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https://www.readbyqxmd.com/read/29219882/concordance-of-motion-sensor-and-clinician-rated-fall-risk-scores-in-older-adults
#1
(no author information available yet)
No abstract text is available yet for this article.
December 2017: Computers, Informatics, Nursing: CIN
https://www.readbyqxmd.com/read/29216303/three-dimensional-self-gated-cardiac-mr-imaging-for-the-evaluation-of-myocardial-infarction-in-mouse-model-on-a-3t-clinical-mr-system
#2
Xiaoyong Zhang, Bensheng Qiu, Zijun Wei, Fei Yan, Caiyun Shi, Shi Su, Xin Liu, Jim X Ji, Guoxi Xie
PURPOSE: To develop and assess a three-dimensional (3D) self-gated technique for the evaluation of myocardial infarction (MI) in mouse model without the use of external electrocardiogram (ECG) trigger and respiratory motion sensor on a 3T clinical MR system. METHODS: A 3D T1-weighted GRE sequence with stack-of-stars sampling trajectories was developed and performed on six mice with MIs that were injected with a gadolinium-based contrast agent at a 3T clinical MR system...
2017: PloS One
https://www.readbyqxmd.com/read/29198349/editorial-commentary-technical-skill-in-arthroscopic-simulation-training-are-wearable-motion-sensors-a-step-forward
#3
EDITORIAL
Robert A Pedowitz
Wearable inertial sensors can be used for assessment of surgeon body motion during arthroscopy, with demonstrated macroergonomic differences observed between novices and experts during diagnostic arthroscopy of a right cadaver knee. Before the adoption of arthroscopy training benchmarks based on inertial sensor technology, validation research should cross-correlate ergonomic variables with surgical quality.
December 2017: Arthroscopy: the Journal of Arthroscopic & related Surgery
https://www.readbyqxmd.com/read/29185771/centimeter-long-single-crystalline-si-nanowires
#4
Bing-Chang Zhang, Hui Wang, Le He, Cai-Jun Zheng, Jiansheng Jie, Yeshayahu Lifshitz, Shuit-Tong Lee, Xiao-Hong Zhang
The elongation of free-standing one-dimensional (1D) functional nanostructures into lengths above the millimeter range has brought new practical applications as they combine the remarkable properties of nanostructured materials with macroscopic lengths. However, it remains a big challenge to prepare 1D silicon nanostructures, one of the most important 1D nanostructures, with lengths above the millimeter range. Here we report the unprecedented preparation of ultra-long single-crystalline Si nanowires with length up to 2 cm, which can function as the smallest active material to facilitate the miniaturization of macroscopic devices...
November 29, 2017: Nano Letters
https://www.readbyqxmd.com/read/29157315/botulinum-toxin-type-a-injections-as-monotherapy-for-upper-limb-essential-tremor-using-kinematics
#5
Olivia Samotus, Niraj Kumar, Philippe Rizek, Mandar Jog
BACKGROUND: There is a significant need for a targeted therapy for essential tremor (ET), as medications have not been developed specifically for ET, and the ones prescribed are often not well-tolerated, so that many patients remain untreated. Recent work has shown that, unlike previous experience, kinematically guided individualized botulinum toxin type A (BoNT-A) injections provide benefit along with minimal weakness. Ours is the first long-term (96-week) safety and efficacy study of BoNT-A as monotherapy for ET using kinematically driven injection parameters...
November 21, 2017: Canadian Journal of Neurological Sciences. le Journal Canadien des Sciences Neurologiques
https://www.readbyqxmd.com/read/29127280/electrostrictive-microelectromechanical-fibres-and-textiles
#6
Tural Khudiyev, Jefferson Clayton, Etgar Levy, Noémie Chocat, Alexander Gumennik, Alexander M Stolyarov, John Joannopoulos, Yoel Fink
Microelectromechanical systems (MEMS) enable many modern-day technologies, including actuators, motion sensors, drug delivery systems, projection displays, etc. Currently, MEMS fabrication techniques are primarily based on silicon micromachining processes, resulting in rigid and low aspect ratio structures. In this study, we report on the discovery of MEMS functionality in fibres, thereby opening a path towards flexible, high-aspect ratio, and textile MEMS. The method used for generating these MEMS fibres leverages a preform-to-fibre thermal drawing process, in which the MEMS architecture and materials are embedded into a preform and drawn into kilometers of microstructured multimaterial fibre devices...
November 10, 2017: Nature Communications
https://www.readbyqxmd.com/read/29062629/smart-braid-feedback-for-the-closed-loop-control-of-soft-robotic-systems
#7
Wyatt Felt, Khai Yi Chin, C David Remy
This article experimentally investigates the potential of using flexible, inductance-based contraction sensors in the closed-loop motion control of soft robots. Accurate motion control remains a highly challenging task for soft robotic systems. Precise models of the actuation dynamics and environmental interactions are often unavailable. This renders open-loop control impossible, while closed-loop control suffers from a lack of suitable feedback. Conventional motion sensors, such as linear or rotary encoders, are difficult to adapt to robots that lack discrete mechanical joints...
September 1, 2017: Soft Robotics
https://www.readbyqxmd.com/read/29060950/fuzzy-logic-based-mobile-computing-system-for-hand-rehabilitation-after-neurological-injury
#8
Yu-Hsien Chiu, Tien-Wen Chen, Yenming J Chen, Ching-I Su, Kao-Shing Hwang, Wen-Hsien Ho
BACKGROUND: Effective neurological rehabilitation requires long term assessment and treatment. The rapid progress of virtual reality-based assistive technologies and tele-rehabilitation has increased the potential for self-rehabilitation of various neurological injuries under clinical supervision. OBJECTIVE: The objective of this study was to develop a fuzzy inference mechanism for a smart mobile computing system designed to support in-home rehabilitation of patients with neurological injury in the hand by providing an objective means of self-assessment...
October 13, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/29060912/motion-oriented-noisy-physiological-signal-refining-using-embedded-sensing-platforms
#9
Jaeyeon Park, Woojin Nam, Tae Young Kim, Sukhoon Lee, Dukyong Yoon, JeongGil Ko
Recent improvements in data learning techniques have catalyzed the development of various clinical learning systems. However, for clinical applications, training from noisy data can cause significant misleading results, directly leading to potentially dangerous clinical decisions. Given its importance, this work targets to present a preliminary effort to identify corrupted vital sign data by analyzing the patient motions on hospital beds. Specifically, we design an embedded sensor-based motion detection platform to capture and categorize different noise-causing motion on intensive care unit beds through a pre-deployment study at the Ajou University Hospital...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060387/wearable-ppg-sensor-based-alertness-scoring-system
#10
Jishnu Dey, Tanmoy Bhowmik, Saswata Sahoo, Vijay Narayan Tiwari
Quantifying mental alertness in today's world is important as it enables the person to adopt lifestyle changes for better work efficiency. Miniaturized sensors in wearable devices have facilitated detection/monitoring of mental alertness. Photoplethysmography (PPG) sensors through Heart Rate Variability (HRV) offer one such opportunity by providing information about one's daily alertness levels without requiring any manual interference from the user. In this paper, a smartwatch based alertness estimation system is proposed...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060383/gait-speed-estimation-using-kalman-filtering-on-inertial-measurement-unit-data
#11
Md Nafiul Alam, Tamanna Tabassum Khan Munia, Reza Fazel-Rezai
Gait speed measurement is vital for diagnosis of motor disorder and monitoring the progress of patient rehabilitation. This study presents an algorithm for moderate distance gait speed measurement from data acquired with inertial motion sensors comprised of a tri-axial accelerometer and a tri-axial gyroscope. Gait speed was measured in four different speed levels set by a treadmill: 0.5, 1, 2, and 3 miles/hour. The calculated speed was tuned by implementing Kalman Filter. The performance of the proposed algorithm was evaluated by calculating the mean square error between estimated speed and the actual treadmill speed...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060379/iot-m2m-wearable-based-activity-calorie-monitoring-and-analysis-for-elders
#12
Sabrina I Soraya, Ting-Hui Chiang, Guo-Jing Chan, Yi-Juan Su, Chih-Wei Yi, Yu-Chee Tseng, Yu-Tai Ching
With the growth of aging population, elder care service has become an important part of the service industry of Internet of Things. Activity monitoring is one of the most important services in the field of the elderly care service. In this paper, we proposed a wearable solution to provide an activity monitoring service on elders for caregivers. The system uses wireless signals to estimate calorie burned by the walking and localization. In addition, it also uses wireless motion sensors to recognize physical activity, such as drinking and restroom activity...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060080/quantitative-assessment-test-for-upper-limb-motor-function-by-using-emg-and-kinematic-analysis-in-the-practice-of-occupational-therapy
#13
Jinuk Kim, Hyeonseok Kim, Jaehyo Kim
This paper proposes a quantitative assessment test of stroke patients' upper limb motor functions during occupational therapy. Conventional assessments are performed based on therapists' observations and subjective judgments which make it hard to recognize the qualitative functional changes. To suggest quantitative function indices, we measured electromyogram and kinematic parameters from 6 stroke patients during the `stacking cones' task and the `ROM arc' task using motion sensors and EMG sensor attached on the brachial, and analyzed motor functions...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29057812/sensor-data-fusion-for-multi-person-indoor-location-estimation
#14
Parisa Mohebbi, Eleni Stroulia, Ioanis Nikolaidis
We consider the problem of estimating the location of people as they move and work in indoor environments. More specifically, we focus on the scenario where one of the persons of interest is unable or unwilling to carry a smartphone, or any other "wearable" device, which frequently arises in caregiver/cared-for situations. We consider the case of indoor spaces populated with anonymous binary sensors (Passive Infrared motion sensors) and eponymous wearable sensors (smartphones interacting with Estimote beacons), and we propose a solution to the resulting sensor-fusion problem...
October 18, 2017: Sensors
https://www.readbyqxmd.com/read/29053608/the-multi-parameter-wireless-sensing-system-mpwise-its-description-and-application-to-earthquake-risk-mitigation
#15
Tobias Boxberger, Kevin Fleming, Massimiliano Pittore, Stefano Parolai, Marco Pilz, Stefan Mikulla
The Multi-Parameter Wireless Sensing (MPwise) system is an innovative instrumental design that allows different sensor types to be combined with relatively high-performance computing and communications components. These units, which incorporate off-the-shelf components, can undertake complex information integration and processing tasks at the individual unit or node level (when used in a network), allowing the establishment of networks that are linked by advanced, robust and rapid communications routing and network topologies...
October 20, 2017: Sensors
https://www.readbyqxmd.com/read/29039378/dna-encoding-training-using-3d-gesture-interaction
#16
Stelian Nicola, Flavia-Laura Handrea, Mihaela Crişan-Vida, Lăcrămioara Stoicu-Tivadar
The work described in this paper summarizes the development process and presents the results of a human genetics training application, studying the 20 amino acids formed by the combination of the 3 nucleotides of DNA targeting mainly medical and bioinformatics students. Currently, the domain applications using recognized human gestures of the Leap Motion sensor are used in molecules controlling and learning from Mendeleev table or in visualizing the animated reactions of specific molecules with water. The novelty in the current application consists in using the Leap Motion sensor creating new gestures for the application control and creating a tag based algorithm corresponding to each amino acid, depending on the position in the 3D virtual space of the 4 nucleotides of DNA and their type...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/29032614/quantification-of-the-effect-of-instrumentation-error-in-objective-gait-assessment-in-the-horse-on-hindlimb-symmetry-parameters
#17
F M Serra Bragança, M Rhodin, T Wiestner, E Hernlund, T Pfau, P R van Weeren, M A Weishaupt
BACKGROUND: Objective gait-analysis is becoming more popular as a tool assisting veterinarians during the clinical lameness exam. At present, there is only limited information on the effect of misplacement of markers/motion-sensors. OBJECTIVES: To investigate and describe the effect of marker misplacement on commonly calculated pelvic symmetry parameters. STUDY DESIGN: Experimental study. METHODS: Each horse was equipped with custom-made devices consisting of several reflective markers arranged in a predefined manner with a reference marker correctly positioned regarding the anatomical landmark and several misplaced markers along the sagittal and transverse planes...
October 15, 2017: Equine Veterinary Journal
https://www.readbyqxmd.com/read/28976978/activity-recognition-with-wearable-sensors-on-loose-clothing
#18
Brendan Michael, Matthew Howard
Observing human motion in natural everyday environments (such as the home), has evoked a growing interest in the development of on-body wearable sensing technology. However, wearable sensors suffer from motion artefacts introduced by the non-rigid attachment of sensors to the body, and the prevailing view is that it is necessary to eliminate these artefacts. This paper presents findings that suggest that these artefacts can, in fact, be used to distinguish between similar motions, by exploiting additional information provided by the fabric motion...
2017: PloS One
https://www.readbyqxmd.com/read/28973958/improving-the-accuracy-of-direct-geo-referencing-of-smartphone-based-mobile-mapping-systems-using-relative-orientation-and-scene-geometric-constraints
#19
Naif M Alsubaie, Ahmed A Youssef, Naser El-Sheimy
This paper introduces a new method which facilitate the use of smartphones as a handheld low-cost mobile mapping system (MMS). Smartphones are becoming more sophisticated and smarter and are quickly closing the gap between computers and portable tablet devices. The current generation of smartphones are equipped with low-cost GPS receivers, high-resolution digital cameras, and micro-electro mechanical systems (MEMS)-based navigation sensors (e.g., accelerometers, gyroscopes, magnetic compasses, and barometers)...
September 30, 2017: Sensors
https://www.readbyqxmd.com/read/28973149/evaluation-of-stapp-a-smartphone-based-intervention-to-reduce-prolonged-sitting-among-belgian-adults
#20
Anass Arrogi, An Bogaerts, Jan Seghers, Karlien Devloo, Vero Vanden Abeele, Luc Geurts, Jeroen Wauters, Filip Boen
Excessive uninterrupted sitting, also known as sedentary behavior, has been detrimentally associated with several health outcomes. However, the general population is often unaware of these health risks. Mobile phone technology offers great potential to increase awareness and to initiate behavior change. This study examined the short-term effects of stAPP, a smartphone-based intervention, on prolonged sitting behavior. Fifty-eight participants were randomly assigned to an intervention group (IG, n = 31) or a control group (CG, n = 27)...
September 6, 2017: Health Promotion International
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