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Neuromuscular Performance and Injury Risk Assessment Using Fusion of Multimodal Biophysical and Cognitive Data: In-field Athletic Performance and Injury Risk Assessment

Published: 17 December 2021 Publication History

Abstract

Athletes rely on rationally bounded decisions of coaches and sports physicians to optimize performance, improve well-being, and reduce risk of injuries. These decisions are subjective or require costly tests that are not necessarily predictive of in-game performance or cannot predict risk of injury. This paper presents an approach to remedy this shortcoming by providing coaches and sports medicine teams with reliable tools for objective, quantitative assessment of in-field performance and risk of injury. The proposed method uses advanced physiological signal processing, data driven modelling, and multi-modal data fusion techniques applied to data recorded from unobtrusive wearable sensors in tasks and conditions that closely resemble those observed in the field during training or even a game. We postulate that the required data for this prediction task include joint kinematics from inertial measurement units or accelerometers, muscle surface electromyography, ground reaction force, electrocardiography, heart rate and heart rate variability, oxygen saturation, respiration rate, and pupillometry data. The required analysis methods include physiological signal processing, feature extraction, and data-driven modeling techniques to estimate neuromuscular properties, identify joint and leg stiffness, and assess cognitive performance from pupillometry and heart rate variability.

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              cover image ACM Conferences
              ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction
              October 2021
              418 pages
              ISBN:9781450384711
              DOI:10.1145/3461615
              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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              Publication History

              Published: 17 December 2021

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              Author Tags

              1. Neuromuscular injury
              2. athletic performance
              3. cognitive performance
              4. in-field assessment
              5. multi-modal data fusion
              6. neuromechanics
              7. wearable sensors

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              ICMI '21
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              ICMI '21: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
              October 18 - 22, 2021
              QC, Montreal, Canada

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