Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor
There are currently no evidence-based practical automated injury risk factor estimation tools to monitor low back compressive force in ambulatory or sporting environments. For this purpose, inertial sensors may potentially replace laboratory-based systems with comparable results. The objective was t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/49/1/37 |
| _version_ | 1826993987894902784 |
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| author | Sam Gleadhill Daniel James Raymond Leadbetter Tomohito Wada Ryu Nagahara James Lee |
| author_facet | Sam Gleadhill Daniel James Raymond Leadbetter Tomohito Wada Ryu Nagahara James Lee |
| author_sort | Sam Gleadhill |
| collection | DOAJ |
| description | There are currently no evidence-based practical automated injury risk factor estimation tools to monitor low back compressive force in ambulatory or sporting environments. For this purpose, inertial sensors may potentially replace laboratory-based systems with comparable results. The objective was to investigate inertial sensor validity to monitor low back compression force. Thirty participants completed a series of lifting tasks from the floor. Back compression force was estimated using a hand calculated method, an inertial sensor method and a three-dimensional motion capture method. Results demonstrated that semi-automation with a sensor had a higher agreement with motion capture compared to the hand calculated method, with angle errors of less than six degrees and back compression force errors of less than 200 Newtons. It was concluded that inertial sensors are valid to implement for static low back compression force estimations. |
| first_indexed | 2024-03-10T19:11:00Z |
| format | Article |
| id | doaj.art-47fed572080f42bfac04b2ebe25d346f |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2025-02-18T09:11:37Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
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| series | Proceedings |
| spelling | doaj.art-47fed572080f42bfac04b2ebe25d346f2024-11-02T23:07:27ZengMDPI AGProceedings2504-39002020-06-014913710.3390/proceedings2020049037Semi-Automating Low Back Compression Force Estimations with an Inertial SensorSam Gleadhill0Daniel James1Raymond Leadbetter2Tomohito Wada3Ryu Nagahara4James Lee5National Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, JapanSABEL, Charles Darwin University, Casuarina 0810, AustraliaSABEL, Charles Darwin University, Casuarina 0810, AustraliaNational Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, JapanNational Institute of Fitness and Sports in Kanoya, Kanoya 891-2393, JapanSABEL, Charles Darwin University, Casuarina 0810, AustraliaThere are currently no evidence-based practical automated injury risk factor estimation tools to monitor low back compressive force in ambulatory or sporting environments. For this purpose, inertial sensors may potentially replace laboratory-based systems with comparable results. The objective was to investigate inertial sensor validity to monitor low back compression force. Thirty participants completed a series of lifting tasks from the floor. Back compression force was estimated using a hand calculated method, an inertial sensor method and a three-dimensional motion capture method. Results demonstrated that semi-automation with a sensor had a higher agreement with motion capture compared to the hand calculated method, with angle errors of less than six degrees and back compression force errors of less than 200 Newtons. It was concluded that inertial sensors are valid to implement for static low back compression force estimations.https://www.mdpi.com/2504-3900/49/1/37back compressive forceinertial sensorlow back painlow back disordervalidation |
| spellingShingle | Sam Gleadhill Daniel James Raymond Leadbetter Tomohito Wada Ryu Nagahara James Lee Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor Proceedings back compressive force inertial sensor low back pain low back disorder validation |
| title | Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor |
| title_full | Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor |
| title_fullStr | Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor |
| title_full_unstemmed | Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor |
| title_short | Semi-Automating Low Back Compression Force Estimations with an Inertial Sensor |
| title_sort | semi automating low back compression force estimations with an inertial sensor |
| topic | back compressive force inertial sensor low back pain low back disorder validation |
| url | https://www.mdpi.com/2504-3900/49/1/37 |
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