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"Accelerometer" "falls"

Myung Kim, Seung-Kil Lim, Sohee Shin, Jae-Hyun Lee
We examined the effects of objectively measured physical activity (PA) and physical fitness (PF) on fear of falling (FOF) among older adults. The subjects were 94 Korean females aged 65-79. PA was measured with accelerometers, PF with the senior fitness test and FOF with the Korean Survey of Activities and Fear of Falling in the Elderly. With the subjects' age, number of chronic conditions, and history of falls included as correction factors, a multiple regression analysis showed that PA (P=0.016) and agility/dynamic balance measured by the 8-foot up-and-go test (UNG) (P=0...
October 2016: Journal of Exercise Rehabilitation
Jochen Klenk, Lars Schwickert, Luca Palmerini, Sabato Mellone, Alan Bourke, Espen A F Ihlen, Ngaire Kerse, Klaus Hauer, Mirjam Pijnappels, Matthis Synofzik, Karin Srulijes, Walter Maetzler, Jorunn L Helbostad, Wiebren Zijlstra, Kamiar Aminian, Christopher Todd, Lorenzo Chiari, Clemens Becker
BACKGROUND: Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the FARSEEING (FAll Repository for the design of Smart and sElf-adaptive Environments prolonging Independent livinG) consortium and associated partners started to build up a meta-database of real-world falls. RESULTS: Between January 2012 and December 2015 more than 300 real-world fall events have been recorded...
2016: European Review of Aging and Physical Activity
Nabil Zerrouki, Fouzi Harrou, Ying Sun, Amrane Houacine
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on accelerometric data and variations in human silhouette shape. First, we use the exponentially weighted moving average (EWMA) monitoring scheme to detect a potential fall in the accelerometric data. We used an EWMA to identify features that correspond with a particular type of fall allowing us to classify falls. Only features corresponding with detected falls were used in the classification phase...
December 2016: Journal of Medical Systems
Kazuhiro Harada, Hyuntae Park, Sangyoon Lee, Hiroyuki Shimada, Daisuke Yoshida, Yuya Anan, Takao Suzuki
This study examined associations between perceived neighborhood environment and physical activity among frail older adults and whether these associations are moderated by fear of falling. Participants were 238 frail older adults. Daily step counts and duration of moderate-to-vigorous physical activity were measured using an accelerometer. Participants completed the abbreviated Neighborhood Environment Walkability Scale; fear of falling and demographic and health-related factors were measured by a questionnaire...
September 6, 2016: Journal of Aging and Physical Activity
Mario Munoz-Organero, Ahmad Lotfi
Human activity recognition algorithms based on information obtained from wearable sensors are successfully applied in detecting many basic activities. Identified activities with time-stationary features are characterised inside a predefined temporal window by using different machine learning algorithms on extracted features from the measured data. Better accuracy, precision and recall levels could be achieved by combining the information from different sensors. However, detecting short and sporadic human movements, gestures and actions is still a challenging task...
2016: Sensors
C Sunday, N Murdoch, O Cherrier, S Morales Serrano, C Valeria Nardi, T Janin, I Avila Martinez, Y Gourinat, D Mimoun
This work presents an experimental design for studying low-velocity collisions into granular surfaces in low-gravity. In the experiment apparatus, reduced-gravity is simulated by releasing a free-falling projectile into a surface container with a downward acceleration less than that of Earth's gravity. The acceleration of the surface is controlled through the use of an Atwood machine, or a system of pulleys and counterweights. The starting height of the surface container and the initial separation distance between the projectile and surface are variable and chosen to accommodate collision velocities up to 20 cm/s and effective accelerations of ∼0...
August 2016: Review of Scientific Instruments
C S Chan, S E Slaughter, C A Jones, A S Wagg
Few studies have measured the activity patterns of continuing care residents using objective, uniaxial, accelerometers such as the activPAL. This exploratory study described the activity performance of continuing care residents and explored the correlation of activity performance with grip strength, falls and mobility. Data were gathered from 24 continuing care residents. Participants (82.3 ± 5.8 years of age), wore the activPAL an average of 12.60 hours per day (SD = 0.96) and were stepping for a median of 0...
2016: Journal of Frailty & Aging
T Y Liu, Q P Wu, B Q Sun, F T Han
Drop tower is the most common ground-based facility to provide microgravity environment and widely used in many science experiments. A differential space accelerometer has been proposed to test the spin-gravity interaction between rotating extended bodies onboard a drag-free satellite. In order to assist design and test of this inertial sensor in a series of ground- based pre-flight experiments, it is very important to know accurately the residual acceleration of drop towers. In this report, a sensitive instrument for this purpose was built with a high-performance servo quartz accelerometer, and the dedicated interface electronics design providing small full-scale range and high sensitivity, up to 136...
2016: Scientific Reports
N Franco-Gendron, R Bergeron, W Curilla, S Conte, T DeVries, E Vasseur
Freestall dairy farms commonly present issues with cattle slips and falls caused by smooth flooring and manure slurry. This study examined the effect of 4 new methyl methacrylate (MMA) resin aggregate flooring types (1-4) compared with rubber (positive) and concrete (negative control) on dairy cow (n=18) ease of movement when walking on straight and right-angled corridors. Our hypothesis was that cow ease of movement when walking on the MMA surfaces would be better than when walking on traction milled concrete, and at least as good as when walking on rubber...
October 2016: Journal of Dairy Science
Fengtian Han, Tianyi Liu, Linlin Li, Qiuping Wu
The differential electrostatic space accelerometer is an equivalence principle (EP) experiment instrument proposed to operate onboard China's space station in the 2020s. It is designed to compare the spin-spin interaction between two rotating extended bodies and the Earth to a precision of 10(-12), which is five orders of magnitude better than terrestrial experiment results to date. To achieve the targeted test accuracy, the sensitive space accelerometer will use the very soft space environment provided by a quasi-drag-free floating capsule and long-time observation of the free-fall mass motion for integration of the measurements over 20 orbits...
2016: Sensors
E Hill, S Stuart, S Lord, S Del Din, L Rochester
INTRODUCTION: Impaired postural control (PC) is common in patients with Parkinson's disease (PD) and is a major contributor to falls, with significant consequences. Mechanisms underpinning PC are complex and include motor and non-motor features. Research has focused predominantly on motor and sensory inputs. Vision and visuo-cognitive function are also integral to PC but have largely been ignored to date. The aim of this observational cross-sectional pilot study was to explore the relationship of vision and visuo-cognition with PC in PD...
July 2016: Gait & Posture
Ahmet Turan Özdemir
Wearable devices for fall detection have received attention in academia and industry, because falls are very dangerous, especially for elderly people, and if immediate aid is not provided, it may result in death. However, some predictive devices are not easily worn by elderly people. In this work, a huge dataset, including 2520 tests, is employed to determine the best sensor placement location on the body and to reduce the number of sensor nodes for device ergonomics. During the tests, the volunteer's movements are recorded with six groups of sensors each with a triaxial (accelerometer, gyroscope and magnetometer) sensor, which is placed tightly on different parts of the body with special straps: head, chest, waist, right-wrist, right-thigh and right-ankle...
2016: Sensors
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
Jimikaye Beck, Christine A Chard, Carolin Hilzendegen, James Hill, Nanette Stroebele-Benschop
BACKGROUND: This study contributes to the literature by using accelerometers to describe sedentary behavior (SB) patterns in US children. The purpose of this study was to examine SB patterns in fifth-graders by specifically focusing on in-school versus out-of-school SB patterns to identify when (during the school day or outside of the school day) interventions should take place in order to decrease SB in children. METHODS: Data were collected from 206 fifth-graders (9-11 years old) in the Cherry Creek School District in metro Denver, Colorado (USA) during the spring of the 2010-2011 school year and fall of the 2011-2012 school year...
2016: BMC Obesity
Clare L Clarke, Judith Taylor, Linda J Crighton, James A Goodbrand, Marion E T McMurdo, Miles D Witham
BACKGROUND: Studying physical activity (PA) trends in older populations and potential interventions for increasing PA is important, as PA is a factor in many age-related health outcomes such as chronic disease, premature mortality, physical function and injuries from falls. Objective measures of PA provide valuable information regarding the functional impact that ageing and chronic disease states may have on a patient's life. AIMS: The purpose of this study was to test the validity of the AX3 PA monitor in an older population and to investigate whether the AX3 is a valid measure of distinct types or levels of activity in older people with a spectrum of mobility...
July 19, 2016: Aging Clinical and Experimental Research
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
Kota Hirai, Mayumi Enseki, Hideyuki Tabata, Mariko Nukaga, Shinichi Matsuda, Masahiko Kato, Hiroyuki Furuya, Hiroyuki Mochizuki
BACKGROUND: Although a number of patients with asthma report experiencing persistent cough during sleep, it has not yet been objectively investigated. OBJECTIVE: To classify cough severity and evaluate a characteristic pattern of cough frequency in children with asthma using an objective cough monitoring system. METHODS: An objective cough monitoring system that specialized in children was used to measure cough frequency and nocturnal cough patterns...
August 2016: Annals of Allergy, Asthma & Immunology
Ryan P Hubble, Peter A Silburn, Geraldine A Naughton, Michael H Cole
This cross-sectional study aimed to investigate the relationship between accelerometer-derived measures of movement rhythmicity and clinical measures of mobility, balance confidence and gait difficulty in people with Parkinson's disease (PD). Twenty-nine independently-living PD patients (Hoehn & Yahr Stages 1-3) with no history of significant injury or orthopaedic/deep brain stimulation surgery were recruited from a database of patients who had expressed an interest to participate in research. Participants completed clinical assessments of mobility, postural stability, balance confidence and symptom severity, while head and trunk rhythmicity was evaluated during gait using accelerometers...
September 2016: Gait & Posture
Asanga Wickramasinghe, Damith C Ranasinghe, Christophe Fumeaux, Keith D Hill, Renuka Visvanathan
Getting out of bed and ambulating without supervision is identified as one of the major causes of patient falls in hospitals and nursing homes. Therefore, increased supervision is proposed as a key strategy towards falls prevention. An emerging generation of batteryless, lightweight and wearable sensors are creating new possibilities for ambulatory monitoring, where the unobtrusive nature of such sensors makes them particularly adapted for monitoring older people. In this study, we investigate the use of a batteryless Radio Frequency Identification (RFID) tag response to analyze bed-egress movements...
June 2, 2016: IEEE Journal of Biomedical and Health Informatics
Martin Gjoreski, Hristijan Gjoreski, Mitja Luštrek, Matjaž Gams
Although wearable accelerometers can successfully recognize activities and detect falls, their adoption in real life is low because users do not want to wear additional devices. A possible solution is an accelerometer inside a wrist device/smartwatch. However, wrist placement might perform poorly in terms of accuracy due to frequent random movements of the hand. In this paper we perform a thorough, large-scale evaluation of methods for activity recognition and fall detection on four datasets. On the first two we showed that the left wrist performs better compared to the dominant right one, and also better compared to the elbow and the chest, but worse compared to the ankle, knee and belt...
2016: Sensors
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