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https://www.readbyqxmd.com/read/28819579/dual-task-performance-in-gba-parkinson-s-disease
#1
Karin Srulijes, Kathrin Brockmann, Senait Ogbamicael, Markus A Hobert, Ann-Kathrin Hauser, Claudia Schulte, Jasmin Fritzen, Michael Schwenk, Thomas Gasser, Daniela Berg, Walter Maetzler
INTRODUCTION: Parkinson's disease patients carrying a heterozygous mutation in the gene glucocerebrosidase (GBA-PD) show faster motor and cognitive decline than idiopathic Parkinson's disease (iPD) patients, but the mechanisms behind this observation are not well understood. Successful dual tasking (DT) requires a smooth integration of motor and nonmotor operations. This study compared the DT performances between GBA-PD and iPD patients. METHODS: Eleven GBA-PD patients (p...
2017: Parkinson's Disease
https://www.readbyqxmd.com/read/28818560/rotigotine-for-nocturnal-hypokinesia-in-parkinson-s-disease-quantitative-analysis-of-efficacy-from-a-randomized-placebo-controlled-trial-using-an-axial-inertial-sensor
#2
Roongroj Bhidayasiri, Jirada Sringean, Suchapit Chaiwong, Chanawat Anan, Nuntiwat Penkeaw, Amarinee Leaknok, Kamolwan Boonpang, Karn Saksornchai, Watchara Rattanachaisit, Chusak Thanawattano, Priya Jagota
BACKGROUND: Nocturnal hypokinesia is a common symptom in Parkinson's disease (PD), negatively affecting quality of life of both patients and caregivers. However, evidence-based treatment strategies are limited. OBJECTIVE: To evaluate the efficacy of rotigotine transdermal patch, using a wearable sensor, in the management of nocturnal immobility. METHODS: 34 PD subjects with nocturnal immobility were randomized to receive rotigotine transdermal patch (mean ± SD of 10...
August 9, 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28817069/detecting-traversable-area-and-water-hazards-for-the-visually-impaired-with-a-prgb-d-sensor
#3
Kailun Yang, Kaiwei Wang, Ruiqi Cheng, Weijian Hu, Xiao Huang, Jian Bai
The use of RGB-Depth (RGB-D) sensors for assisting visually impaired people (VIP) has been widely reported as they offer portability, function-diversity and cost-effectiveness. However, polarization cues to assist traversability awareness without precautions against stepping into water areas are weak. In this paper, a polarized RGB-Depth (pRGB-D) framework is proposed to detect traversable area and water hazards simultaneously with polarization-color-depth-attitude information to enhance safety during navigation...
August 17, 2017: Sensors
https://www.readbyqxmd.com/read/28816683/cardiorespiratory-model-based-data-driven-approach-for-sleep-apnea-detection
#4
Sandeep Gutta, Qi Cheng, Hoa Nguyen, Bruce Benjamin
Obstructive sleep apnea (OSA) is a chronic sleep disorder affecting millions of people worldwide. Individuals with OSA are rarely aware of the condition and are often left untreated, which can lead to some serious health problems. Nowadays, several low-cost wearable health sensors are available that can be used to conveniently and noninvasively collect a wide range of physiological signals. In this paper, we propose a new framework for OSA detection in which we combine the wearable sensor measurement signals with the mathematical models of the cardiorespiratory system...
August 14, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28814047/a-simple-tool-to-measure-spasticity-in-spinal-cord-injury-subjects
#5
Arash Arami, Nevio L Tagliamonte, Federica Tamburella, Hsieng-Yung Huang, Marco Molinari, Etienne Burdet
This work presents a wearable device and the algorithms for quantitative modelling of joint spasticity and its application in a pilot group of subjects with different levels of spinal cord injury. The device comprises light-weight instrumented handles to measure the interaction force between the subject and the physical therapist performing the tests, EMG sensors and inertial measurement units to measure muscle activity and joint kinematics. Experimental tests included the passive movement of different body segments, where the spasticity was expected, at different velocities...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814041/assessing-bradykinesia-in-parkinson-s-disease-using-gyroscope-signals
#6
S Summa, J Tosi, F Taffoni, L Di Biase, M Marano, A Cascio Rizzo, M Tombini, G Di Pino, D Formica
Parkinson's disease (PD) is a neurodegenerative brain disorder that slowly brings on the dopaminergic neurons death. The depletion of the dopaminergic signal causes the onset of motor symptoms such as tremor, bradykinesia and rigidity. Usually, neurologists regularly monitor motor symptoms and motor fluctuations using the MDS-UPDRS part III clinical scale. Nevertheless, to have a more objective and quantitative evaluation, it is possible to assess the cardinal motor symptoms of PD using wearable sensors and portable robotic devices...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814039/evaluating-wearable-multimodal-sensor-insoles-for-motion-pattern-measurements-in-stroke-rehabilitation-a-pilot-study
#7
V David, M Forjan, J Martinek, S Kotzian, H Jagos, D Rafolt
The majority of stroke patients experience deficits in motoric functions, especially in gait and mobility. They need rehabilitation to regain walking independence, which is a major goal of rehabilitation after stroke. To document and assess the rehabilitation progress, instrumented motion analysis and clinical assessments are commonly used. In a clinical pilot study the applicability of an instrumented insole system in stroke rehabilitation is evaluated. Motion parameter of 35 stroke patients were gathered with the system while completing 90 s level walking and Timed Up & Go test at the beginning and end of four weeks inpatient rehabilitation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814030/quantitative-evaluation-of-hand-functions-using-a-wearable-hand-exoskeleton-system
#8
Suin Kim, Jeongsoo Lee, Wookeun Park, Joonbum Bae
To investigate, improve, and observe the effect of rehabilitation therapy, many studies have been conducted on evaluating the motor function quantitatively by developing various types of robotic systems. Even though the robotic systems have been developed, functional evaluation of the hand has been rarely investigated, because it is difficult to install a number of actuators or sensors to the hand due to limited space around the fingers. Therefore, in this study, a hand exoskeleton was developed to satisfy the required specifications for evaluating the hand functions including spasticity of finger flexors, finger independence, and multi-digit synergy and algorithms to evaluate such functions were proposed...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#9
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813999/upper-limb-prosthetic-control-using-wearable-multichannel-mechanomyography
#10
Samuel Wilson, Ravi Vaidyanathan
In this paper we introduce a robust multi-channel wearable sensor system for capturing user intent to control robotic hands. The interface is based on a fusion of inertial measurement and mechanomyography (MMG), which measures the vibrations of muscle fibres during motion. MMG is immune to issues such as sweat, skin impedance, and the need for a reference signal that is common to electromyography (EMG). The main contributions of this work are: 1) the hardware design of a fused inertial and MMG measurement system that can be worn on the arm, 2) a unified algorithm for detection, segmentation, and classification of muscle movement corresponding to hand gestures, and 3) experiments demonstrating the real-time control of a commercial prosthetic hand (Bebionic Version 2)...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813995/a-novel-human-effort-estimation-method-for-knee-assistive-exoskeletons
#11
Lorenzo Saccares, Anais Brygo, Ioannis Sarakoglou, Nikos G Tsagarakis
In this work we present a novel method to estimate online the torques at the knee joints with the goal to generate reference signals for knee assistive devices. One of the main advantages of the proposed approach is its reduced sensing requirements, which leads to an ergonomic setup with minimal instrumentation, especially above the knee and of the upper body. Indeed, only the measurement of the forces and torques exchanged between the ground and the user's feet, the posture of the shanks, and the model of the user's shank itself are needed for the estimation of the knee torque...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813985/emg-pattern-classification-to-control-a-hand-orthosis-for-functional-grasp-assistance-after-stroke
#12
Cassie Meeker, Sangwoo Park, Lauri Bishop, Joel Stein, Matei Ciocarlie
Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have intuitive controls, and to improve quality of life, the device should enable the user to perform Activities of Daily Living. In this context, we explore the feasibility of using electromyography (EMG) signals to control a wearable exotendon device to enable pick and place tasks...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813947/exploiting-kinematic-constraints-to-compensate-magnetic-disturbances-when-calculating-joint-angles-of-approximate-hinge-joints-from-orientation-estimates-of-inertial-sensors
#13
Daniel Laidig, Thomas Schauer, Thomas Seel
Inertial Measurement Units (IMUs) have become a widely used tool for rehabilitation and other application domains in which human motion is analyzed using an ambulatory or wearable setup. Since the magnetic field is inhomogeneous in indoor environments and in the proximity of ferromagnetic material, standard orientation estimation and joint angle calculation algorithms often lead to inaccurate or even completely wrong results. One approach to circumvent this is to exploit the kinematic constraint that is induced by mechanical hinge joints and also by approximate hinge joints such as the knee joint and the finger (interphalangeal) joints of the human body...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813842/using-wearable-physiological-sensors-to-predict-energy-expenditure
#14
Kimberly A Ingraham, Daniel P Ferris, C David Remy
Lower-limb assistive robotic devices are often evaluated by measuring a reduction in the user's energy cost. Using indirect calorimetry to estimate energy cost is poorly suited for real-time estimation and long-term collection. The goal of this study was to use data from wearable sensors to predict energy cost with better temporal resolution and less variability than breath measurements. We collected physiological data (heart rate, electrodermal activity, skin temperature) and mechanical data (EMG, accelerometry) from three healthy subjects walking on a treadmill at various speeds on level ground, inclined, and backwards...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813786/prediction-of-gait-events-in-walking-activities-with-a-bayesian-perception-system
#15
Uriel Martinez-Hernandez, Mohammed I Awad, Imran Mahmood, Abbas A Dehghani-Sanij
In this paper, a robust probabilistic formulation for prediction of gait events from human walking activities using wearable sensors is presented. This approach combines the output from a Bayesian perception system with observations from actions and decisions made over time. The perception system makes decisions about the current gait events, while observations from decisions and actions allow to predict the most probable gait event during walking activities. Furthermore, our proposed method is capable to evaluate the accuracy of its predictions, which permits to obtain a better performance and trade-off between accuracy and speed...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28812204/multivariable-adaptive-artificial-pancreas-system-in-type-1-diabetes
#16
REVIEW
Ali Cinar
PURPOSE OF REVIEW: The review summarizes the current state of the artificial pancreas (AP) systems and introduces various new modules that should be included in future AP systems. RECENT FINDINGS: A fully automated AP must be able to detect and mitigate the effects of meals, exercise, stress and sleep on blood glucose concentrations. This can only be achieved by using a multivariable approach that leverages information from wearable devices that provide real-time streaming data about various physiological variables that indicate imminent changes in blood glucose concentrations caused by meals, exercise, stress and sleep...
August 15, 2017: Current Diabetes Reports
https://www.readbyqxmd.com/read/28809713/a-survey-on-biofeedback-and-actuation-in-wireless-body-area-networks-wban
#17
Rui Li, Daniel T H Lai, WeeSit Lee
Wireless Body Area Networks (WBAN) has attained increasing popularity as the next generation framework of wearable technologies for human monitoring. Invasive or non-invasive wearable sensors designed in WBAN are worn to gather vital information. Biofeedback is a recent concept where collected data is used to generate actuation signals in WBANs. Applications can be seen in various areas such as sports (e.g. locomotor velocity) or medical (e.g. blood pressure measurement). However, since the body is closely regulated, the next generation WBAN technology must be smart enough to react to monitored data...
August 10, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28800221/graphene-paper-pressure-sensor-for-detecting-human-motions
#18
Lu-Qi Tao, Kun-Ning Zhang, He Tian, Ying Liu, Dan-Yang Wang, Yuan-Quan Chen, Yi Yang, Tian-Ling Ren
The pressure sensors should have an excellent sensitivity in the range of 0-20kPa when applied in wearable applications. Traditional pressure sensors can't achieve both a high sensitivity and a large working range simultaneously, which results to their limited applications in wearable fields. There is an urgent need to develop a pressure sensor to make a breakthrough in both sensitivity and working range. In this paper, a graphene-paper pressure sensor which shows excellent performance in the range of 0-20kPa is proposed...
August 11, 2017: ACS Nano
https://www.readbyqxmd.com/read/28798200/wearable-physiological-monitoring-for-human-thermal-work-strain-optimization
#19
Mark J Buller, Alexander Pearson Welles, Karl E Friedl
Safe performance limits of soldiers and athletes have typically relied on predictive work-rest models of ambient conditions, average work intensity, and characteristics of the population. Bioengineering advances in noninvasive sensor technologies including miniaturization, reduced cost, power requirements, and comfort now make it possible to produce individual predictions of safe thermal-work limits. These precision medicine assessments depend on the development of thoughtful algorithms based on physics and physiology...
August 10, 2017: Journal of Applied Physiology
https://www.readbyqxmd.com/read/28798198/wearable-ballistocardiogram-and-seismocardiogram-systems-for-health-and-performance
#20
Mozziyar Etemadi, Omer T Inan
Cardiovascular diseases (CVDs) are prevalent in the US and many forms of CVDs primarily affect the mechanical aspects of heart function. Wearable technologies for monitoring the mechanical health of the heart and vasculature could enable proactive management of CVDs through titration of care based on physiological status, as well as preventative wellness monitoring to help promote lifestyle choices that reduce the overall risk of developing CVDs. Additionally, such wearable technologies could be used to optimize human performance in austere environments...
August 10, 2017: Journal of Applied Physiology
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