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https://www.readbyqxmd.com/read/28895914/a-24-ghz-front-end-integrated-on-a-multilayer-cellulose-based-substrate-for-doppler-radar-sensors
#1
Federico Alimenti, Valentina Palazzi, Chiara Mariotti, Marco Virili, Giulia Orecchini, Stefania Bonafoni, Luca Roselli, Paolo Mezzanotte
This paper presents a miniaturized Doppler radar that can be used as a motion sensor for low-cost Internet of things (IoT) applications. For the first time, a radar front-end and its antenna are integrated on a multilayer cellulose-based substrate, built-up by alternating paper, glue and metal layers. The circuit exploits a distributed microstrip structure that is realized using a copper adhesive laminate, so as to obtain a low-loss conductor. The radar operates at 24 GHz and transmits 5 mW of power. The antenna has a gain of 7...
September 12, 2017: Sensors
https://www.readbyqxmd.com/read/28877559/an-instrumented-timed-up-and-go-in-facioscapulohumeral-muscular-dystrophy
#2
Jessie Huisinga, Adam Bruetsch, Ayla McCalley, Melissa Currence, Laura Herbelin, Omar Jawdat, Mamatha Pasnoor, Mazen Dimachkie, Richard Barohn, Jeffrey Statland
INTRODUCTION: Instrumenting timed functional motor tasks may reveal a continuum of motor disability that predicts future motor dysfunction. METHODS: We performed a prospective study of the instrumented timed up and go (iTUG) test in genetically confirmed facioscapulohumeral muscular dystrophy (FSHD) participants utilizing a commercially available system of wireless motion sensors. Patients returned within 2 weeks to determine test-retest reliability. Gait parameters in FSHD participants were compared to a normative data base, FSHD clinical severity score, manual muscle testing, and patient-reported functional disability...
September 6, 2017: Muscle & Nerve
https://www.readbyqxmd.com/read/28875947/improved-prediction-of-bimanual-movements-by-a-two-staged-effector-then-trajectory-decoder-with-epidural-ecog-in-nonhuman-primates
#3
Hoseok Choi, Jeyeon Lee, Jinsick Park, Seho Lee, Kyoung-Ha Ahn, In Young Kim, Kyoung-Min Lee, Dong Pyo Jang
OBJECTIVE: In arm movement BCIs (brain-computer interfaces), unimanual research has been much more extensively studied than its bimanual counterpart. However, it is well known that the bimanual brain state is different from the unimanual one. Conventional methodology used in unimanual studies does not take the brain stage into consideration, and therefore appears to be insufficient for decoding bimanual movements. In this paper, we propose the use of a two-staged (effector-then-trajectory) decoder, which combines the classification of movement conditions and uses a hand trajectory predicting algorithm for unimanual and bimanual movements, for application to in real-world BCIs...
September 6, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28851434/effect-and-process-evaluation-of-a-kindergarten-based-family-involved-cluster-randomised-controlled-trial-in-six-european-countries-on-four-to-six-year-old-children-s-steps-per-day-the-toybox-study
#4
Marieke De Craemer, Maïté Verloigne, Ilse De Bourdeaudhuij, Odysseas Androutsos, Violeta Iotova, Luis Moreno, Berthold Koletzko, Piotr Socha, Yannis Manios, Greet Cardon
BACKGROUND: The ToyBox-intervention is a theory- and evidence-based intervention delivered in kindergartens to improve four- to six-year-old children's energy balance-related behaviours and prevent obesity. The current study aimed to (1) examine the effect of the ToyBox-intervention on increasing European four- to six-year-old children' steps per day, and (2) examine if a higher process evaluation score from teachers and parents was related to a more favourable effect on steps per day...
August 29, 2017: International Journal of Behavioral Nutrition and Physical Activity
https://www.readbyqxmd.com/read/28840144/transtibial-versus-anteromedial-portal-acl-reconstruction-is-a-hybrid-approach-the-best
#5
Jonathan K Jennings, Daniel P Leas, James E Fleischli, Donald F D'Alessandro, Richard D Peindl, Dana P Piasecki
BACKGROUND: Improved biomechanical and clinical outcomes are seen when the femoral tunnels of the anterior cruciate ligament (ACL) are placed in the center of the femoral insertion. The transtibial (TT) technique has been shown to be less capable of this than an anteromedial (AM) portal approach but is more familiar to surgeons and less technically challenging. A hybrid transtibial (HTT) technique using medial portal guidance of a transtibial guide wire without knee hyperflexion may offer anatomic tunnel placement while maintaining the relative ease of a TT technique...
August 2017: Orthopaedic Journal of Sports Medicine
https://www.readbyqxmd.com/read/28840130/development-of-a-plantar-load-estimation-algorithm-for-evaluation-of-forefoot-load-of-diabetic-patients-during-daily-walks-using-a-foot-motion-sensor
#6
Ayano Watanabe, Hiroshi Noguchi, Makoto Oe, Hiromi Sanada, Taketoshi Mori
Forefoot load (FL) contributes to callus formation, which is one of the pathways to diabetic foot ulcers (DFU). In this study, we hypothesized that excessive FL, which cannot be detected by plantar load measurements within laboratory settings, occurs in daily walks. To demonstrate this, we created a FL estimation algorithm using foot motion data. Acceleration and angular velocity data were obtained from a motion sensor attached to each shoe of the subjects. The accuracy of the estimated FL was validated by correlation with the FL measured by force sensors on the metatarsal heads, which was assessed using the Pearson correlation coefficient...
2017: Journal of Diabetes Research
https://www.readbyqxmd.com/read/28837071/autonomous-landmark-calibration-method-for-indoor-localization
#7
Jae-Hoon Kim, Byoung-Seop Kim
Machine-generated data expansion is a global phenomenon in recent Internet services. The proliferation of mobile communication and smart devices has increased the utilization of machine-generated data significantly. One of the most promising applications of machine-generated data is the estimation of the location of smart devices. The motion sensors integrated into smart devices generate continuous data that can be used to estimate the location of pedestrians in an indoor environment. We focus on the estimation of the accurate location of smart devices by determining the landmarks appropriately for location error calibration...
August 24, 2017: Sensors
https://www.readbyqxmd.com/read/28813891/quantitative-assessment-of-paretic-limb-dexterity-and-interlimb-coordination-during-bilateral-arm-rehabilitation-training
#8
Chang Xu, Siyi Li, Kui Wang, Zengguang Hou, Ningbo Yu
In neuro-rehabilitation after stroke, the conventional constrained induced movement therapy (CIMT) has been well-accepted. Existing bilateral trainings are mostly on mirrored symmetrical motion. However, complementary bilateral movements are dominantly involved in activities of daily living (ADLs), and functional bilateral therapies may bring better skill transfer from trainings to daily life. Neurophysiological evidence is also growing. In this work, we firstly introduce our bilateral arm training system realized with a haptic interface and a motion sensor, as well as the tasks that have been designed to train both the manipulation function of the paretic arm and coordination of bilateral upper limbs...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813879/interaction-force-and-motion-estimators-facilitating-impedance-control-of-the-upper-limb-rehabilitation-robot
#9
Aitziber Mancisidor, Asier Zubizarreta, Itziar Cabanes, Pablo Bengoa, Je Hyung Jung
In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user and robot. However, common direct measurement of both signals through force and motion sensors not only increases the complexity of the system but also impedes affordability of the system. As an alternative of the direct measurement, in this work, we present new force and motion estimators for the proper control of the upper-limb rehabilitation Universal Haptic Pantograph (UHP) robot...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28796206/exceptional-points-enhance-sensing-in-an-optical-microcavity
#10
Weijian Chen, Şahin Kaya Özdemir, Guangming Zhao, Jan Wiersig, Lan Yang
Sensors play an important part in many aspects of daily life such as infrared sensors in home security systems, particle sensors for environmental monitoring and motion sensors in mobile phones. High-quality optical microcavities are prime candidates for sensing applications because of their ability to enhance light-matter interactions in a very confined volume. Examples of such devices include mechanical transducers, magnetometers, single-particle absorption spectrometers, and microcavity sensors for sizing single particles and detecting nanometre-scale objects such as single nanoparticles and atomic ions...
August 9, 2017: Nature
https://www.readbyqxmd.com/read/28792481/activity-recognition-invariant-to-sensor-orientation-with-wearable-motion-sensors
#11
Aras Yurtman, Billur Barshan
Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is of interest to develop wearable systems that operate invariantly to sensor position and orientation. We focus on invariance to sensor orientation and develop two alternative transformations to remove the effect of absolute sensor orientation from the raw sensor data. We test the proposed methodology in activity recognition with four state-of-the-art classifiers using five publicly available datasets containing various types of human activities acquired by different sensor configurations...
August 9, 2017: Sensors
https://www.readbyqxmd.com/read/28792012/response-to-the-importance-of-nuance-in-statements-about-methods-for-human-energy-expenditure-estimation-that-use-motion-sensors
#12
L B Sardinha, P B Júdice
No abstract text is available yet for this article.
September 2017: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28766557/usefulness-of-motion-sensors-to-estimate-energy-expenditure-in-children-and-adults-a-narrative-review-of-studies-using-dlw
#13
L B Sardinha, P B Júdice
This corrects the article DOI: 10.1038/ejcn.2017.2.
August 2017: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28759967/people-with-dementia-can-learn-compensatory-movement-maneuvers-for%C3%A2-the-sit-to-stand-task-a-randomized-controlled-trial
#14
Christian Werner, Stefanie Wiloth, Nele Christin Lemke, Florian Kronbach, Carl-Philipp Jansen, Peter Oster, Jürgen M Bauer, Klaus Hauer
BACKGROUND: A complex motor skill highly relevant to mobility in everyday life (e.g., sit-to-stand [STS] transfer) has not yet been addressed in studies on motor learning in people with dementia (PwD). OBJECTIVE: To determine whether a dementia-specific motor learning exercise program enables PwD to learn compensatory STS maneuvers commonly taught in geriatric rehabilitation therapy to enhance patients' STS ability. METHODS: Ninety-seven patients with mild-to-moderate dementia (Mini-Mental State Examination: 21...
July 25, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28723833/concordance-of-motion-sensor-and-clinician-rated-fall-risk-scores-in-older-adults
#15
Julie Elledge
As the older adult population in the United States continues to grow, developing reliable, valid, and practical methods for identifying fall risk is a high priority. Falls are prevalent in older adults and contribute significantly to morbidity and mortality rates and rising health costs. Identifying at-risk older adults and intervening in a timely manner can reduce falls. Conventional fall risk assessment tools require a health professional trained in the use of each tool for administration and interpretation...
July 18, 2017: Computers, Informatics, Nursing: CIN
https://www.readbyqxmd.com/read/28715333/wheelchair-neuroprosthesis-for-improving-dynamic-trunk-stability
#16
Kramay Patel, Matija Milosevic, Kimitaka Nakazawa, Milos R Popovic, Kei Masani
Trunk instability is a major problem for individuals with thoracic and cervical spinal cord injury. Functional electrical stimulation (FES) neuroprosthesis, a technology that uses small electrical currents to artificially contract muscles, has previously been utilized to improve trunk stability during quasistatic and dynamic sitting. The aim of this study was to develop the first powered wheelchair-based neuroprosthesis and to test its feasibility for improving trunk stability. Eleven male, able-bodied individuals participated in the feasibility study...
July 14, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28711423/randomized-trial-of-intelligent-sensor-system-for-early-illness-alerts-in-senior-housing
#17
Marilyn Rantz, Lorraine J Phillips, Colleen Galambos, Kari Lane, Gregory L Alexander, Laurel Despins, Richelle J Koopman, Marjorie Skubic, Lanis Hicks, Steven Miller, Andy Craver, Bradford H Harris, Chelsea B Deroche
OBJECTIVES: Measure the clinical effectiveness and cost effectiveness of using sensor data from an environmentally embedded sensor system for early illness recognition. This sensor system has demonstrated in pilot studies to detect changes in function and in chronic diseases or acute illnesses on average 10 days to 2 weeks before usual assessment methods or self-reports of illness. DESIGN: Prospective intervention study in 13 assisted living (AL) communities of 171 residents randomly assigned to intervention (n=86) or comparison group (n=85) receiving usual care...
July 12, 2017: Journal of the American Medical Directors Association
https://www.readbyqxmd.com/read/28707896/smart-floor-with-integrated-triboelectric-nanogenerator-as-energy-harvester-and-motion-sensor
#18
Chuan He, Weijun Zhu, Baodong Chen, Liang Xu, Tao Jiang, Chang Bao Han, Guang Qin Gu, Dichen Li, Zhong Lin Wang
A smart floor is demonstrated by integrating a square-frame triboelectric nanogenerator (SF-TENG) into a standard wood floor. The smart floor has two working modes based on two pairs of triboelectric materials: one is purposely chosen polytetrafluoroethylene films and aluminum (Al) balls, and the other is the floor itself and the objects that can be triboelectrically charged, such as basketball, shoe soles, and Scotch tape, etc. Utilizing the Al balls enclosed inside shallow boxes, the smart floor is capable of harvesting vibrational energy and, hence, provides a nonintrusive way to detect sudden falls in elderly people...
August 9, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28621709/an-unobtrusive-fall-detection-and-alerting-system-based-on-kalman-filter-and-bayes-network-classifier
#19
Jian He, Shuang Bai, Xiaoyi Wang
Falls are one of the main health risks among the elderly. A fall detection system based on inertial sensors can automatically detect fall event and alert a caregiver for immediate assistance, so as to reduce injuries causing by falls. Nevertheless, most inertial sensor-based fall detection technologies have focused on the accuracy of detection while neglecting quantization noise caused by inertial sensor. In this paper, an activity model based on tri-axial acceleration and gyroscope is proposed, and the difference between activities of daily living (ADLs) and falls is analyzed...
June 16, 2017: Sensors
https://www.readbyqxmd.com/read/28611014/understanding-smart-home-sensor-data-for-ageing-in-place-through-everyday-household-routines-a-mixed-method-case-study
#20
Yasmin van Kasteren, Dana Bradford, Qing Zhang, Mohan Karunanithi, Hang Ding
BACKGROUND: An ongoing challenge for smart homes research for aging-in-place is how to make sense of the large amounts of data from in-home sensors to facilitate real-time monitoring and develop reliable alerts. OBJECTIVE: The objective of our study was to explore the usefulness of a routine-based approach for making sense of smart home data for the elderly. METHODS: Maximum variation sampling was used to select three cases for an in-depth mixed methods exploration of the daily routines of three elderly participants in a smart home trial using 180 days of power use and motion sensor data and longitudinal interview data...
June 13, 2017: JMIR MHealth and UHealth
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