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Objective Classification of Dynamic Balance Using a Single Wearable Sensor

William Johnston, Martin O'Reilly, Kara Dolan, Niamh Reid, Garrett F. Coughlan, Brian Caulfield
2016 Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support  
The Y Balance Test (YBT) is one of the most commonly used dynamic balance assessments in clinical and research settings.  ...  This study sought to investigate the ability of a single lumbar inertial measurement unit (IMU) to discriminate between the three YBT reach directions, and between pre and post-fatigue balance performance  ...  ACKNOWLEDGMENTS This study was funded by the Science Foundation of Ireland (12/RC/2289).  ... 
doi:10.5220/0006079400150024 dblp:conf/icsports/JohnstonODRCC16 fatcat:6mwfbt5bh5hofjtrqthagbzu7a

Objective falls-risk prediction using wearable technologies amongst patients with and without neurogenic gait alterations: a narrative review of clinical feasibility

Callum M. W. Betteridge, Pragadesh Natarajan, R. Dineth Fonseka, Daniel Ho, Ralph Mobbs, Wen Jie Choy
2021 mHealth  
Studies performing gait assessment using any wearable gait assessment device and analysing correlation with the occurrence of falls during a retrospective or prospective study period were included.  ...  The recent development of gait analysis sensor technologies has enabled quantitative measurement of several gait features related to falls risk.  ...  Studies using single-point wearables from 31.26-255 Hz (21,28) have more disagreement between gold-standard and sensor data.  ... 
doi:10.21037/mhealth-21-7 pmid:34805392 pmcid:PMC8572751 fatcat:p5mevgnkwzbwjgfpyw3svprguy

Usefulness of Mobile Devices in the Diagnosis and Rehabilitation of Patients with Dizziness and Balance Disorders: A State of the Art Review

Anna Gawronska, Anna Pajor, Ewa Zamyslowska-Szmytke, Oskar Rosiak, Magdalena Jozefowicz-Korczynska
2020 Clinical Interventions in Aging  
Some static and dynamic clinical tests have been performed with the use of wearable sensors.  ...  Body movements are detected through the use of force platforms that assess static and dynamic balance (conventional posturography).  ...  Disclosure The authors report no conflicts of interest in this work.  ... 
doi:10.2147/cia.s289861 pmid:33376315 pmcid:PMC7764625 fatcat:5tfsvhm7q5dixolyknjy33vxty

Evaluating physical function and activity in the elderly patient using wearable motion sensors

Bernd Grimm, Stijn Bolink
2016 EFORT Open Reviews  
Wearable sensors, in particular inertial measurement units (IMUs) allow the objective, valid, discriminative and responsive assessment of physical function during functional tests such as gait, stair climbing  ...  Low cost and ease of use allow routine clinical application but with many options for sensors, algorithms, test and parameter definitions, choice and comparability remain difficult, calling for consensus  ...  and firm) and the base of support (single-leg, double-leg, and tandem stance position) across six tasks challenge a person's balance and wearable IMUs have been used to measure three-dimensional body  ... 
doi:10.1302/2058-5241.1.160022 pmid:28461937 pmcid:PMC5367538 fatcat:533nrbz7zjgjdcj6gxnn4swkm4

Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis

Steven Díaz, Jeannie B. Stephenson, Miguel A. Labrador
2019 Applied Sciences  
This paper surveys the state-of-the-art in wearable sensor technology in gait, balance, and range of motion research.  ...  A two-level taxonomy of rehabilitation assessment is introduced with evaluation metrics and common algorithms utilized in wearable sensor systems.  ...  [43] 2015 Develop a system to objectively record ground reaction forces, acceleration and direction of the feet using wearable sensors. Reference Year Objective Sijobert et al.  ... 
doi:10.3390/app10010234 fatcat:odh7kxyq4zh55afkl5bmfdybdi

Commercial Postural Devices: A Review

Nicole Kah Mun Yoong, Jordan Perring, Ralph Jasper Mobbs
2019 Sensors  
Wearable technology is a promising alternative to laboratory systems for movement and posture analysis. This article reviews commercial wearable devices with a focus on postural analysis.  ...  Therefore, many are able to afford small luxuries in life, such as a piece of technology that could potentially improve their health in the long run.  ...  Acknowledgments: There are no further acknowledgments Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19235128 pmid:31771130 pmcid:PMC6929158 fatcat:xkqpv2jmevegnikeeeps7w7ajy

3D Digitization of a Hand-Held Object with a Wearable Vision Sensor [chapter]

Sotaro Tsukizawa, Kazuhiko Sumi, Takashi Matsuyama
2004 Lecture Notes in Computer Science  
To realize autonomous recognition of a hand-held object as well as to study human behavior of manipulation and observation, we have developed a wearable vision sensor, which has similar sight to a human  ...  Second, we proposed dynamic space carving for 3D shape extraction of a static object occluded by a dynamic object moving around the static object.  ...  Acknowledgments This paper is supported in part by the Ministry of Education, Culture, Sports, Science and Technology Grant No. 13224051.  ... 
doi:10.1007/978-3-540-24837-8_13 fatcat:cbh5vqesh5fzxdczfgvdyv5b6q

Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings

Daniel Kelly, Karla Muñoz Esquivel, James Gillespie, Joan Condell, Richard Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, John Barton, Salvatore Tedesco, Anna Nordström
2021 Sensors  
This article conducts a literature review of human factors and puts forward an objective scoring system to evaluate the feasibility of balance assessment technology for adaption into remote rehabilitation  ...  The increased use of sensor technology has been crucial in releasing the potential for remote rehabilitation.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21134438 pmid:34203571 fatcat:5jizsqxc6bcc7mocpqppp7wgsy

Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring

Lazzaro di Biase, Alessandro Di Santo, Maria Letizia Caminiti, Alfredo De Liso, Syed Ahmar Shah, Lorenzo Ricci, Vincenzo Di Lazzaro
2020 Sensors  
Gait analysis algorithms used for diagnosis showed a balanced accuracy range of 83.5–100%, sensitivity of 83.3–100% and specificity of 82–100%.  ...  Despite a large number of studies on the topic of objective gait analysis in PD, only a limited number of studies reported algorithms that were accurate enough deemed to be useful for diagnosis and symptoms  ...  Among non-wearable sensors, the single camera image processing system is composed of single or multiple cameras that can be used to obtain information about gait in selected individuals.  ... 
doi:10.3390/s20123529 pmid:32580330 fatcat:c3ajfkdb3nctvdbmyhpiinq66i

Application of data fusion techniques and technologies for wearable health monitoring

Rachel C. King, Emma Villeneuve, Ruth J. White, R. Simon Sherratt, William Holderbaum, William S. Harwin
2017 Medical Engineering and Physics  
This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications.  ...  Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being.  ...  If we consider the use of one to five sensors, for the purpose of identifying fundamental static and dynamic postures a single sensing device can be sufficient.  ... 
doi:10.1016/j.medengphy.2016.12.011 pmid:28237714 fatcat:mqllh4yagnhgdn7vs4zcoqzkim

Instance-Wise Dynamic Sensor Selection for Human Activity Recognition

Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Yingwei Zhang, Wang Lu, Ruizhe Sun
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Firstly, we formalize this problem as minimizing both activity classification loss and sensor number by dynamically selecting a sparse subset for each instance.  ...  The multi-sensor synchronous measurement has shown better performance for HAR than a single sensor. However, the multi-sensor setting increases the costs of data transmission, computation and energy.  ...  by dynamically selecting a subset of sensors along with the instance sequence in order to balance recognition accuracy and sensor cost.  ... 
doi:10.1609/aaai.v34i01.5461 fatcat:xglbpak33vdpjg7z5ia24ll2au

Human Behavior Recognition Model Based on Feature and Classifier Selection

Ge Gao, Zhixin Li, Zhan Huan, Ying Chen, Jiuzhen Liang, Bangwen Zhou, Chenhui Dong
2021 Sensors  
For the existing single method that cannot well realize human activity recognition, this paper proposes a human activity classification and recognition model based on smartphone inertial sensor data.  ...  The model fully considers the feature differences of different properties of actions, uses a fixed sliding window to segment the human activity data of inertial sensors with different attributes and, finally  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21237791 pmid:34883795 fatcat:743nb2eqsjhrbamlvkzgnixpwm

Sensor Data Required for Automatic Recognition of Athletic Tasks Using Deep Neural Networks

Allison L. Clouthier, Gwyneth B. Ross, Ryan B. Graham
2020 Frontiers in Bioengineering and Biotechnology  
These results for simulated sensor data indicate the feasibility of classifying athletic movements using a small number of wearable sensors.  ...  A good classification accuracy of 85.9% was obtained using as few as three simulated sensors placed on the torso and shanks.  ...  In the current study, we found that a single simulated torso sensor resulted in a poor classification accuracy of 48%.  ... 
doi:10.3389/fbioe.2019.00473 pmid:32039178 pmcid:PMC6985033 fatcat:2nrumhgrujf4zc2essa2spkq34

Inertial Sensor Reliability and Validity for Static and Dynamic Balance in Healthy Adults: A Systematic Review

Nicky Baker, Claire Gough, Susan J. Gordon
2021 Sensors  
A synthesis of the included studies shows moderate to good reliability for dynamic balance. Concurrent validity is moderate for both static and dynamic balance.  ...  This systematic review investigated the inter-sensor and test-retest reliability, and concurrent and discriminant validity to measure static and dynamic balance in healthy adults.  ...  Further research is required to evaluate the convergent validity of using a single sensor over the centre of mass rather than a six-sensor array for clinical balance tests such as the timed up and go test  ... 
doi:10.3390/s21155167 fatcat:vom673j3xjcsnilu3noke4roxu

Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review

Rosaria Rucco, Antonietta Sorriso, Marianna Liparoti, Giampaolo Ferraioli, Pierpaolo Sorrentino, Michele Ambrosanio, Fabio Baselice
2018 Sensors  
Wearable sensors have proved to be very useful in monitoring and analyzing the stability of subjects.  ...  Different techniques of measurement and assessment have been used to quantify the postural stability in elderly individuals both in static and dynamic conditions [26, 27] .  ...  Furthermore, walking monitored by wearable sensors could be a useful screening tool to identify people with early signs of balance deficit [103] .  ... 
doi:10.3390/s18051613 pmid:29783647 pmcid:PMC5982638 fatcat:u4z7aa3rljcdzdkl7u6hm5gdwe
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