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Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity

Vishal Patel, Austin Chesmore, Christopher M. Legner, Santosh Pandey
2021 Advanced Intelligent Systems  
Workplace health wearables designed for work-related musculoskeletal disorders, functional movement disorders, respiratory hazards, cardiovascular health, outdoor sun exposure, and continuous glucose monitoring  ...  Connected worker platforms are discussed with information about the architecture, system modules, intelligent operations, and industry applications.  ...  The authors are grateful to the companies for taking the time to discuss their technologies with them and providing permission to reproduce their technology figures in this publication.  ... 
doi:10.1002/aisy.202100099 fatcat:ptbiiiaip5dfpbiorbhhpzesx4

Review of Wearable Devices and Data Collection Considerations for Connected Health

Vini Vijayan, James Connolly, Joan Condell, Nigel McKelvey, Philip Gardiner
2021 Sensors  
Wearable sensors can typically assess and quantify the wearer's physiology and are commonly employed for human activity detection and quantified self-assessment.  ...  Wearable sensors are increasingly utilised to monitor patient health, rapidly assist with disease diagnosis, and help predict and often improve patient outcomes.  ...  with musculoskeletal disorders.  ... 
doi:10.3390/s21165589 pmid:34451032 pmcid:PMC8402237 fatcat:qubolay6wjb35orvkwtunwz7e4

Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies

Massimo Sartori, David G. Llyod, Dario Farina
2016 IEEE Transactions on Biomedical Engineering  
We present advanced electromyography-based techniques for interfacing with the human nervous system and model-based techniques for translating the extracted neural information into estimates of motor function  ...  A major factor limiting this understanding is the difficulty of bridging between events taking place at the neurophysiologic level (i.e., motor neuron firings) with those emerging at the musculoskeletal  ...  Hochmann, and Dr. B. Graimann for providing movement data for Fig. 7 .  ... 
doi:10.1109/tbme.2016.2538296 pmid:27046865 fatcat:6glrzusfj5dhponqcfwqg7ukme

The level of mental load during a functional task is reflected in oculometrics [chapter]

Ramtin Zargari Marandi, Afshin Samani, Pascal Madeleine
2017 International Federation for Medical and Biological Engineering Proceedings  
Luke) • Adverse Workstyle and its correlation with other ergonomic risk factors in Work Related Musculoskeletal Disorders (Sharan Deepak) human Factors and sustainable Development_04/others Chair:  ...  for prevention and treatment of work Related Musculoskeletal Disorders. what works and what doesn't?  ... 
doi:10.1007/978-981-10-5122-7_15 fatcat:vaq2jz2o3zgofdi4tkkn2ksfje

Technology in Parkinson's disease: Challenges and opportunities

Alberto J. Espay, Paolo Bonato, Fatta B. Nahab, Walter Maetzler, John M. Dean, Jochen Klucken, Bjoern M. Eskofier, Aristide Merola, Fay Horak, Anthony E. Lang, Ralf Reilmann, Joe Giuffrida (+16 others)
2016 Movement Disorders  
On-shoe wearable sensors for gait and turning assessment of patients with Parkinson’s disease.  ...  Kubota directs data science and the partnership with Intel on wearable technologies and analytics enacted through the Michael J Fox Foundation for Parkinson’s Research  ... 
doi:10.1002/mds.26642 pmid:27125836 pmcid:PMC5014594 fatcat:hkaphtxh4zhstgj7vhxmjp7ncu

IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion

Omid Dehzangi, Mojtaba Taherisadr, Raghvendar ChangalVala
2017 Sensors  
We then investigated our proposed early and late sensor fusion approaches, which improved the gait identification accuracy of the system to 93.36% and 97.06%, respectively.  ...  We then present two methods for early (input level) and late (decision score level) multi-sensor fusion to improve the gait identification generalization performance.  ...  Mojtaba contributed in data analytics and time-frequency representation, CNN design and result generation, and writing and preparing the manuscript.  ... 
doi:10.3390/s17122735 pmid:29186887 pmcid:PMC5750784 fatcat:yh6kz7osubdl7akosla32jtn5u

Directing and Orienting ICT Healthcare Solutions to Address the Needs of the Aging Population

Nada Fares, R. Simon Sherratt, Imad H. Elhajj
2021 Healthcare  
With an aging population, it is essential to maintain good health and autonomy for as long as possible.  ...  Method: The aim of this paper was to conduct a systematic literature review to analyse the state of the art of ICT solutions for older people with chronic conditions, and the impact of these solutions  ...  ISTOP-FALLS [107] is another project that focused on fall detection and fall-related factors that promised to provide a fall prevention system with a wide range of services including a fall risk assessment  ... 
doi:10.3390/healthcare9020147 pmid:33540510 fatcat:3qmov4rpsvcpdfizj4coj4o3na

Intelligence-Based Spine Care Model: A New Era of Research and Clinical Decision-Making

G. Michael Mallow, Zakariah K. Siyaji, Fabio Galbusera, Alejandro A. Espinoza-Orías, Morgan Giers, Hannah Lundberg, Christopher Ames, Jaro Karppinen, Philip K. Louie, Frank M. Phillips, Robin Pourzal, Joseph Schwab (+9 others)
2020 Global Spine Journal  
Cameras and gait analysis platforms have described patterns of gait dysfunction caused by conditions such as myelopathy. 92 Smart fabrics and shoes as well as other wearable devices using a variety of  ...  How such data is interlinked, interacts with each other and is further related to imaging and other clinical parameters goes beyond a basic statistical undertaking and beckons much more complex analytical  ... 
doi:10.1177/2192568220973984 pmid:33251858 fatcat:uuk77tx3lbg2ddw3z6fcdf3q7m

Explaining the Ergonomic Assessment of Human Movement in Industrial Contexts

Sara Santos, Duarte Folgado, João Rodrigues, Nafiseh Mollaei, Carlos Fujão, Hugo Gamboa
2020 Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies  
The operations carried out at assembly lines are repetitive, being identified as a risk factor for the onset of musculoskeletal disorders.  ...  Through direct measures, the ergonomic feedback is fastened, and consequently, the evaluation can be extended to more operators, ultimately preventing, in long-term, work-related injuries.  ...  of industrial workforces and analytics for predicting and preventing work-related musculoskeletal disorders [35] .  ... 
doi:10.5220/0008953800790088 dblp:conf/biostec/SantosFRMFG20 fatcat:574z3wczwbfzbkxbhlxnj26644

Free-living monitoring of Parkinson's disease: Lessons from the field

Silvia Del Din, Alan Godfrey, Claudia Mazzà, Sue Lord, Lynn Rochester
2016 Movement Disorders  
Enriched measurement, coupled 68 with ease of use, also has implications for industry, paving the way for identification of early disease 69 with the potential for enhanced diagnostic and progression markers  ...  It outlines the potential advantages of wearable technologies and evidence for these to 42 accurately detect and measure clinically relevant features including motor symptoms, falls risk, 43 freezing of  ...  Brook Galna for his support in editing Figure 1 . 395  ... 
doi:10.1002/mds.26718 pmid:27452964 fatcat:ae5gwmdy7nhf3mgana6bpyjsom

Fiber Bragg Gratings for medical applications and future challenges: a review

Daniela Lo Presti, Carlo Massaroni, Catia S. J. Leitao, M. Fatima Domingues, Marzhan Sypabekova, David Barrera, Ignazio Floris, Luca Massari, Calogero M. Oddo, Salvador Sales, Iulian I. Iordachita, Daniele Tosi (+1 others)
2020 IEEE Access  
This paper reviews the FBG-based measuring systems, their principle of work, and their applications in medicine and healthcare.  ...  FBGs have been employed in the development of surgical tools, assistive devices, wearables, and biosensors, showing great potentialities for medical uses.  ...  This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see  ... 
doi:10.1109/access.2020.3019138 fatcat:kzmwgcm2fnamzhmitwg6neo4ra

Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment

Alex J. Hope, Utkarsh Vashisth, Matthew J. Parker, Andreas B. Ralston, Joshua M. Roper, John D. Ralston
2021 Sensors  
A significant unmet clinical need remains for tools that allow related physiological impairments and longer-term health risks to be identified earlier, better quantified, and more easily monitored over  ...  This study also demonstrates the first combination of a wearable IMU-based sensor and ML model that enables both binary classification of concussion patients and multiclass predictions of specific concussion-related  ...  Acknowledgments: The authors acknowledge the support of Ashutosh Raina and Brian Benson in overseeing the clinical concussion patient data collection and diagnoses.  ... 
doi:10.3390/s21217417 pmid:34770729 pmcid:PMC8587627 fatcat:mhsr4gpdsbd6hdbmw2dimsyh7u

Pervasive Healthcare Internet of Things: A Survey

Kim Anh Phung, Cemil Kirbas, Leyla Dereci, Tam V. Nguyen
2022 Information  
Intensively covering 118 research works, we survey (1) applications, (2) key components, their roles and connections, and (3) the challenges.  ...  We provide a broad vision of key components, their roles, and connections in the big picture.  ...  We foresee the future of medical IoT systems with more innovative and modern kinds of sensors such as nanotechnology.  ... 
doi:10.3390/info13080360 fatcat:citvikbshrfrrhxdy5br4plway

A Wearable System for the Estimation of Performance-Related Metrics during Running and Jumping Tasks

Salvatore Tedesco, Davide Alfieri, Eduardo Perez-Valero, Dimitrios-Sokratis Komaris, Luke Jordan, Marco Belcastro, John Barton, Liam Hennessy, Brendan O'Flynn
2021 Applied Sciences  
In this paper, a novel wearable motion sensor-based system has been designed and developed for athletic performance assessment during running and jumping tasks.  ...  The system consists of a number of components involving embedded systems (hardware and software), back-end analytics, information and communications technology (ICT) platforms, and a graphical user interface  ...  Participants were excluded if they reported any previous musculoskeletal disorder.  ... 
doi:10.3390/app11115258 fatcat:23ji222s25dcnkrxhvp4f437tu

A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations

Jonathan M. Peake, Graham Kerr, John P. Sullivan
2018 Frontiers in Physiology  
A wide range of smart watches, bands, garments, and patches with embedded sensors, small portable devices and mobile applications now exist to record and provide users with feedback on many different physical  ...  whether it has been validated and is reliable, and if it is suitable for general consumer use.  ...  AUTHOR CONTRIBUTIONS JP and JS conceived the concept for this review. JP, GK, and JS searched the literature and wrote the manuscript. JP designed the figures.  ... 
doi:10.3389/fphys.2018.00743 pmid:30002629 pmcid:PMC6031746 fatcat:ygtromebafd4dkxu7awileiycy
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