo. Assessment of walking features from foot inertial sensing IEEE Transactions on Biomedical Engineering. 2005;52:486–494. |
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http://purl.org/coar/access_right/c_14cb |
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info:eu-repo/semantics/closedAccess |
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closedAccess |
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http://purl.org/coar/access_right/c_14cb |
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application/pdf |
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Springer Verlag |
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Alemania |
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https://link.springer.com/chapter/10.1007/978-981-10-4086-3_72 |
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Escuela Colombiana de Ingeniería Julio Garavito |
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Rodriguez Cheu, Luis Eduardo1569d2793bd67114827697a13670cc2e600Caicedo Rodriguez, Pablo Eduardoa17bd7ee94a9fe43c61d517951da1842600Rengifo Rodas, Carlos Felipe3558769042e443b7fe4bbff5889c232d600GiBiome2021-06-13T22:35:19Z2021-10-01T17:16:49Z2021-06-13T22:35:19Z2021-10-01T17:16:49Z20171680-0737https://repositorio.escuelaing.edu.co/handle/001/156810.1007/978-981-10-4086-3_72https://doi.org/10.1007/978-981-10-4086-3_72This paper presents a new algorithm to calculate three temporal parameters of human gait: cadence, swing time and stride time. These values are computed from: heel-strike time, toe-off time and mid-swing point time which can be in turn obtained from the first time derivate of the medio-lateral axis angular velocity of both shanks. The results generated by the proposed algorithm were validated with those of the commercial software Tech MCS Studio of Technaid. The comparison gives a mild difference for cadence and stride time. Aditionally, the new algorithm is a good alternative to the thresholding-based algorithms previously reported in the literature which require a great amount of work dedicated to the manual tuning of their multiple parameters.Este artículo presenta un nuevo algoritmo para calcular tres parámetros temporales de la marcha humana: cadencia, tiempo de balanceo y tiempo de zancada. Estos valores se calculan a partir de: el tiempo de talonamiento, el tiempo de despegue de la punta del pie y el tiempo del punto medio de balanceo, que pueden obtenerse a su vez a partir de la primera derivada temporal de la velocidad angular del eje medio-lateral de ambas piernas. Los resultados generados por el algoritmo propuesto se validaron con los del software comercial Tech MCS Studio de Technaid. La comparación arroja una leve diferencia para la cadencia y el tiempo de zancada. Además, el nuevo algoritmo es una buena alternativa a los algoritmos basados en el umbral previamente reportados en la literatura que requieren una gran cantidad de trabajo dedicado a la sintonía manual de sus múltiples parámetros.application/pdfengSpringer VerlagAlemaniahttps://link.springer.com/chapter/10.1007/978-981-10-4086-3_72A human gait temporal parameters calculation algorithmArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a8528828513N/AIfmbe ProceedingsHerran Alvaro, García-Zapirain Begoña, Méndez-Zorrilla Amaia. Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications Sensors (Switzerland). 2014;14:3362–3394.Bugané F., Benedetti M. G., Casadio G., et al. Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer: Validation on normal subjects by standard gait analysis Computer Methods and Programs in Biomedicine. 2012;108:129–137.Greene Barry R, Foran Timothy G, McGrath Denise, Doheny Emer P, Burns Adrian, Caulfield Brian. A Comparison of Algorithms for Body-Worn Sensor-Based Spatiotemporal Gait Parameters to the GAITRite Electronic Walkway Journal of Applied Biomechanics. 2012;28:349–355.Jasiewicz Jan M., Allum John H J, Middleton James W., et al. Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals Gait and Posture. 2006;24:502–509.Aung Min S H, Thies Sibylle B., Kenney Laurence P J, et al. Automated detection of instantaneous gait events using time frequency analysis and manifold embedding IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2013;21:908–916.Greene Barry R., McGrath Denise, O'Neill Ross, O'Donovan Karol J., Burns Adrian, Caulfield Brian. An adaptive gyroscope-based algorithm for temporal gait analysis Medical and Biological Engineering and Computing. 2010;48:1251–1260.Fraccaro Paolo, Walsh Lorcan, Doyle Julie, O’Sullivan Dympna. Real-world Gyroscope-based Gait Event Detection and Gait Feature Extraction eTELEMED 2014, The Sixth International Conference on eHealth, Telemedicine, and Social Medicine. 2014:247–252.Sabatini Angelo M., Martelloni Chiara, Scapellato Sergio, Cavallo Filippo. Assessment of walking features from foot inertial sensing IEEE Transactions on Biomedical Engineering. 2005;52:486–494.info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbTecnología médicaAlgoritmos - Algoritmos computacionalesInertial sensorGait eventsHeel-strikeToe-offStride timeStance timeSensor inercialEventos de la marchaGolpe de talónDesplazamiento de la punta del pieTiempo de zancadaTiempo de apoyoTHUMBNAILA human gait temporal parameters calculation algorithm.pngA human gait temporal parameters calculation algorithm.pngimage/png138489https://repositorio.escuelaing.edu.co/bitstream/001/1568/5/A%20human%20gait%20temporal%20parameters%20calculation%20algorithm.png5bd3b5470f14543a5454e29cd302294fMD55open accessA human gait temporal parameters calculation algorithm.pdf.jpgA human gait temporal parameters calculation algorithm.pdf.jpgGenerated Thumbnailimage/jpeg16052https://repositorio.escuelaing.edu.co/bitstream/001/1568/6/A%20human%20gait%20temporal%20parameters%20calculation%20algorithm.pdf.jpgf818e936545669c14d526a41f9e70a24MD56metadata only accessORIGINALA human gait temporal parameters calculation algorithm.pdfA human gait temporal parameters calculation algorithm.pdfArtículo de revistaapplication/pdf1143223https://repositorio.escuelaing.edu.co/bitstream/001/1568/4/A%20human%20gait%20temporal%20parameters%20calculation%20algorithm.pdf412592a6b6e644567e62ce427a4944f7MD54metadata only accessLICENSElicense.txttext/plain1881https://repositorio.escuelaing.edu.co/bitstream/001/1568/1/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD51open accessTEXTA human gait temporal parameters calculation algorithm.pdf.txtA human gait temporal parameters calculation algorithm.pdf.txtExtracted texttext/plain4https://repositorio.escuelaing.edu.co/bitstream/001/1568/3/A%20human%20gait%20temporal%20parameters%20calculation%20algorithm.pdf.txtce17bbb4d4f1cbe9a2413e4ea88bb0b2MD53open access001/1568oai:repositorio.escuelaing.edu.co:001/15682022-11-25 03:01:40.075metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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 |