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"Sensors" "gait" "falls"

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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
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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...
March 1, 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
#7
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
#8
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
#9
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
#10
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
#11
Thuy T Pham, Steven T Moore, Simon J G 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 work, 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...
February 7, 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
#12
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
https://www.readbyqxmd.com/read/28176431/comparison-between-clinical-gait-and-daily-life-gait-assessments-of-fall-risk-in-older-people
#13
Matthew A Brodie, Milou J Coppens, Andreas Ejupi, Yves J Gschwind, Janneke Annegarn, Daniel Schoene, Rainer Wieching, Stephen R Lord, Kim Delbaere
AIM: Falls are a leading cause of disability in older people. Here we investigate if daily-life gait assessments are better than clinical gait assessments at discriminating between older people with and without a history of falls. METHODS: A total of 96 independent-living participants (age 75.5 ± 7.8) underwent sensorimotor, psychological and cognitive assessments, and the Timed Up and Go and 10-m walk tests. Participants wore a small pendant sensor device for a week in their home environment, from which the new remote assessments of daily-life gait were determined...
February 8, 2017: Geriatrics & Gerontology International
https://www.readbyqxmd.com/read/28151878/a-training-approach-to-improve-stepping-automaticity-while-dual-tasking-in-parkinson-s-disease-a-prospective-pilot-study
#14
Taylor Chomiak, Alexander Watts, Nicole Meyer, Fernando V Pereira, Bin Hu
BACKGROUND: Deficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT). METHODS: This was a 4-week prospective intervention pilot study...
February 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/27836806/hypometric-anticipatory-postural-adjustments-in-dystonia-are-not-affected-by-deep-brain-stimulation-of-globus-pallidus-internus
#15
Gregor Brecl Jakob, Olena Pelykh, Annika Plate, Zuzana Košutzká, Zvezdan Pirtošek, Maja Trošt, Joseph Ilmberger, Peter Valkovic, Jan H Mehrkens, Kai Bötzel
BACKGROUND: Dystonia is a movement disorder with patterned, directional, and often sustained muscle contractions that produce abnormal postures or repetitive movements. Deep brain stimulation (DBS) of the globus pallidus internus (GPi) is an effective and safe treatment for medically refractory dystonia. However, recent studies reported gait problems, gait freezing and falls in patients treated with DBS. Because these symptoms may point to deficient gait initiation processes, we systematically assessed the anticipatory postural adjustments (APAs) prior to stepping in dystonia patients with GPi-DBS...
January 1, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/27666186/quantifying-effects-of-age-on-balance-and-gait-with-inertial-sensors-in-community-dwelling-healthy-adults
#16
Jeong-Ho Park, Martina Mancini, Patricia Carlson-Kuhta, John G Nutt, Fay B Horak
Although balance and gait deteriorate as a person ages, it is unknown if all balance and gait measures change similarly across the adult age span. We developed the Instrumented Stand and Walk test (ISAW) to provide a quick quantification of key components of balance and walking: postural sway, anticipatory postural adjustments during step initiation, gait, and turning using body-worn, inertial sensors. Our aims were to characterize how different balance and gait measures change with age and to identify key age-related measures of mobility, in a wide age range of healthy, community-dwelling adults...
December 1, 2016: Experimental Gerontology
https://www.readbyqxmd.com/read/27494305/mobile-inertial-sensor-based-gait-analysis-validity-and-reliability-of-spatiotemporal-gait-characteristics-in-healthy-seniors
#17
Lars Donath, Oliver Faude, Eric Lichtenstein, Geert Pagenstert, Corina Nüesch, Annegret Mündermann
Gait analysis is commonly used to identify gait changes and fall risk in clinical populations and seniors. Body-worn inertial sensor based gait analyses provide a feasible alternative to optometric and pressure based measurements of spatiotemporal gait characteristics. We assessed validity and relative and absolute reliability of a body-worn inertial sensor system (RehaGait(®)) for measuring spatiotemporal gait characteristics compared to a standard stationary treadmill (Zebris(®)). Spatiotemporal gait parameters (walking speed, stride length, cadence and stride time) were collected for 24 healthy seniors (age: 75...
September 2016: Gait & Posture
https://www.readbyqxmd.com/read/27474948/exploring-the-feasibility-and-acceptability-of-sensor-monitoring-of-gait-and-falls-in-the-homes-of-persons-with-multiple-sclerosis
#18
Pamela Newland, Joanne M Wagner, Amber Salter, Florian P Thomas, Marjorie Skubic, Marilyn Rantz
Gait parameters variability and falls are problems for persons with MS and have not been adequately captured in the home. Our goal was to explore the feasibility and acceptability of monitoring of gait and falls in the homes of persons with MS over a period of 30 days. To test the feasibility of measuring gait and falls for 30days in the home of persons with MS, spatiotemporal gait parameters stride length, stride time, and gait speed were compared. A 3D infrared depth imaging system has been developed to objectively measure gait and falls in the home environment...
September 2016: Gait & Posture
https://www.readbyqxmd.com/read/27470677/using-embedded-sensors-in-independent-living-to-predict-gait-changes-and-falls
#19
Lorraine J Phillips, Chelsea B DeRoche, Marilyn Rantz, Gregory L Alexander, Marjorie Skubic, Laurel Despins, Carmen Abbott, Bradford H Harris, Colleen Galambos, Richelle J Koopman
This study explored using big data, totaling 66 terabytes over 10 years, captured from sensor systems installed in independent living apartments to predict falls from pre-fall changes in residents' Kinect-recorded gait parameters. Over a period of 3 to 48 months, we analyzed gait parameters continuously collected for residents who actually fell (n = 13) and those who did not fall (n = 10). We analyzed associations between participants' fall events (n = 69) and pre-fall changes in in-home gait speed and stride length (n = 2,070)...
July 27, 2016: Western Journal of Nursing Research
https://www.readbyqxmd.com/read/27459101/dual-task-gait-performance-in-frail-individuals-with-and-without-mild-cognitive-impairment
#20
Alicia Martínez-Ramírez, Ion Martinikorena, Pablo Lecumberri, Marisol Gómez, Nora Millor, Alvaro Casas-Herrero, Fabrício Zambom-Ferraresi, Mikel Izquierdo
BACKGROUND: Several studies have stated that frailty is associated with cognitive impairment. Based on various studies, cognition impairment has been considered as a component of frailty. Other authors have shown that physical frailty is associated with low cognitive performance. Dual task gait tests are used as a strong predictor of falls in either dementia or frailty. Consequently, it is important to investigate dual task walking tests in elderly populations including control robust oldest old, frail oldest old with mild cognitive impairment (MCI) and frail oldest old without MCI...
2016: Dementia and Geriatric Cognitive Disorders
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