A Wearable System to Analyze the Human Arm for Predicting Injuries Due to Throwing

Hettiarachchi, Chirath; Kodithuwakku, Janith; Manamperi, Buddhishan; Ifham, Ahamed; Silva, Pujitha

doi:10.1109/embc.2019.8857313

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…They demonstrated excellent accuracy in their initial test, successfully identifying all 161 throwing events in their test set with only one false positive. Another way to monitor workloads in pitchers is via surface electromyography (EMG) (Hettiarachchi et al 2019). EMG electrodes are not obtrusive to gameplay in baseball as it is a non-contact sport, and can thus be used on-field to monitor players' muscle fatigue.…”

Section: Workload Monitoring In Throwing Sportsmentioning

confidence: 99%

“…In addition to overuse injuries, pitchers can often injure themselves due to incorrect techniques (Stretch 1995). Along with pitch count and muscle fatigue monitoring, IMUs and surface EMGs can also be used to objectively screen a player's throwing technique (Hettiarachchi et al 2019). Surface EMGs can be used to monitor the muscle activation pattern of the relevant muscles during a throw (Hettiarachchi et al 2019).…”

Section: Workload Monitoring In Throwing Sportsmentioning

confidence: 99%

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Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

Cheng

Bergmann

2022

Physiol. Meas.

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Participation in sports has become an essential part of healthy living in today’s world. However, injuries can often occur during sports participation. With advancements in sensor technology and data analytics, many sports have turned to technology-aided, data-driven, on-field monitoring techniques to help prevent injuries and plan better player management. This review searched three databases, Web of Science, IEEE, and PubMed, for peer-reviewed articles on on-field data monitoring techniques that are aimed at improving the health and well-being of team-sports athletes. It was found that most on-field data monitoring methods can be categorized as either player workload tracking or physical impact monitoring. Many studies covered during this review attempted to establish correlations between captured physical and physiological data, as well as injury risk. In these studies, workloads are frequently tracked to optimize training and prevent overtraining in addition to overuse injuries, while impacts are most often tracked to detect and investigate traumatic injuries. This review found that current sports monitoring practices often suffer from a lack of standard metrics and definitions. Furthermore, existing data-analysis models are created on data that are limited in both size and diversity. These issues need to be addressed to create ecologically valid approaches in the future.

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Section: Workload Monitoring In Throwing Sportsmentioning

confidence: 99%

Section: Workload Monitoring In Throwing Sportsmentioning

confidence: 99%

Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

Cheng

Bergmann

2022

Physiol. Meas.

View full text Add to dashboard Cite

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“…When measuring EMG, the critical point is the exact position of the electrodes on the muscles. EMG is used to identify the muscle traumas and monitor the recovery tendency after such traumas [62].…”

Section: Electroencephalogram (Eeg)mentioning

confidence: 99%

Wearables for Industrial Work Safety: A Survey

Svertoka

Saafi

Rusu-Casandra

et al. 2021

Sensors

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Today, ensuring work safety is considered to be one of the top priorities for various industries. Workplace injuries, illnesses, and deaths often entail substantial production and financial losses, governmental checks, series of dismissals, and loss of reputation. Wearable devices are one of the technologies that flourished with the fourth industrial revolution or Industry 4.0, allowing employers to monitor and maintain safety at workplaces. The purpose of this article is to systematize knowledge in the field of industrial wearables’ safety to assess the relevance of their use in enterprises as the technology maintaining occupational safety, to correlate the benefits and costs of their implementation, and, by identifying research gaps, to outline promising directions for future work in this area. We categorize industrial wearable functions into four classes (monitoring, supporting, training, and tracking) and provide a classification of the metrics collected by wearables to better understand the potential role of wearable technology in preserving workplace safety. Furthermore, we discuss key communication technologies and localization techniques utilized in wearable-based work safety solutions. Finally, we analyze the main challenges that need to be addressed to further enable and support the use of wearable devices for industrial work safety.

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“…There is a strong focus on using wireless sensors to monitor athletes [ 12 , 13 , 14 , 15 , 16 ] with emphasis on performance assessment [ 9 , 12 , 17 , 18 , 19 , 20 ] and injury prevention [ 21 , 22 ]. To evaluate player performance, single IMU acceleration-derived measures have been adopted to analyze intensity throughout the course of sports practices.…”

Section: Introductionmentioning

confidence: 99%

Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports

Horenstein

Goudeau

Lewis

et al. 2020

Sensors

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The use of wireless sensors to measure motion in non-laboratory settings continues to grow in popularity. Thus far, most validated systems have been applied to measurements in controlled settings and/or for prescribed motions. The aim of this study was to characterize adolescent hip joint motion of elite-level athletes (soccer players) during practice and recreationally active peers (controls) in after-school activities using a magneto-inertial measurement unit (MIMU) system. Opal wireless sensors (APDM Inc., Portland OR, USA) were placed at the sacrum and laterally on each thigh (three sensors total). Hip joint motion was characterized by hip acceleration and hip orientation for one hour of activity on a sports field. Our methods and analysis techniques can be applied to other joints and activities. We also provide recommendations in order to guide future work using MIMUs to pervasively assess joint motions of clinical relevance.

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A Wearable System to Analyze the Human Arm for Predicting Injuries Due to Throwing

Cited by 6 publications

References 9 publications

Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes

Wearables for Industrial Work Safety: A Survey

Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports

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