Optimize Running Gait Analysis Outcomes With Wearable Tech Explicitly, this review reported on: (1) methodologies employed to assess validity and reliability of wearables for running gait assessment; (2) application of wearables to assess running gait; and (3) commonly reported running gait outcomes and findings. By incorporating these sensors into wearable devices, running experts gain access to invaluable data that can significantly improve their understanding of a patient's running gait.

Optimize Running Gait Analysis Outcomes With Wearable Tech The review specifically aims to 1: evaluate the methodologies used in gait analysis research 2; explore the spatiotemporal, and gait symmetry, running related injuries 3; identify wearable technology; and 4 offer evidence based recommendations for future research and practical applications. 12. Most studies took place indoors (n = 93), using a treadmill (n = 62), with the main aims seeking to identify running gait outcomes or investigate the effects of injury, fatigue, intrinsic factors (e.g. age, sex, morphology) or footwear on running gait outcomes. Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: a) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and b) machine learning methods (mlms) which enable high accuracy gait feature extraction for analysis. We aimed to systematically review the available literature investigating how wearable technology is being used for running gait analysis in adults. a systematic search of the literature was conducted in the following scientific databases: pubmed, scopus, web of science and sportdiscus.

Optimize Running Gait Analysis Outcomes With Wearable Tech Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: a) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and b) machine learning methods (mlms) which enable high accuracy gait feature extraction for analysis. We aimed to systematically review the available literature investigating how wearable technology is being used for running gait analysis in adults. a systematic search of the literature was conducted in the following scientific databases: pubmed, scopus, web of science and sportdiscus. To examine analytical (concurrent) validation of the wearable devices (research grade, commercial, novel multimodal) for running gait measurement, we will compare outcomes to relevant reference measures (i.e., force plates for ground contact time) in all laboratory testing participants (n = 40). Specifically, this pilot study will: 1) examine analytical validity and reliability of wearables (research grade, commercial, high end multimodal) within a controlled laboratory setting; 2) examine. Purpose: there are important methodological considerations for translating wearable based gait monitoring data to field settings. this study investigated different devices' sampling rates, signal lengths, and testing frequencies for athlete monitoring using dynamical systems variables. Wearable devices have been used for out of lab walking and running gait analyses. long term running analyses are scarce and could facilitate prospective studies. investigation of more participants could yield detection of functional subgroups. while current wearable devices seem unobtrusive, evaluation of usability is needed.