Estimating in vivo passive forces of the index finger muscles: Exploring model parameters |
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| Authors: | Jin Qin David Lee Zhizhong Li Hua Chen Jack T Dennerlein |
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| Institution: | 1. Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115, USA;2. Department of Medicine, University of California, San Francisco/Berkeley, CA 94804, USA;3. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China;4. Department of Orthopaedic Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA;1. Department of Radiology, Centre Hospitalier de l''Université de Montréal (CHUM), Montreal, Quebec, Canada;3. Department of Radiation Oncology, Centre Hospitalier de l''Université de Montréal (CHUM), Montreal, Quebec, Canada;4. Department of Surgery, Centre Hospitalier de l''Université de Montréal (CHUM), Montreal, Quebec, Canada;2. Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, Quebec, Canada;5. Department of Radiology, Montreal Heart Institute, Montreal, Quebec, Canada;6. Department of Biostatistics, Montreal Heart Institute, Montreal, Quebec, Canada;1. Department of Occupational Health and Ergonomics, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran;2. Department of Management, Science and Technology, Amirkabir University of Technology, Tehran, Iran;3. Tabriz Health Service Management Research Center, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran;4. Department of Physiotherapy, Faculty of Rehabilitation, Tabriz University of Medical Sciences, Tabriz, Iran;1. Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, Suita, Osaka 565-0871, Japan;2. Department of Neurophysiology, National Institute of Neuroscience, 4-1-1 Ogawa-Higashi-Cho, Kodaira, Tokyo 187-8502, Japan;1. Pennsylvania State University, University Park, PA 16802, USA;2. Laboratoire Aimé Cotton, 91405 Orsay, France;3. Laboratoire Jean-Victor Poncelet, CNRS, Moscow 119002, Russia;4. Institute for Problems of Information Transmission, Moscow 127994, Russia;5. Moscow Institute of Physics and Technology, Dolgoprudny 141700, Russia;6. University of Tehran, Tehran, Iran |
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| Abstract: | We compared predicted passive finger joint torques from a biomechanical model that includes the exponential passive muscle force–length relationship documented in the literature with finger joint torques estimated from measures in ten adult volunteers. The estimated finger joint torques were calculated from measured right index fingertip force, joint postures, and anthropometry across 18 finger and wrist postures with the forearm muscles relaxed. The biomechanical model predicting passive finger joint torques included three extrinsic and three intrinsic finger muscles. The values for the predicted passive joint torques were much larger than the values calculated from the fingertip force and posture measures with an average RMS error of 7.6 N cm. Sensitivity analysis indicated that the predicted joint torques were most sensitive to passive force–length model parameters compared to anthropometric and postural parameters. Using Monte Carlo simulation, we determined a new set of values for the passive force–length model parameters that reduced the differences between the joint torques calculated from the two methods to an average RMS value of 0.5 N cm, a 94% average improvement of error from the torques predicted using the existing data. These new parameter values did vary across individuals; however, using an average set for the parameter values across subjects still reduced the average RMS difference to 0.8 N cm. These new parameters may improve dynamic modeling of the finger during sub-maximal force activities and are based on in vivo data rather than traditional in vitro data. |
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