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"Motion sensors"

Shinichi Furuya, Yuta Furukawa, Kazumasa Uehara, Takanori Oku
An integration of afferent sensory information from the visual, auditory, and proprioceptive systems into execution and update of motor programs plays crucial roles in control and acquisition of skillful sequential movements in musical performance. However, conventional behavioral and neurophysiological techniques that have been applied to study simplistic motor behaviors limit elucidating online sensorimotor integration processes underlying skillful musical performance. Here, we propose two novel techniques that were developed to investigate the roles of auditory and proprioceptive feedback in piano performance...
March 10, 2018: Annals of the New York Academy of Sciences
Aitziber Mancisidor, Asier Zubizarreta, Itziar Cabanes, Eva Portillo, Je Hyung Jung
In order to properly control rehabilitation robotic devices, the measurement of interaction force and motion between patient and robot is an essential part. Usually, however, this is a complex task that requires the use of accurate sensors which increase the cost and the complexity of the robotic device. In this work, we address the development of virtual sensors that can be used as an alternative of actual force and motion sensors for the Universal Haptic Pantograph (UHP) rehabilitation robot for upper limbs training...
March 5, 2018: Sensors
Danthanh Hoang, Nayaab Khawar, Maria George, Ashraf Gad, Farrah Sy, Pramod Narula
OBJECTIVE: To increase the hand-washing (HW) duration of staff and visitors in the NICU to a minimum of 20 seconds as recommended by the CDC. METHODS: Intervention included video didactic triggered by motion sensor to play above wash basin. Video enacted Centers for Disease Control and Prevention (CDC) HW technique in real time and displayed timer of 20 seconds. HW was reviewed from surveillance video. Swabs of hands plated and observed for qualitative growth (QG) of bacterial colonies...
February 6, 2018: Journal of Healthcare Risk Management: the Journal of the American Society for Healthcare Risk Management
Shota Yamada, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito
In this paper, we demonstrate an interactive, finger-sensitive system which enables an observer to intuitively handle electro-holographic images in real time. In this system, a motion sensor detects finger gestures (swiping and pinching) and translates them into the rotation and enlargement/reduction of the holographic image, respectively. By parallelising the hologram calculation using a graphics processing unit, we realised the interactive handling of the holographic image in real time. In a demonstration of the system, we used a Leap Motion sensor and a phase modulation-type spatial light modulator with 1,920 × 1,080 pixels and a pixel pitch of 8...
January 31, 2018: Scientific Reports
Brad Manor, Wanting Yu, Hao Zhu, Rachel Harrison, On-Yee Lo, Lewis Lipsitz, Thomas Travison, Alvaro Pascual-Leone, Junhong Zhou
BACKGROUND: Walking is a complex cognitive motor task that is commonly completed while performing another task such as talking or making decisions. Gait assessments performed under normal and "dual-task" walking conditions thus provide important insights into health. Such assessments, however, are limited primarily to laboratory-based settings. OBJECTIVE: The objective of our study was to create and test a smartphone-based assessment of normal and dual-task walking for use in nonlaboratory settings...
January 30, 2018: JMIR MHealth and UHealth
Andrew L Skinner, Christopher J Stone, Hazel Doughty, Marcus R Munafò
Introduction: Recent developments in smoking cessation support systems and interventions have highlighted the requirement for unobtrusive, passive ways to measure smoking behaviour. A number of systems have been developed for this that either use bespoke sensing technology, or expensive combinations of wearables and smartphones. Here we present StopWatch, a system for passive detection of cigarette smoking that runs on a low-cost smartwatch and does not require additional sensing or a connected smartphone...
January 24, 2018: Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco
(no author information available yet)
No abstract text is available yet for this article.
December 2017: Computers, Informatics, Nursing: CIN
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
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
Bing-Chang Zhang, Hui Wang, Le He, Cai-Jun Zheng, Jian-Sheng 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 ultralong 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...
December 13, 2017: Nano Letters
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...
January 2018: Canadian Journal of Neurological Sciences. le Journal Canadien des Sciences Neurologiques
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
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
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
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
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
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
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
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
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
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