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https://www.readbyqxmd.com/read/29435705/vision-based-gait-impairment-analysis-for-aided-diagnosis
#1
Javier Ortells, María Trinidad Herrero-Ezquerro, Ramón A Mollineda
Gait is a firsthand reflection of health condition. This belief has inspired recent research efforts to automate the analysis of pathological gait, in order to assist physicians in decision-making. However, most of these efforts rely on gait descriptions which are difficult to understand by humans, or on sensing technologies hardly available in ambulatory services. This paper proposes a number of semantic and normalized gait features computed from a single video acquired by a low-cost sensor. Far from being conventional spatio-temporal descriptors, features are aimed at quantifying gait impairment, such as gait asymmetry from several perspectives or falling risk...
February 12, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29434567/turn-around-freezing-community-living-turning-behavior-in-people-with-parkinson-s-disease
#2
Martina Mancini, Aner Weiss, Talia Herman, Jeffrey M Hausdorff
Difficulty in turning while walking is common among patients with Parkinson's disease (PD). This difficulty often leads to significant disability, falls, and loss of function; moreover, turning is a common trigger for freezing of gait (FoG). We hypothesized that the quantity and quality of turning mobility while walking during daily life would be different among subjects with PD with and without FoG. Here, we investigated, for the first time, the turning quality during daily life as it relates to FoG in people with PD using a single inertial sensor...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29397110/validation-of-an-ambient-system-for-the-measurement-of-gait-parameters
#3
Amandine Dubois, Jean-Pierre Bresciani
Fall risk in elderly people is usually assessed using clinical tests. These tests consist in a subjective evaluation of gait performed by healthcare professionals, most of the time shortly after the first fall occurrence. We propose to complement this one-time, subjective evaluation, by a more quantitative analysis of the gait pattern using a Microsoft Kinect. To evaluate the potential of the Kinect sensor for such a quantitative gait analysis, we benchmarked its performance against that of a gold-standard motion capture system, namely the OptiTrack...
January 31, 2018: Journal of Biomechanics
https://www.readbyqxmd.com/read/29286982/concurrent-validity-of-the-zeno-walkway-for-measuring-spatiotemporal-gait-parameters-in-older-adults
#4
Srikant Vallabhajosula, Sarah K Humphrey, Alys J Cook, Jane E Freund
BACKGROUND AND PURPOSE: Previous studies have shown that older adults at high fall risk exhibit altered spatiotemporal gait parameters such as lesser gait speed, shorter step length, and greater step width compared with their healthy counterparts. Measurement of these gait parameters for older adults can play a pivotal role in clinical evaluation. While the GAITRite walkway has been previously validated and used extensively for research purposes, the Zeno walkway validity has not been established...
December 28, 2017: Journal of Geriatric Physical Therapy
https://www.readbyqxmd.com/read/29179052/using-phone-sensors-and-an-artificial-neural-network-to-detect-gait-changes-during-drinking-episodes-in-the-natural-environment
#5
Brian Suffoletto, Pedram Gharani, Tammy Chung, Hassan Karimi
BACKGROUND: Phone sensors could be useful in assessing changes in gait that occur with alcohol consumption. This study determined (1) feasibility of collecting gait-related data during drinking occasions in the natural environment, and (2) how gait-related features measured by phone sensors relate to estimated blood alcohol concentration (eBAC). METHODS: Ten young adult heavy drinkers were prompted to complete a 5-step gait task every hour from 8pm to 12am over four consecutive weekends...
November 22, 2017: Gait & Posture
https://www.readbyqxmd.com/read/29177018/study-of-the-association-between-gait-variability-and-physical-activity
#6
Daniela Ciprandi, Filippo Bertozzi, Matteo Zago, Claudia Lucia Pimenta Ferreira, Giuseppe Boari, Chiarella Sforza, Christel Galvani
Background: Gait variability can be considered an indirect measure of gait stability, in particular regarding temporal or spatial variability assessment. Physical activity, such as walking, is advised for the elderly and can be improved by gait stability. The aim of this study was to investigate the associations between gait stability and physical activity in women of different age ranges. Methods: Forty-two healthy women of different age ranges (18-40 yrs. and 65-75 yrs...
2017: European Review of Aging and Physical Activity
https://www.readbyqxmd.com/read/29060575/gait-variability-assessment-in-neuro-degenerative-patients-by-measuring-complexity-of-independent-sources
#7
Mehrdad Heydarzadeh, Chin-Tuan Tan, Mehrdad Nourani, Sarah Ostadabbas
Patients suffering from neuro-degenerative diseases have difficulties with normal locomotion. This problem progresses with the course of disease. Gait assessment is an effective way of diagnosing the disease and quantifying its progress which can effectively prevent falls. In this paper, an automatic assessment method for analyzing gait data obtained by force sensor insoles is introduced. The gait analysis method is based on measuring the complexity of gait data after extracting independent sources. The results are promising an average accuracy of 94% for three different diseases...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060375/a-monitoring-system-for-walking-rehabilitation-after-thr-or-tkr-surgeries
#8
Qianpeng Zheng, Hong Chen
After total hip replacement and total knee replacement, patients are highly recommended to take walking rehabilitation, during which time, the weight loads on the limb should be limited to a certain range, which is difficult for patients to control on their own. To improve the accuracy and reliability of the traditional method for walking rehabilitation, we proposed a monitoring system comprised of pressure sensors, an analog digital converter, a micro-control unit, Bluetooth modules and a smart-phone application...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28902805/the-effect-of-hearing-aids-and-cochlear-implants-on-balance-during-gait
#9
Tyler S Weaver, Corey S Shayman, Timothy E Hullar
HYPOTHESIS: Auditory input in people with hearing impairment will improve balance while walking. BACKGROUND: Auditory input is increasingly recognized as an additional input for balance. Several studies have found auditory cues to improve static balance measured on a sway platform. The effect of audition on gait, a dynamic task also linked to fall risk, has not been fully examined. If a positive effect were shown between audition and balance, it would further indicate that improving hearing could also improve balance...
October 2017: Otology & Neurotology
https://www.readbyqxmd.com/read/28853612/foot-problems-in-older-adults-associations-with-incident-falls-frailty-syndrome-and-sensor-derived-gait-balance-and-physical-activity-measures
#10
Amy Muchna, Bijan Najafi, Christopher S Wendel, Michael Schwenk, David G Armstrong, Jane Mohler
BACKGROUND: Research on the relationship between foot problems and frailty is sparse and could be elucidated via advances in wearable sensor-based measures of gait, balance, and physical activity (PA). This study examined the impact of foot problems on likelihood of falls, frailty syndrome, motor performance, and PA in community-dwelling older adults. METHODS: Arizona Frailty Cohort Study participants (community-dwelling adults 65 years and older without baseline cognitive deficit, severe movement disorders, or recent stroke) underwent Fried frailty and foot assessment...
August 30, 2017: Journal of the American Podiatric Medical Association
https://www.readbyqxmd.com/read/28711423/randomized-trial-of-intelligent-sensor-system-for-early-illness-alerts-in-senior-housing
#11
Marilyn Rantz, Lorraine J Phillips, Colleen Galambos, Kari Lane, Gregory L Alexander, Laurel Despins, Richelle J Koopman, Marjorie Skubic, Lanis Hicks, Steven Miller, Andy Craver, Bradford H Harris, Chelsea B Deroche
OBJECTIVES: Measure the clinical effectiveness and cost effectiveness of using sensor data from an environmentally embedded sensor system for early illness recognition. This sensor system has demonstrated in pilot studies to detect changes in function and in chronic diseases or acute illnesses on average 10 days to 2 weeks before usual assessment methods or self-reports of illness. DESIGN: Prospective intervention study in 13 assisted living (AL) communities of 171 residents randomly assigned to intervention (n=86) or comparison group (n=85) receiving usual care...
October 1, 2017: Journal of the American Medical Directors Association
https://www.readbyqxmd.com/read/28572784/inertial-sensors-to-assess-gait-quality-in-patients-with-neurological-disorders-a-systematic-review-of-technical-and-analytical-challenges
#12
REVIEW
Aliénor Vienne, Rémi P Barrois, Stéphane Buffat, Damien Ricard, Pierre-Paul Vidal
Gait disorders are major causes of falls in patients with neurological diseases. Understanding these disorders allows prevention and better insights into underlying diseases. InertiaLocoGraphy (ILG) -the quantification of gait by using inertial measurement units (IMUs) -shows great potential to address this public health challenge, but protocols vary widely and normative values of gait parameters are still unavailable. This systematic review critically compares ILG protocols, questions features extracted from inertial signals and proposes a semeiological analysis of clinimetric characteristics for use in neurological clinical routine...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28558724/feature-selection-for-elderly-faller-classification-based-on-wearable%C3%A2-sensors
#13
Jennifer Howcroft, Jonathan Kofman, Edward D Lemaire
BACKGROUND: Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant features. The objectives of this study were to identify and evaluate smaller feature sets for faller classification from large feature sets derived from wearable accelerometer and pressure-sensing insole gait data. METHODS: A convenience sample of 100 older adults (75...
May 30, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28532417/instrumented-balance-and-walking-assessments-in-persons-with-multiple-sclerosis-show-strong-test-retest-reliability
#14
Jordan J Craig, Adam P Bruetsch, Sharon G Lynch, Fay B Horak, Jessie M Huisinga
BACKGROUND: There is a need for objective movement assessment for clinical research trials aimed at improving gait and balance in persons with multiple sclerosis (PwMS). Wireless inertial sensors can accurately measure numerous walking and balance parameters but these measures require evaluation of reliability in PwMS. The current study determined the test-retest reliability of wireless inertial sensor measures obtained during an instrumented standing balance test and an instrumented Timed Up and Go test in PwMS...
May 22, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28482748/robotic-and-sensor-technologies-for-mobility-in-older-people
#15
Lazaros Penteridis, Grazia D'Onofrio, Daniele Sancarlo, Francesco Giuliani, Francesco Ricciardi, Filippo Cavallo, Antonio Greco, Ilias Trochidis, Alexander Gkiokas
Maintaining independent mobility is fundamental to independent living and to the quality of life of older people. Robotic and sensor technologies may offer a lot of potential and can make a significant difference in the lives of older people and to their primary caregivers. The aim of this study was to provide a presentation of the methods that are used up till now for analysis and evaluation of human mobility utilizing sensor technologies and to give the state of the art in robotic platforms for supporting older people with mobility limitations...
October 2017: Rejuvenation Research
https://www.readbyqxmd.com/read/28473306/using-a-medical-intranet-of-things-system-to-prevent-bed-falls-in-an-acute-care-hospital-a-pilot-study
#16
Henri U Balaguera, Diana Wise, Chun Yin Ng, Han-Wen Tso, Wan-Lin Chiang, Aimee M Hutchinson, Tracy Galvin, Lee Hilborne, Cathy Hoffman, Chi-Cheng Huang, C Jason Wang
BACKGROUND: Hospitalized patients in the United States experience falls at a rate of 2.6 to 17.1 per 1000 patient-days, with the majority occurring when a patient is moving to, from, and around the bed. Each fall with injury costs an average of US $14,000. OBJECTIVE: The aim was to conduct a technology evaluation, including feasibility, usability, and user experience, of a medical sensor-based Intranet of things (IoT) system in facilitating nursing response to bed exits in an acute care hospital...
May 4, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28407507/concurrent-validation-of-an-index-to-estimate-fall-risk-in-community-dwelling-seniors-through-a-wireless-sensor-insole-system-a-pilot-study
#17
Mirko Di Rosa, Jeff M Hausdorff, Vera Stara, Lorena Rossi, Liam Glynn, Monica Casey, Stefan Burkard, Antonio Cherubini
Falls are a major health problem for older adults with immediate effects, such as fractures and head injuries, and longer term effects including fear of falling, loss of independence, and disability. The goals of the WIISEL project were to develop an unobtrusive, self-learning and wearable system aimed at assessing gait impairments and fall risk of older adults in the home setting; assessing activity and mobility in daily living conditions; identifying decline in mobility performance and detecting falls in the home setting...
April 4, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28358689/prospective-fall-risk-prediction-models-for-older-adults-based-on-wearable-sensors
#18
Jennifer Howcroft, Jonathan Kofman, Edward Lemaire
Wearable sensors can provide quantitative, gait-based assessments that can translate to point-of-care environments. This investigation generated elderly fall-risk predictive models based on wearable-sensor-derived gait data and prospective fall occurrence; and identified the optimal sensor type, location, and combination for single and dual-task walking. 75 individuals who reported six month prospective fall occurrence (75.2 ± 6.6 years; 47 non-fallers, 28 fallers) walked 7.62 m under single-task and dual-task conditions while wearing pressure-sensing insoles and tri-axial accelerometers at the head, pelvis, and left and right shanks...
March 24, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28278486/differences-between-gait-on-stairs-and-flat-surfaces-in-relation-to-fall-risk-and-future-falls
#19
Kejia Wang, Kim Delbaere, Matthew A D Brodie, Nigel H Lovell, Lauren Kark, Stephen R Lord, Stephen J Redmond
We used body-worn inertial sensors to quantify differences in semi-free-living gait between stairs and on normal flat ground in older adults, and investigated the utility of assessing gait on these terrains for predicting the occurrence of multiple falls. Eighty-two community-dwelling older adults wore two inertial sensors, on the lower back and the right ankle, during several bouts of walking on flat surfaces and up and down stairs, in between rests and activities of daily living. Derived from the vertical acceleration at the lower back, step rate was calculated from the signal's fundamental frequency...
November 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28268650/detection-of-compensatory-balance-responses-using-wearable-electromyography-sensors-for-fall-risk-assessment
#20
Mina Nouredanesh, Sunil L Kukreja, James Tung
Loss of balance is prevalent in older adults and populations with gait and balance impairments. The present paper aims to develop a method to automatically distinguish compensatory balance responses (CBRs) from normal gait, based on activity patterns of muscles involved in maintaining balance. In this study, subjects were perturbed by lateral pushes while walking and surface electromyography (sEMG) signals were recorded from four muscles in their right leg. To extract sEMG time domain features, several filtering characteristics and segmentation approaches are examined...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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