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"Motion sensors"

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https://www.readbyqxmd.com/read/28431343/measurement-of-physical-activity-levels-in-the-intensive-care-unit-and-functional-outcomes-an-observational-study
#1
Lisa J Beach, Kate Fetterplace, Lara Edbrooke, Selina M Parry, Rachel Curtis, Thomas Rechnitzer, Sue Berney, Linda Denehy
PURPOSE: Primary aims were: (1) objectively quantify levels of physical activity with the sensewear armband mini-fly motion sensor (SWA-MF), (2) evaluate the correlation of SWA-MF measurement of active and resting energy expenditure against the ICU Mobility scale (IMS) and indirect calorimetry respectively. MATERIALS AND METHODS: Adults mechanically ventilated ≥48h and anticipated to remain in ICU≥5days were included. Physical activity (PA) was measured using a SWA-MF (over the first five days); energy expenditure was measured with both the SWA-MF and the Deltatrac II metabolic cart on day three; highest level of mobility was assessed on the IMS...
April 7, 2017: Journal of Critical Care
https://www.readbyqxmd.com/read/28426180/secondary-sensitivity-control-of-silver-nanowire-based-resistive-type-strain-sensors-by-geometric-modulation-of-the-elastomer-substrate
#2
Yunjeong Heo, Youngkyu Hwang, Hoon Sun Jung, Sung-Hoon Choa, Heung Cho Ko
A secondary method for modulation of the sensitivity in silver nanowire (AgNW) resistive-type strain sensors without the need to change the material or coating process in the sensory layer is demonstrated. Instead of using a planar elastomer (polydimethylsiloxane is used in this study) substrate, diverse relief structures are introduced to induce nonuniform and complex strain within the elastic substrate and thereby different distributions of the crack density of the AgNWs upon stretching, which plays an important role in the modulation of the gauge factor (GF)...
April 20, 2017: Small
https://www.readbyqxmd.com/read/28420129/hand-motion-detection-in-fnirs-neuroimaging-data
#3
Mohammadreza Abtahi, Amir Mohammad Amiri, Dennis Byrd, Kunal Mankodiya
As the number of people diagnosed with movement disorders is increasing, it becomes vital to design techniques that allow the better understanding of human brain in naturalistic settings. There are many brain imaging methods such as fMRI, SPECT, and MEG that provide the functional information of the brain. However, these techniques have some limitations including immobility, cost, and motion artifacts. One of the most emerging portable brain scanners available today is functional near-infrared spectroscopy (fNIRS)...
April 15, 2017: Healthcare (Basel, Switzerland)
https://www.readbyqxmd.com/read/28413945/body-machine-interface-enables-people-with-cervical-spinal-cord-injury-to-control-devices-with-available-body-movements-proof-of-concept
#4
Farnaz Abdollahi, Ali Farshchiansadegh, Camilla Pierella, Ismael Seáñez-González, Elias Thorp, Mei-Hua Lee, Rajiv Ranganathan, Jessica Pedersen, David Chen, Elliot Roth, Maura Casadio, Ferdinando Mussa-Ivaldi
This study tested the use of a customized body-machine interface (BoMI) for enhancing functional capabilities in persons with cervical spinal cord injury (cSCI). The interface allows people with cSCI to operate external devices by reorganizing their residual movements. This was a proof-of-concept phase 0 interventional nonrandomized clinical trial. Eight cSCI participants wore a custom-made garment with motion sensors placed on the shoulders. Signals derived from the sensors controlled a computer cursor. A standard algorithm extracted the combinations of sensor signals that best captured each participant's capacity for controlling a computer cursor...
May 2017: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/28385058/postural-sway-in-individuals-with-type-2-diabetes-and-concurrent-benign-paroxysmal-positional-vertigo
#5
Linda D'Silva, Patricia M Kluding, Susan L Whitney, Hongying Dai, Marcio Santos
BACKGROUND AND PURPOSE: Diabetes has been shown to affect the peripheral vestibular end organs and is associated with an increase in the frequency of benign paroxysmal positional vertigo (BPPV). People with diabetes have higher postural sway; however, the impact of symptomatic BPPV on postural sway in individuals with diabetes is unclear. The purpose of this cross-sectional study was to examine postural sway in people with type 2 diabetes who have symptomatic, untreated BPPV (BPPVDM)...
April 6, 2017: International Journal of Neuroscience
https://www.readbyqxmd.com/read/28356163/a-novel-system-for-continuous-real-time-monitoring-of-heart-motion-signals
#6
Guy Dori, Jorge E Schliamser, Oscar Lichtenstein, Ilia Anshelevich, Moshe Y Flugelman
BACKGROUND: Understanding cardiac mechanics is important for developing cardiac therapies. Current modalities for assessing cardiac mechanics sample patient's heart at specific heart rate, contractility, preload, and afterload. The objective of this study was to test the feasibility of a novel system composed of intra-cardiac leads equipped with an inertial module chip (3D accelerometers and 3D gyroscopes) in monitoring continuous heart motion. METHODS: In this descriptive study, four healthy pigs were anesthetized and instrumented with motion-sensitive intra-cardiac leads; the temporal correlation between signals from motion sensors and tissue Doppler from the chest wall were studied; changes in real-time heart accelerations (ACC) and angular velocity (ANGV) were reported as percentages of change from baseline...
March 29, 2017: European Journal of Medical Research
https://www.readbyqxmd.com/read/28336357/assessment-of-vestibulo-ocular-function-without-measuring-eye-movements
#7
Kara H Beaton, Michael Schubert, Mark Shelhamer
BACKGROUND: The vestibulo-ocular reflex (VOR) maintains stable gaze during head motion. Deficiencies lead to apparent world motion due to incomplete stabilization of eyes in space. VOR measurement requires specialized apparatus, trained operators, and significant setup time. NEW METHOD: We present a system (VON: vestibulo-ocular nulling) for rapid vestibulo-ocular assessment without measuring eye movements per se. VON uses a head-mounted motion sensor, laptop computer with user input control, and laser target whose position is controlled by the computer...
March 20, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28327115/clinically-acceptable-agreement-between-the-vimove-wireless-motion-sensor-system-and-the-vicon-motion-capture-system-when-measuring-lumbar-region-inclination-motion-in-the-sagittal-and-coronal-planes
#8
Hanne Leirbekk Mjøsund, Eleanor Boyle, Per Kjaer, Rune Mygind Mieritz, Tue Skallgård, Peter Kent
BACKGROUND: Wireless, wearable, inertial motion sensor technology introduces new possibilities for monitoring spinal motion and pain in people during their daily activities of work, rest and play. There are many types of these wireless devices currently available but the precision in measurement and the magnitude of measurement error from such devices is often unknown. This study investigated the concurrent validity of one inertial motion sensor system (ViMove) for its ability to measure lumbar inclination motion, compared with the Vicon motion capture system...
March 21, 2017: BMC Musculoskeletal Disorders
https://www.readbyqxmd.com/read/28319042/smartphone-application-for-mechanical-quality-assurance-of-medical-linear-accelerator
#9
Hwiyoung Kim, Hyunseok Lee, Jong In Park, Chang Heon Choi, So-Yeon Park, Hee Jung Kim, Young Suk Kim, Sung-Joon Ye
Mechanical quality assurance (QA) of medical linear accelerators consists of time consuming and human-error prone procedures. We developed a smartphone-application system for mechanical QA. The system consists of two smartphones; one attached to the gantry to obtain real-time information on mechanical parameters of medical linear accelerator, and the other to display the real-time information by bluetoothing the former. Motion sensors embedded in the smartphone were used to measure gantry and collimator rotations...
March 20, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28302432/the-influence-of-spatial-configuration-on-the-frequency-of-use-of-hand-sanitizing-stations-in-health-care-environments
#10
Jun Rong Jeffrey Neo, Rana Sagha-Zadeh
BACKGROUND: The lack of user-friendly, accessible, and visible hand sanitizing stations (HSSs) in health care environments are significant factors affecting low hand hygiene compliance rates among caregivers. OBJECTIVE: To determine whether the simulated parameters of visibility and global traffic flow score for an HSS can influence the frequency of use of that HSS. METHODS: Space syntax was used to measure virtual simulation of spatial layouts of 3 units to provide quantitative visibility and global traffic flow scores for each HSS...
March 13, 2017: American Journal of Infection Control
https://www.readbyqxmd.com/read/28300524/predicting-pulmonary-function-from-phone-sensors
#11
Qian Cheng, Joshua Juen, Shashi Bellam, Nicholas Fulara, Deanna Close, Jonathan C Silverstein, Bruce Schatz
INTRODUCTION: Smartphones are ubiquitous, but it is unknown what physiological functions can be monitored at clinical quality. Pulmonary function is a standard measure of health status for cardiopulmonary patients. We have shown phone sensors can accurately measure walking patterns. Here we show that improved classification models can accurately predict pulmonary function, with sole inputs being motion sensors from carried phones. SUBJECTS AND METHODS: Twenty-five cardiopulmonary patients performed 6-minute walk tests in pulmonary rehabilitation at a regional hospital...
March 16, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28287484/time-of-travel-methods-for-measuring-optical-flow-on-board-a-micro-flying-robot
#12
Erik Vanhoutte, Stefano Mafrica, Franck Ruffier, Reinoud J Bootsma, Julien Serres
For use in autonomous micro air vehicles, visual sensors must not only be small, lightweight and insensitive to light variations; on-board autopilots also require fast and accurate optical flow measurements over a wide range of speeds. Using an auto-adaptive bio-inspired Michaelis-Menten Auto-adaptive Pixel (M 2 APix) analog silicon retina, in this article, we present comparative tests of two optical flow calculation algorithms operating under lighting conditions from 6 × 10 - 7 to 1 . 6 × 10 - 2 W·cm - 2 (i...
March 11, 2017: Sensors
https://www.readbyqxmd.com/read/28276233/ferroelectric-zinc-oxide-nanowire-embedded-flexible-sensor-for-motion-and-temperature-sensing
#13
Sung-Ho Shin, Dae Hoon Park, Joo-Yun Jung, Min Hyung Lee, Junghyo Nah
We report a simple method to realize multifunctional flexible motion sensor using ferroelectric lithium-doped ZnO-PDMS. The ferroelectric layer enables piezoelectric dynamic sensing and provides additional motion information to more precisely discriminate different motions. The PEDOT:PSS-functionalized AgNWs, working as electrode layers for the piezoelectric sensing layer, resistively detect a change of both movement or temperature. Thus, through the optimal integration of both elements, the sensing limit, accuracy, and functionality can be further expanded...
March 22, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28269687/stayfit-a-wearable-application-for-gym-based-power-training
#14
Maram Maheedhar, Aman Gaurav, Vivek Jilla, Vijay N Tiwari, Rangavittal Narayanan
Comprehensive fitness training involves both cardiorespiratory and power components. Often power/muscle strength training is confused with cardiorespiratory endurance training. However, each of them target different physiological aspects of fitness. Although, wearable based fitness trackers designed towards cardiorespiratory endurance training are available in the market, a dedicated wearable based fitness application designed for power training/tracking is still not readily available to fitness enthusiasts...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269622/toward-personalized-and-context-aware-prompting-for-smartphone-based-intervention
#15
Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, Diane J Cook
Intervention strategies can help individuals with cognitive impairment to increase adherence to instructions, independence, and activity engagement and reduce errors on everyday instrumental activities of daily living (IADLs) and caregiver burden. However, to be effective, intervention prompts should be given at a time that does not interrupt other important user activities and is more convenient. In this paper, we propose an intelligent personalized intervention system for smartphones. In our approach, we use context and activity awareness to time prompts when they will most likely be viewed and used...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269575/an-adaptive-model-approach-for-quantitative-wrist-rigidity-evaluation-during-deep-brain-stimulation-surgery
#16
Sofia Assis, Pedro Costa, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha
Intraoperative evaluation of the efficacy of Deep Brain Stimulation includes evaluation of the effect on rigidity. A subjective semi-quantitative scale is used, dependent on the examiner perception and experience. A system was proposed previously, aiming to tackle this subjectivity, using quantitative data and providing real-time feedback of the computed rigidity reduction, hence supporting the physician decision. This system comprised of a gyroscope-based motion sensor in a textile band, placed in the patients hand, which communicated its measurements to a laptop...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269366/a-triboelectric-motion-sensor-in-wearable-body-sensor-network-for-human-activity-recognition
#17
Hui Huang, Xian Li, Ye Sun
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity recognition is widely used in well-being management, medical diagnosis and rehabilitation. Other than traditional accelerometers, we design a novel wearable sensor system based on triboelectrification. The triboelectric motion sensor can be easily attached to human body and collect motion signals caused by physical activities. The experiments are conducted to collect five common activity data: sitting and standing, walking, climbing upstairs, downstairs, and running...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269330/applying-neural-network-to-vo2-estimation-using-6-axis-motion-sensing-data
#18
Naoteru Nakamura, Takashi Nagata, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara
This paper focuses on oxygen consumption (VO2) estimation using 6-axis motion data (3-axis acceleration and 3-axis angular velocity) that are obtained from small motion sensors attached to people playing sports with different intensities. In order to achieve high estimation accuracy over a wide range of intensities of exercises, we apply neural network that is trained by experimental data consisting of the measured VO2 and motion sensing data of people with a wide range of intensities of exercises. We first investigate the gain brought by applying neural network by comparing its accuracy with an approach based on the linear regression model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269329/vo2-estimation-using-6-axis-motion-sensor-with-sports-activity-classification
#19
Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara
In this paper, we focus on oxygen consumption (VO2) estimation using 6-axis motion sensor (3-axis accelerometer and 3-axis gyroscope) for people playing sports with diverse intensities. The VO2 estimated with a small motion sensor can be used to calculate the energy expenditure, however, its accuracy depends on the intensities of various types of activities. In order to achieve high accuracy over a wide range of intensities, we employ an estimation framework that first classifies activities with a simple machine-learning based classification algorithm...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268968/an-asynchronous-multi-view-learning-approach-for-activity-recognition-using-wearables
#20
Yuchao Ma, Hassan Ghasemzadeh
In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate transfer of activity classification models across asynchronous sensor views. Our study is motivated by the highly dynamic nature of health monitoring using wearable sensors. Such dynamics include changes in sensing platform (e.g., sensor upgrade) and platform settings (e.g., sampling frequency, on-body sensor location), which result in failure of the machine learning algorithms if they remain untrained in the new setting...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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