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"Sensors" "gait" "falls"

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
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
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
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
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
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
Silvia Del Din, Alan Godfrey, Claudia Mazzà, Sue Lord, Lynn Rochester
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the body and/or paired with mobile devices (eg, smart phones) allowing continuous patient monitoring in unsupervised, habitual environments (termed free-living). Wearable technologies are revolutionizing approaches to health care as a result of their utility, accessibility, and affordability. They are positioned to transform Parkinson's disease (PD) management through the provision of individualized, comprehensive, and representative data...
September 2016: Movement Disorders: Official Journal of the Movement Disorder Society
Maayan Agmon, Tamar Shochat, Rachel Kizony
OBJECTIVES: The objective of this study was to assess the relationship between sleep behavior and gait performance under single-task (ST) and dual-task (DT) walking conditions in community- dwelling older adults. METHODS: Walking under ST and DT conditions was evaluated in 34 community-dwelling older adults, 64.7% women, mean age 71.5 (SD±5.8). Gait-speed and gait-variability data were collected using the OPAL wearable sensors of the Mobility Lab. Sleep behavior (sleep efficiency [SE] and sleep latency [SL]) was assessed using actigraphy, over 5 consecutive nights...
September 2016: Gait & Posture
Wann-Yun Shieh, Yan-Ying Ju, Yu-Chun Yu, Che-Kuan Lin, Yen-Tzu Lin, Hsin-Yi Kathy Cheng
Most individuals with intellectual disabilities (ID) demonstrate problems in learning and movement coordination. Consequently, they usually have difficulties in activities such as standing, walking, and stair climbing. To monitor the physical impairments of these children, regular gross motor evaluation is crucial. Straight-line level walking is the most frequently used test of their mobility. However, numerous studies have found that unless the children have multiple disabilities, no significant differences can be found between the children with ID and typically-developed children in this test...
2016: Sensors
Dennis Hamacher, Daniel Hamacher, Fabian Herold, Lutz Schega
The control of minimum toe clearance (MTC, as quantified with its stride-to-stride variability during walking) is a promising marker to evaluate motor control. The control of MTC, compared to other gait parameters, was reported to have higher priority. The relationship between the control of MTC and other gait parameters should be examined to elucidate tripping mechanisms. This study aimed at investigating the variability of MTC, stride time and stride length in normal walking and in dual-task walking in back pain sufferers...
September 2016: Gait & Posture
Kimberley S van Schooten, Mirjam Pijnappels, Sietse M Rispens, Petra J M Elders, Paul Lips, Andreas Daffertshofer, Peter J Beek, Jaap H van Dieën
Falls can have devastating consequences for older people. We determined the relationship between the likelihood of fall incidents and daily-life behavior. We used wearable sensors to assess habitual physical activity and daily-life gait quality (in terms of e.g. stability, variability, smoothness and symmetry), and determined their predictive ability for time-to-first-and-second-falls. 319 older people wore a trunk accelerometer (Dynaport MoveMonitor, McRoberts) during one week. Participants further completed questionnaires and performed grip strength and trail making tests to identify risk factors for falls...
2016: PloS One
Christopher Moufawad El Achkar, Constanze Lenoble-Hoskovec, Kristof Major, Anisoara Paraschiv-Ionescu, Christophe Büla, Kamiar Aminian
Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Configurations with many sensors are generally accurate but cumbersome, whereas single sensors tend to have lower accuracies. To this end, we propose an instrumented shoes system capable of accurate activity classification and gait analysis that contains sensors located entirely at the level of the shoes...
2016: Studies in Health Technology and Informatics
Simone V Gill, Michael K Walsh, Jacob A Pratt, Nima Toosizadeh, Bijan Najafi, Thomas G Travison
BACKGROUND: Obesity has a negative impact on motor function, leading to an increase in fall risk. Massive weight loss improves some aspects of gait on flat ground. However, we have little information about whether gait changes during flat-ground walking and during more complex motor tasks beyond flat-ground walking. OBJECTIVES: Our objectives were to examine how massive weight loss after Roux-en-Y bariatric surgery affects gait during flat-ground walking and obstacle crossing 1 year postsurgery...
June 2016: Surgery for Obesity and related Diseases: Official Journal of the American Society for Bariatric Surgery
Nise Ribeiro Marques, Camilla Zamfolini Hallal, Deborah Hebling Spinoso, Mary Hellen Morcelli, Luciano Fernandes Crozara, Mauro Gonçalves
BACKGROUND: The clinical assessment of gait variability may be a particularly powerful tool in the screening of older adults at risk of falling. Measurement of gait variability is important in the assessment of fall risk, but the variability metrics used to evaluate gait timing have not yet been adequately studied. OBJECTIVES: The aims of this study were (1) to identify the best mathematical method of gait variability analysis to discriminate older fallers and non-fallers and (2) to identify the best temporal, kinematic parameter of gait to discriminate between older fallers and non-fallers...
June 2, 2016: Aging Clinical and Experimental Research
Hong Lei, Nima Toosizadeh, Michael Schwenk, Scott Sherman, Stephan Karp, Esther Sternberg, Bijan Najafi
BACKGROUND: Gait disorder, a key contributor to fall and poor quality of life, represents a major therapeutic challenge in Parkinson's disease (PD). The efficacy of acupuncture for PD remains unclear, largely due to methodological flaws and lack of studies using objective outcome measures. OBJECTIVE: To objectively assess the efficacy of electroacupuncture (EA) for gait disorders using body-worn sensor technology in patients with PD. METHODS: In this randomized pilot study, both the patients and assessors were masked...
2016: PloS One
Hagar Bernad-Elazari, Talia Herman, Anat Mirelman, Eran Gazit, Nir Giladi, Jeffrey M Hausdorff
Body-fixed sensors (BFS), e.g., accelerometers worn for several days, can be used to augment the traditional clinical assessment. Long-term recordings obtained with BFS have been applied to study tremor, postural control, freezing of gait, turning abilities, motor response fluctuations and fall risk among older adults and patients with Parkinson's disease (PD). We aimed to test whether BFS-derived measures of transitions differ between patients with PD and healthy controls, and to evaluate whether there are differences among patients with mild PD, compared to more severe patients, and to controls...
August 2016: Journal of Neurology
M Jane Mohler, Christopher S Wendel, Ruth E Taylor-Piliae, Nima Toosizadeh, Bijan Najafi
BACKGROUND: Few studies of the association between prospective falls and sensor-based measures of motor performance and physical activity (PA) have evaluated subgroups of frailty status separately. OBJECTIVE: To evaluate wearable sensor-based measures of gait, balance, and PA that are predictive of future falls in community-dwelling older adults. METHODS: The Arizona Frailty Cohort Study in Tucson, Arizona, followed community-dwelling adults aged 65 years and over (without baseline cognitive deficit, severe movement disorders, or recent stroke) for falls over 6 months...
2016: Gerontology
Patricia Potter, Kelly Allen, Eileen Costantinou, Dean Klinkenberg, Jill Malen, Traci Norris, Elizabeth O'Connor, Wilhelmina Roney, Heidi Hahn Tymkew
BACKGROUND: Sensor technology offers a new way to identify patient movement, detect falls, and automatically alert health care staff when falls occur. The information gained from analyzing actual fall events can be beneficial in developing individualized fall prevention strategies, informing nursing staff about the nature of falls, and identifying opportunities to make the patient care environment safer. METHODS: A six-month performance improvement pilot was conducted at Barnes-Jewish Hospital (St...
May 2016: Joint Commission Journal on Quality and Patient Safety
Espen A F Ihlen, Aner Weiss, Alan Bourke, Jorunn L Helbostad, Jeffrey M Hausdorff
Complexity of human physiology and physical behavior has been suggested to decrease with aging and disease and make older adults more susceptible to falls. The present study investigates complexity in daily life walking in community-dwelling older adult fallers and non-fallers measured by a 3D inertial accelerometer sensor fixed to the lower back. Complexity was expressed using new metrics of entropy: refined composite multiscale entropy (RCME) and refined multiscale permutation entropy (RMPE). The study re-analyses data of 3 days daily-life activity originally described by Weiss et al...
June 14, 2016: Journal of Biomechanics
Jennifer Howcroft, Edward D Lemaire, Jonathan Kofman
Wearable sensors have potential for quantitative, gait-based, point-of-care fall risk assessment that can be easily and quickly implemented in clinical-care and older-adult living environments. This investigation generated models for wearable-sensor based fall-risk classification in older adults and identified the optimal sensor type, location, combination, and modelling method; for walking with and without a cognitive load task. A convenience sample of 100 older individuals (75.5 ± 6.7 years; 76 non-fallers, 24 fallers based on 6 month retrospective fall occurrence) walked 7...
2016: PloS One
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