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https://www.readbyqxmd.com/read/28822042/implementation-of-a-big-data-accessing-and-processing-platform-for-medical-records-in-cloud
#1
Chao-Tung Yang, Jung-Chun Liu, Shuo-Tsung Chen, Hsin-Wen Lu
Big Data analysis has become a key factor of being innovative and competitive. Along with population growth worldwide and the trend aging of population in developed countries, the rate of the national medical care usage has been increasing. Due to the fact that individual medical data are usually scattered in different institutions and their data formats are varied, to integrate those data that continue increasing is challenging. In order to have scalable load capacity for these data platforms, we must build them in good platform architecture...
August 18, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28816702/as-above-so-below-towards-understanding-inverse-models-in-bci
#2
Jussi T Lindgren
In Brain-Computer Interfaces (BCI), measurements of the users brain activity are classified into commands for the computer. With EEG-based BCIs, the origins of the classified phenomena are often considered to be spatially localized in the cortical volume and mixed in the EEG. Does the reconstruction of the source activities in the volume help in building more accurate BCIs? The answer remains inconclusive despite previous work. In this paper, we study the question by contrasting the physiology-driven source reconstruction with data-driven representations obtained by statistical machine learning...
August 17, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28815107/introducing-a-comprehensive-informatics-framework-to-promote-breast-cancer-risk-assessment-and-chemoprevention-in-the-primary-care-setting
#3
Joseph Finkelstein, Jeffrey Wood, Katherine D Crew, Rita Kukafka
Breast cancer is the most commonly diagnosed cancer among women in the United States, and current routine screening prevention methods are costly and expose patients to unnecessary risks of overtreatment. The utilization of a risk-based stratification model, genetic testing, and chemoprevention could decrease the incidence of invasive breast cancer but uptake has been low among high-risk women. The goal of this project was to implement a comprehensive informatics framework to promote breast cancer risk assessment and chemoprevention in the primary care setting that was informed by potential user feedback...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28814059/biomot-exoskeleton-towards-a-smart-wearable-robot-for-symbiotic-human-robot-interaction
#4
Tomislav Bacek, Marta Moltedo, Kevin Langlois, Guillermo Asin Prieto, Maria Carmen Sanchez-Villamanan, Jose Gonzalez-Vargas, Bram Vanderborght, Dirk Lefeber, Juan C Moreno
This paper presents design of a novel modular lower-limb gait exoskeleton built within the FP7 BioMot project. Exoskeleton employs a variable stiffness actuator in all 6 joints, a directional-flexibility structure and a novel physical humanrobot interfacing, which allows it to deliver the required output while minimally constraining user's gait by providing passive degrees of freedom. Due to modularity, the exoskeleton can be used as a full lower-limb orthosis, a single-joint orthosis in any of the three joints, and a two-joint orthosis in a combination of any of the two joints...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814052/grasp-specific-and-user-friendly-interface-design-for-myoelectric-hand-prostheses
#5
Alireza Mohammadi, Jim Lavranos, Rob Howe, Peter Choong, Denny Oetomo
This paper presents the design and characterisation of a hand prosthesis and its user interface, focusing on performing the most commonly used grasps in activities of daily living (ADLs). Since the operation of a multi-articulated powered hand prosthesis is difficult to learn and master, there is a significant rate of abandonment by amputees in preference for simpler devices. In choosing so, amputees chose to live with fewer features in their prosthesis that would more reliably perform the basic operations...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814043/design-of-a-wearable-interface-for-lightweight-robotic-arm-for-people-with-mobility-impairments
#6
Tommaso Lisini Baldi, Giovanni Spagnoletti, Mihai Dragusanu, Domenico Prattichizzo
Many common activities of daily living like open a door or fill a glass of water, which most of us take for granted, could be an insuperable problem for people who have limited mobility or impairments. For years the unique alternative to overcame this limitation was asking for human help. Nowadays thanks to recent studies and technology developments, having an assistive devices to compensate the loss of mobility is becoming a real opportunity. Off-the-shelf assistive robotic manipulators have the capability to improve the life of people with motor impairments...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813999/upper-limb-prosthetic-control-using-wearable-multichannel-mechanomyography
#7
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/28813998/joint-stiffness-modulation-of-compliant-actuators-for-lower-limb-exoskeletons
#8
Jose Gonzalez-Vargas, Shingo Shimoda, Guillermo Asin-Prieto, Jose L Pons, Juan C Moreno
Lower limb exoskeletons are being used to assist people with movement disorders during activities of daily living or rehabilitation. However, providing a natural interface that automatically adapts to the patient's movement limitations remains an open challenge. In this paper, we present a control implementation that combines a compliant actuator technology with the concept of tacit learning to improve the synchronisation between the exoskeleton and the user during locomotion. We show that this implementation can be effectively used to easily modulate the joint stiffness that is perceived by the user during locomotion...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813988/capturing-prosthetic-socket-fitment-preliminary-results-using-an-ultrasound-based-device
#9
Andrew K LaPre, Vinh Q Nguyen, Ulvi Baspinar, Michael White, Frank C Sup
The acceptance of advanced prosthetic systems by users requires overcoming unique challenges of fitting prostheses to unique user anatomies to achieve systematic performance across a user base. Variations among individuals introduce complexities in fitting the sockets. Due to the difficulty of measuring socket interface characteristics, there is a lack of quantifiable diagnostic fitment information available. As a result, the process of fitting sockets is currently a laborintensive, manual approach, and can often result in sockets that are uncomfortable, unstable, or impede full range of motion...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813968/changes-in-neuromuscular-activity-during-motor-training-with-a-body-machine-interface-after-spinal-cord-injury
#10
C Pierella, A De Luca, E Tasso, F Cervetto, S Gamba, L Losio, E Quinland, A Venegoni, S Mandraccia, I Muller, A Massone, F A Mussa-Ivaldi, M Casadio
Body machine interfaces (BMIs) are used by people with severe motor disabilities to control external devices, but they also offer the opportunity to focus on rehabilitative goals. In this study we introduced in a clinical setting a BMI that was integrated by the therapists in the rehabilitative treatments of 2 spinal cord injured (SCI) subjects for 5 weeks. The BMI mapped the user's residual upper body mobility onto the two coordinates of a cursor on a screen. By controlling the cursor, the user engaged in playing computer games...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813964/brain-computer-interface-combining-eye-saccade-two-electrode-eeg-signals-and-voice-cues-to-improve-the-maneuverability-of-wheelchair
#11
Ker-Jiun Wang, Lan Zhang, Bo Luan, Hsiao-Wei Tung, Quanfeng Liu, Jiacheng Wei, Mingui Sun, Zhi-Hong Mao
Brain-computer interfaces (BCIs) largely augment human capabilities by translating brain wave signals into feasible commands to operate external devices. However, many issues face the development of BCIs such as the low classification accuracy of brain signals and the tedious human-learning procedures. To solve these problems, we propose to use signals associated with eye saccades and blinks to control a BCI interface. By extracting existing physiological eye signals, the user does not need to adapt his/her brain waves to the device...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813960/towards-free-3d-end-point-control-for-robotic-assisted-human-reaching-using-binocular-eye-tracking
#12
Roni O Maimon-Dror, Jorge Fernandez-Quesada, Giuseppe A Zito, Charalambos Konnaris, Sabine Dziemian, A Aldo Faisal
Eye-movements are the only directly observable behavioural signals that are highly correlated with actions at the task level, and proactive of body movements and thus reflect action intentions. Moreover, eye movements are preserved in many movement disorders leading to paralysis (or amputees) from stroke, spinal cord injury, Parkinson's disease, multiple sclerosis, and muscular dystrophy among others. Despite this benefit, eye tracking is not widely used as control interface for robotic interfaces in movement impaired patients due to poor human-robot interfaces...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813959/-wink-to-grasp-comparing-eye-voice-emg-gesture-control-of-grasp-with-soft-robotic-gloves
#13
Bernardo Noronha, Sabine Dziemian, Giuseppe A Zito, Charalambos Konnaris, A Aldo Faisal
The ability of robotic rehabilitation devices to support paralysed end-users is ultimately limited by the degree to which human-machine-interaction is designed to be effective and efficient in translating user intention into robotic action. Specifically, we evaluate the novel possibility of binocular eye-tracking technology to detect voluntary winks from involuntary blink commands, to establish winks as a novel low-latency control signal to trigger robotic action. By wearing binocular eye-tracking glasses we enable users to directly observe their environment or the actuator and trigger movement actions, without having to interact with a visual display unit or user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813953/bridge-behavioural-reaching-interfaces-during-daily-antigravity-activities-through-upper-limb-exoskeleton-preliminary-results
#14
Marta Gandolla, Andrea Costa, Lorenzo Aquilante, Margit Gfoehler, Markus Puchinger, Francesco Braghin, Alessandra Pedrocchi
People with neuromuscular diseases such as muscular dystrophy experience a distributed and evolutive weakness in the whole body. Recent technological developments have changed the daily life of disabled people strongly improving the perceived quality of life, mostly concentrating on powered wheelchairs, so to assure autonomous mobility and respiratory assistance, essential for survival. The key concept of the BRIDGE project is to contrast the everyday experience of losing functions by providing them of a system able to exploit the best their own residual capabilities in arm movements so to keep them functional and autonomous as much as possible...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813952/comparative-performance-analysis-of-m-imu-emg-and-voice-user-interfaces-for-assistive-robots
#15
Clemente Laureiti, Francesca Cordella, Francesco Scotto di Luzio, Stefano Saccucci, Angelo Davalli, Rinaldo Sacchetti, Loredana Zollo
People with a high level of disability experience great difficulties to perform activities of daily living and resort to their residual motor functions in order to operate assistive devices. The commercially available interfaces used to control assistive manipulators are typically based on joysticks and can be used only by subjects with upper-limb residual mobilities. Many other solutions can be found in the literature, based on the use of multiple sensory systems for detecting the human motion intention and state...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813939/comparison-of-tongue-interface-with-keyboard-for-control-of-an-assistive-robotic-arm
#16
Lotte N S Andreasen Struijk, Romulus Lontis
This paper demonstrates how an assistive 6 DoF robotic arm with a gripper can be controlled manually using a tongue interface. The proposed method suggests that it possible for a user to manipulate the surroundings with his or her tongue using the inductive tongue control system as deployed in this study. The sensors of an inductive tongue-computer interface were mapped to the Cartesian control of an assistive robotic arm. The resulting control system was tested manually in order to compare manual control of the robot using a standard keyboard and using the tongue interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813934/a-hybrid-brain-machine-interface-based-on-eeg-and-emg-activity-for-the-motor-rehabilitation-of-stroke-patients
#17
Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Eduardo Lopez-Larraz, Carlos Bibian, Florian Helmhold, Doris Broetz, Niels Birbaumer, Ander Ramos-Murguialday
Including supplementary information from the brain or other body parts in the control of brain-machine interfaces (BMIs) has been recently proposed and investigated. Such enriched interfaces are referred to as hybrid BMIs (hBMIs) and have been proven to be more robust and accurate than regular BMIs for assistive and rehabilitative applications. Electromyographic (EMG) activity is one of the most widely utilized biosignals in hBMIs, as it provides a quite direct measurement of the motion intention of the user...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813930/bemobil-developing-a-user-friendly-and-motivating-telerehabilitation-system-for-motor-relearning-after-stroke
#18
Michael Minge, Ekaterina Ivanova, Katharina Lorenz, Gesche Joost, Manfred Thuring, Jorg Kruger
Motor relearning after stroke is a lengthy process which should be continued after patients get discharged from the clinic. This project aims at developing a system for telerehabilitation which enables stroke patients to exercise at home autonomously or under supervision of a therapist. The system includes haptic therapy devices which are more promising and beneficial for stroke rehabilitation than non-haptic approaches. In this paper, we present the results of two initial studies investigating specific design solutions for the patient's user interface...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813929/soft-brain-machine-interfaces-for-assistive-robotics-a-novel-control-approach
#19
Lucia Schiatti, Jacopo Tessadori, Giacinto Barresi, Leonardo S Mattos, Arash Ajoudani
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of independence and interaction with the external environment. In this direction, the operator's residual functions must be exploited for the control of the robot movements and the underlying dynamic interaction through intuitive and effective human-robot interfaces. Towards this end, this work aims at exploring the potential of a novel Soft Brain-Machine Interface (BMI), suitable for dynamic execution of remote manipulation tasks for a wide range of patients...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813924/probabilistic-vs-linear-blending-approaches-to-shared-control-for-wheelchair-driving
#20
Chinemelu Ezeh, Pete Trautman, Louise Devigne, Valentin Bureau, Marie Babel, Tom Carlson
Some people with severe mobility impairments are unable to operate powered wheelchairs reliably and effectively, using commercially available interfaces. This has sparked a body of research into "smart wheelchairs", which assist users to drive safely and create opportunities for them to use alternative interfaces. Various "shared control" techniques have been proposed to provide an appropriate level of assistance that is satisfactory and acceptable to the user. Most shared control techniques employ a traditional strategy called linear blending (LB), where the user's commands and wheelchair's autonomous commands are combined in some proportion...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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