Wearable sensors are de facto revolutionizing the assessment of standing balance. The aim of this work is to review the state-of-the-art literature that adopts this new posturographic paradigm, i.e., to analyse human postural sway through inertial sensors directly worn on the subject body. After a systematic search on PubMed and Scopus databases, two raters evaluated the quality of 73 full-text articles, selecting 47 high-quality contributions. A good inter-rater reliability was obtained (Cohen's kappa = 0.79). This selection of papers was used to summarize the available knowledge on the types of sensors used and their positioning, the data acquisition protocols and the main applications in this field (e.g., "active aging", biofeedback-based rehabilitation for fall prevention, and the management of Parkinson's disease and other balance-related pathologies), as well as the most adopted outcome measures. A critical discussion on the validation of wearable systems against gold standards is also presented.
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http://dx.doi.org/10.3390/s19194075 | DOI Listing |
Sci Data
January 2025
Department of Anatomy and Anthropology, Faculty of Medical & Health Sciences, Tel- Aviv University, Tel-Aviv, 699780, Israel.
This data descriptor presents a comprehensive and replicable dataset and method for calculating the cervical range of motion (CROM) utilizing quaternion-based orientation analysis from Delsys inertial measurement unit (IMU) sensors. This study was conducted with 14 participants and analyzed 504 cervical movements in the Sagittal, Frontal and Horizontal planes. Validated against a Universal Goniometer and tested for reliability and reproducibility.
View Article and Find Full Text PDFInt J Rob Res
January 2025
Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University, Toronto, ON, Canada.
The York University Teledyne Optech (YUTO) Mobile Mapping System (MMS) Dataset, encompassing four sequences totaling 20.1 km, was thoroughly assembled through two data collection expeditions on August 12, 2020, and June 21, 2019. Acquisitions were performed using a uniquely equipped vehicle, fortified with a panoramic camera, a tilted LiDAR, a Global Positioning System (GPS), and an Inertial Measurement Unit (IMU), journeying through two strategic locations: the York University Keele Campus in Toronto and the Teledyne Optech headquarters in City of Vaughan, Canada.
View Article and Find Full Text PDFOpen Vet J
November 2024
Department of Veterinary Anesthesiology and Surgery, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj Napoca, Cluj Napoca, Romania.
Background: Global technological advancements have shifted equine lameness diagnostics from purely subjective assessment toward more objective, quantitative methods. Traditional gait evaluations are increasingly being supplemented by innovative technologies to enhance diagnostic accuracy.
Aim: This study aimed to determine if traditional gait assessment could be effectively complemented by quantitative measurements using an affordable, self-constructed device, the Lameness Detector 0.
Appl Ergon
December 2024
Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy.
Order picking tasks require repetitive trunk and upper arms movements that may increase the risk of developing musculoskeletal disorders, particularly among older workers due to the decline of their physical capabilities with aging. We proposed an approach based on a limited number of wearable inertial sensors to assessed exposures to non-neutral trunk and upper arms postures among both older and young workers during their regular work-shifts. The obtained data were processed accordingly to international standards (ISO 11226 and EN 1005-4) to detect the existence of possible differences associated with age-specific working strategies.
View Article and Find Full Text PDFArtif Intell Med
December 2024
Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Guillermo Massieu 239, 07320 Mexico City, Mexico.
Patients with Parkinson's disease (PD) in the moderate and severe stages can present several walk alterations. They can show slow movements and difficulty initiating, varying, or interrupting their gait; freezing; short steps; speed changes; shuffling; little arm swing; and festinating gait. The Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD.
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