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falls detection

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https://www.readbyqxmd.com/read/28238244/nt-probnp-as-a-potential-marker-of-left-atrial-dysfunction-in-rheumatic-mitral-stenosis-correlation-with-left-atrial-function-after-pbmv
#1
Rashi Khare, Sudhanshu Dwivedi
BACKGROUND: Rheumatic heart disease is a common reason for cardiovascular morbidity and mortality. Plasma levels of N-terminal pro-brain natriuretic peptide (NT-proBNP) are known to rise in patients with MS, but the role of this compound as a non-invasive marker of left atrial (LA) dysfunction is yet to be established. The study aim was to correlate levels of NT-proBNP in patients with rheumatic mitral stenosis (MS), with echocardiographic parameters of LA function including tissue Doppler-derived strain/strain rate (S/Sr) indices, hemodynamic parameters of LA function, before and after percutaneous balloon mitral valvotomy (PBMV) for a follow up of one year...
September 2016: Journal of Heart Valve Disease
https://www.readbyqxmd.com/read/28237714/application-of-data-fusion-techniques-and-technologies-for-wearable-health-monitoring
#2
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/28235814/differentiating-cognitive-impairment-due-to-corticobasal-degeneration-and-alzheimer-disease
#3
Gregory S Day, Tae Sung Lim, Jason Hassenstab, Alison M Goate, Elizabeth A Grant, Catherine M Roe, Nigel J Cairns, John C Morris
OBJECTIVE: To identify clinical features that reliably differentiate individuals with cognitive impairment due to corticobasal degeneration (CBD) and Alzheimer disease (AD). METHODS: Clinical features were compared between individuals with autopsy-proven CBD (n = 17) and AD (n = 16). All individuals presented with prominent cognitive complaints and were evaluated annually with semistructured interviews, detailed neurologic examinations, and neuropsychological testing...
February 24, 2017: Neurology
https://www.readbyqxmd.com/read/28228655/combination-of-btracks-and-geri-fit-as-a-targeted-approach-for-assessing-and-reducing-the-postural-sway-of-older-adults-with-high-fall-risk
#4
Daniel J Goble, Mason C Hearn, Harsimran S Baweja
Atypically high postural sway measured by a force plate is a known risk factor for falls in older adults. Further, it has been shown that small, but significant, reductions in postural sway are possible with various balance exercise interventions. In the present study, a new low-cost force-plate technology called the Balance Tracking System (BTrackS) was utilized to assess postural sway of older adults before and after 90 days of a well-established exercise program called Geri-Fit. Results showed an overall reduction in postural sway across all participants from pre- to post-intervention...
2017: Clinical Interventions in Aging
https://www.readbyqxmd.com/read/28228493/hepatitis-e-virus-detection-and-quantification-by-an-rt-qpcr-assay-calibrated-to-the-world-health-organization-standard-for-hev-rna
#5
Jeffrey J Germer, Irina Ankoudinova, Yevgeniy S Belousov, Walt Mahoney, Chen Dong, Jihong Meng, Jayawant N Mandrekar, Joseph D Yao
Hepatitis E virus (HEV) has emerged as a cause of chronic hepatitis among immunocompromised patients. Molecular assays have become important tools for the diagnosis and management of these chronically-infected patients. A reverse transcription, real-time PCR (RT-qPCR) assay utilizing Pleiades probe chemistry and an RNA internal control for simultaneous detection and quantification of HEV RNA in human serum was developed based on adaptation of a previously described and broadly reactive primer set targeting the overlapping open reading frame (ORF) 2/3 nucleotide sequence of HEV...
February 22, 2017: Journal of Clinical Microbiology
https://www.readbyqxmd.com/read/28227925/principal-component-analysis-can-decrease-neural-networks-performance-for-incipient-falls-detection-a-preliminary-study-with-hands-and-feet-accelerations
#6
Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera, Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls as quickly and reliably as possible. Blind source separation (BSS) methods are often used as a preprocessing step before classification, however the effects of BSS on classification performance are not well understood. The aim of this work is to preliminarily characterize the effect that two methods, namely Principal and Independent Component Analysis (PCA and ICA) and their combined use have on the performance of a neural network in detecting incipient falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227850/a-kalman-filter-to-estimate-altitude-change-during-a-fall
#7
Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Michael C Stevens, Wei Lu, Changhong Wang, Stephen J Redmond, Nigel H Lovell, Changhong Wang, Wei Lu, Stephen J Redmond, Nigel H Lovell, Michael C Stevens
Barometers have been incorporated into fall detectors in order to enhance the accuracy of fall detection algorithms, however they are power-hungry devices. We present an offline evaluation of a Kalman filter (KF) for estimating the pressure change during a fall that enables low-power operation of the barometer. The KF takes advantage of the fact that a semi-permeable air membrane on a waterproof fall detector enclosure causes a delay in the equilibrium between internal and external enclosure pressure, and this delay enables the barometer to be switched off until a free-fall is detected...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227723/balance-quality-assessment-as-an-early-indicator-of-physical-frailty-in-older-people
#8
Aly Chkeir, Doha Safieddine, D Bera, M Collart, J L Novella, M Drame, David J Hewson, Jacques Duchene, Aly Chkeir, Doha Safieddine, D Bera, M Collart, J L Novella, M Drame, David J Hewson, Jacques Duchene, J L Novella, David J Hewson, Jacques Duchene, M Collart, Aly Chkeir, D Bera, M Drame, Doha Safieddine
Frailty is an increasingly common geriatric condition that results in an increased risk of adverse health outcomes such as falls. The most widely-used means of detecting frailty is the Fried phenotype, which includes several objective measures such as grip strength and gait velocity. One method of screening for falls is to measure balance, which can be done by a range of techniques including the assessment of the Centre of Pressure (CoP) during a balance assessment. The Balance Quality Tester (BQT) is a device based on a commercial bathroom scale that can evaluate balance quality...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227720/can-we-make-a-carpet-smart-enough-to-detect-falls
#9
Fadi Muheidat, Harry W Tyrer, Fadi Muheidat, Harry W Tyrer, Harry W Tyrer, Fadi Muheidat
In this paper, we have enhanced smart carpet, which is a floor based personnel detector system, to detect falls using a faster but low cost processor. Our hardware front end reads 128 sensors, with sensors output a voltage due to a person walking or falling on the carpet. The processor is Jetson TK1, which provides more computing power than before. We generated a dataset with volunteers who walked and fell to test our algorithms. Data obtained allowed examining data frames (a frame is a single scan of the carpet sensors) read from the data acquisition system...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227707/estimation-of-muscle-fatigue-by-ratio-of-mean-frequency-to-average-rectified-value-from-surface-electromyography
#10
Jeffry Bonar Fernando, Mototaka Yoshioka, Jun Ozawa, Jeffry Bonar Fernando, Mototaka Yoshioka, Jun Ozawa, Mototaka Yoshioka, Jeffry Bonar Fernando, Jun Ozawa
A new method to estimate muscle fatigue quantitatively from surface electromyography (EMG) is proposed. The ratio of mean frequency (MNF) to average rectified value (ARV) is used as the index of muscle fatigue, and muscle fatigue is detected when MNF/ARV falls below a pre-determined or pre-calculated baseline. MNF/ARV gives larger distinction between fatigued muscle and non-fatigued muscle. Experiment results show the effectiveness of our method in estimating muscle fatigue more correctly compared to conventional methods...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227589/uhf-wearable-battery-free-sensor-module-for-activity-and-falling-detection
#11
Nam Trung Dang, Thang Viet Tran, Wan-Young Chung, Nam Trung Dang, Thang Viet Tran, Wan-Young Chung, Thang Viet Tran, Wan-Young Chung, Nam Trung Dang
Falling is one of the most serious medical and social problems in aging population. Therefore taking care of the elderly by detecting activity and falling for preventing and mitigating the injuries caused by falls needs to be concerned. This study proposes a wearable, wireless, battery free ultra-high frequency (UHF) smart sensor tag module for falling and activity detection. The proposed tag is powered by UHF RF wave from reader and read by a standard UHF Electronic Product Code (EPC) Class-1 Generation-2 reader...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227321/fall-detection-algorithms-for-real-world-falls-harvested-from-lumbar-sensors-in-the-elderly-population-a-machine-learning-approach
#12
Alan K Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A F Ihlen, Sabato Mellone, Jorunn L Helbostad, Lorenzo Chiari, Clemens Becker, Alan K Bourke, Jochen Klenk, Lars Schwickert, Kamiar Aminian, Espen A F Ihlen, Sabato Mellone, Jorunn L Helbostad, Lorenzo Chiari, Clemens Becker, Lorenzo Chiari, Lars Schwickert, Kamiar Aminian, Clemens Becker, Jorunn L Helbostad, Jochen Klenk, Alan K Bourke, Sabato Mellone, Espen A F Ihlen
Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory studies inertial sensor technology has been shown capable of distinguishing falls from normal activities. However less than 7% of fall-detection algorithm studies have used fall data recorded from elderly people in real life. The FARSEEING project has compiled a database of real life falls from elderly people, to gain new knowledge about fall events and to develop fall detection algorithms to combat the problems associated with falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227174/two-threshold-energy-based-fall-detection-using-a-triaxial-accelerometer
#13
Angela Sucerquia, Jose D Lopez, Francisco Vargas, Angela Sucerquia, Jose D Lopez, Francisco Vargas, Angela Sucerquia, Francisco Vargas, Jose D Lopez
Elderly fall detection based on accelerometers is an active research area. Nowadays authors are addressing specific problems such as failure rates and energy consumption, but in most cases their strategies do not conciliate these objectives. In this paper we propose a double threshold based methodology with two novel detection features, a product between the sum vector magnitude and the signal magnitude area, and a normalization of the signal magnitude area over five 1 s windows. The methodology was validated using the public Mobifall dataset, and one developed for this work...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226938/a-wearable-skin-stretch-haptic-feedback-device-towards-improving-balance-control-in-lower-limb-amputees
#14
M A B Husman, H F Maqbool, M I Awad, A Abouhossein, A A Dehghani-Sanij, M A B Husman, H F Maqbool, M I Awad, A Abouhossein, A A Dehghani-Sanij, A Abouhossein, A A Dehghani-Sanij, M A B Husman, M I Awad, H F Maqbool
Haptic feedback to lower limb amputees is essential to maximize the functionality of a prosthetic device by providing information to the user about the interaction with the environment and the position of the prostheses in space. Severed sensory pathway and the absence of connection between the prosthesis and the Central Nervous System (CNS) after lower limb amputation reduces balance control, increases visual dependency and increases risk of falls among amputees. This work describes the design of a wearable haptic feedback device for lower limb amputees using lateral skin-stretch modality intended to serve as a feedback cue during ambulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226913/low-power-operation-of-a-barometric-pressure-sensor-for-use-in-an-automatic-fall-detector
#15
Wei Lu, Changhong Wang, Michael C Stevens, Stephen J Redmond, Nigel H Lovell, Wei Lu, Changhong Wang, Michael C Stevens, Stephen J Redmond, Nigel H Lovell, Changhong Wang, Nigel H Lovell, Wei Lu, Stephen J Redmond, Michael C Stevens
The use of a barometric pressure sensor in a wearable fall detector has been shown to improve the detection accuracy by determining the altitude change associated with the fall event. However, the barometer is a high-power-consuming sensor. This paper proposes a fall detection approach using a hermetically sealed and waterproof enclosure incorporating a small window covered by a semi-permeable membrane (SPM) to delay the equilibrium of internal and external pressures. This feature can be utilized to limit the time the barometer is powered but still capturing critical pressure information to discriminate fall and non-fall events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226832/detection-of-compensatory-balance-responses-using-wearable-electromyography-sensors-for-fall-risk-assessment
#16
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/28226814/detection-of-gait-initiation-failure-in-parkinson-s-disease-patients-using-eeg-signals
#17
Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Quynh Tran Ly, A M Ardi Handojoseno, Moran Gilat, Nghia Nguyen, Rifai Chai, Yvonne Tran, Simon J G Lewis, Hung T Nguyen, Nghia Nguyen, A M Ardi Handojoseno, Moran Gilat, Hung T Nguyen, Yvonne Tran, Simon J G Lewis, Quynh Tran Ly, Rifai Chai
Gait Initiation Failure (GIF) is one of the most disabling gait disturbances seen in advanced Parkinson's disease (PD). Gait Initiation is a complex motor task that requires motor and cognitive processing to enable the correct selection, timing and scaling of movement. Failure to initiate the first step often precipitates falls and leads to significant morbidity. However, the brain mechanisms underlying GIF remain unknown. This study utilized an ambulatory electroencephalography (EEG) technique to investigate the brain dynamic changes underlying GIF and aims to detect the occurrence of GIF in four PD patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226607/fall-risk-probability-estimation-based-on-supervised-feature-learning-using-public-fall-datasets
#18
Gregory A Koshmak, Maria Linden, Amy Loutfi, Gregory A Koshmak, Maria Linden, Amy Loutfi, Gregory A Koshmak, Maria Linden
Risk of falling is considered among major threats for elderly population and therefore started to play an important role in modern healthcare. With recent development of sensor technology, the number of studies dedicated to reliable fall detection system has increased drastically. However, there is still a lack of universal approach regarding the evaluation of developed algorithms. In the following study we make an attempt to find publicly available fall datasets and analyze similarities among them using supervised learning...
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
#19
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/28226563/real-time-measures-of-context-to-improve-fall-detection-models
#20
Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel
Real-time fall detection has been a challenging area of research and even more challenging as a viable commercial service, given the need for near perfect classification algorithms. True fall events are rare is monitored data sets, whereas confounding events for automated algorithms are quite frequent. In this paper we describe a decision theoretic approach to classification and alerting that incorporates context, such as location and activities, to improve probability and utility estimates for new classes, including near falls and known confounding events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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