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https://www.readbyqxmd.com/read/28902805/the-effect-of-hearing-aids-and-cochlear-implants-on-balance-during-gait
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
Kejia Wang, Kim Delbaere, Matthew Brodie, Nigel Lovell, Lauren Kark, Stephen Lord, Stephen 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. 82 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...
March 3, 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
#12
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
https://www.readbyqxmd.com/read/28268412/towards-holistic-free-living-assessment-in-parkinson-s-disease-unification-of-gait-and-fall-algorithms-with-a-single-accelerometer
#13
Alan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, Aodhan Hickey, Jorunn L Helbostad, Lynn Rochester
Technological developments have seen the miniaturization of sensors, small enough to be embedded in wearable devices facilitating unobtrusive and longitudinal monitoring in free-living environments. Concurrently, the advances in algorithms have been ad-hoc and fragmented. To advance the mainstream use of wearable technology and improved functionality of algorithms all methodologies must be unified and robustly tested within controlled and free-living conditions. Here we present and unify a (i) gait segmentation and analysis algorithm and (ii) a fall detection algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28251357/freezing-of-gait-and-fall-detection-in-parkinson-s-disease-using-wearable-sensors-a-systematic-review
#14
REVIEW
Ana Lígia Silva de Lima, Luc J W Evers, Tim Hahn, Lauren Bataille, Jamie L Hamilton, Max A Little, Yasuyuki Okuma, Bastiaan R Bloem, Marjan J Faber
Despite the large number of studies that have investigated the use of wearable sensors to detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus regarding appropriate methodologies for how to optimally apply such devices. Here, an overview of the use of wearable systems to assess FOG and falls in Parkinson's disease (PD) and validation performance is presented. A systematic search in the PubMed and Web of Science databases was performed using a group of concept key words...
August 2017: Journal of Neurology
https://www.readbyqxmd.com/read/28241769/instrumented-gait-analysis-a-measure-of-gait-improvement-by-a-wheeled-walker-in-hospitalized-geriatric-patients
#15
Samuel Schülein, Jens Barth, Alexander Rampp, Roland Rupprecht, Björn M Eskofier, Jürgen Winkler, Karl-Günter Gaßmann, Jochen Klucken
BACKGROUND: In an increasing aging society, reduced mobility is one of the most important factors limiting activities of daily living and overall quality of life. The ability to walk independently contributes to the mobility, but is increasingly restricted by numerous diseases that impair gait and balance. The aim of this cross-sectional observation study was to examine whether spatio-temporal gait parameters derived from mobile instrumented gait analysis can be used to measure the gait stabilizing effects of a wheeled walker (WW) and whether these gait parameters may serve as surrogate marker in hospitalized patients with multifactorial gait and balance impairment...
February 27, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28237714/application-of-data-fusion-techniques-and-technologies-for-wearable-health-monitoring
#16
REVIEW
Rachel C King, Emma Villeneuve, Ruth J White, R Simon Sherratt, William Holderbaum, William S Harwin
Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. 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. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs...
February 22, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28226832/detection-of-compensatory-balance-responses-using-wearable-electromyography-sensors-for-fall-risk-assessment
#17
Mina Nouredanesh, Sunil L Kukreja, James Tung, Mina Nouredanesh, Sunil L Kukreja, James Tung, 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
https://www.readbyqxmd.com/read/28226582/towards-holistic-free-living-assessment-in-parkinson-s-disease-unification-of-gait-and-fall-algorithms-with-a-single-accelerometer
#18
Alan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, Aodhan Hickey, Jorunn L Helbostad, Lynn Rochester, Alan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, Aodhan Hickey, Jorunn L Helbostad, Lynn Rochester, Silvia Del Din, Rosie Morris, Alan Godfrey, Lynn Rochester, Jorunn L Helbostad, Aodhan Hickey, Alan Bourke
Technological developments have seen the miniaturization of sensors, small enough to be embedded in wearable devices facilitating unobtrusive and longitudinal monitoring in free-living environments. Concurrently, the advances in algorithms have been ad-hoc and fragmented. To advance the mainstream use of wearable technology and improved functionality of algorithms all methodologies must be unified and robustly tested within controlled and free-living conditions. Here we present and unify a (i) gait segmentation and analysis algorithm and (ii) a fall detection algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28186875/freezing-of-gait-detection-in-parkinson-s-disease-a-subject-independent-detector-using-anomaly-scores
#19
Thuy T Pham, Steven T Moore, Simon John Geoffrey Lewis, Diep N Nguyen, Eryk Dutkiewicz, Andrew J Fuglevand, Alistair L McEwan, Philip H W Leong
Freezing of gait (FoG) is common in Parkinsonian gait and strongly relates to falls. Current clinical FoG assessments are patients' self-report diaries and experts' manual video analysis. Both are subjective and yield moderate reliability. Existing detection algorithms have been predominantly designed in subject-dependent settings. In this paper, we aim to develop an automated FoG detector for subject independent. After extracting highly relevant features, we apply anomaly detection techniques to detect FoG events...
2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28184173/reliability-of-inertial-sensors-in-the-assessment-of-patients-with-vestibular-disorders-a-feasibility-study
#20
Sathish K Sankarpandi, Alice J Baldwin, Jaydip Ray, Claudia Mazzà
BACKGROUND: Vestibular disorders affect an individual's stability, balance, and gait and predispose them to falls. Traditional laboratory-based semi-objective vestibular assessments are intrusive and cumbersome provide little information about their functional ability. Commercially available wearable inertial sensors allow us to make this real life assessments objective, with a detailed view of their functional abilities. Timed Up and Go (TUG) and Postural Sway tests are commonly used tests for gait and balance assessments...
2017: BMC Ear, Nose, and Throat Disorders
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