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https://www.readbyqxmd.com/read/28335630/the-design-prototyping-and-formative-evaluation-of-an-assistive-robotic-table-art-for-stroke-patients
#1
Anthony L Threatt, Jessica Merino, Johnell O Brooks, Stan Healy, Constance Truesdail, Joseph Manganelli, Ian Walker, Keith Evan Green
OBJECTIVE: This article presents the results of an exploratory study in which 14 healthcare subject matter experts (H-SMEs) in addition to four research and design subject matter experts (RD-SMEs) at a regional rehabilitation hospital engaged in a series of complementary, participatory activities in order to design an assistive robotic table (ART). BACKGROUND: As designers, human factor experts, and healthcare professionals continue to work to integrate assistive human-robot technologies in healthcare, it is imperative to understand how the technology affects patient care from clinicians' perspectives...
April 2017: HERD
https://www.readbyqxmd.com/read/28329330/three-port-one-incision-plus-two-port-endoscopic-mitral-valve-surgery-without-robotic-assistance%C3%A2
#2
Toshiaki Ito, Atsuo Maekawa, Satoshi Hoshino, Yasunari Hayashi, Sadanari Sawaki, Junji Yanagisawa, Masayoshi Tokoro
OBJECTIVES: Totally endoscopic minimally invasive mitral valve surgery (MIMVS) is technically demanding and often performed with robotic assistance. We hypothesized that three-port video-assisted thoracic surgery (VATS) would facilitate endoscopic MIMVS and evaluated its feasibility and safety. METHODS: From October 2010 to June 2016, we performed first-time MIMVS in 250 consecutive patients (122 male), with median age of 65 years (54-73 years, 25-75 percentile)...
March 17, 2017: European Journal of Cardio-thoracic Surgery
https://www.readbyqxmd.com/read/28318816/use-of-electromyography-to-optimize-lokomat-%C3%A2-settings-for-subject-specific-gait-rehabilitation-in-post-stroke-hemiparetic-patients-a-proof-of-concept-study
#3
Yosra Cherni, Mickael Begon, Hicham Chababe, Florent Moissenet
OBJECTIVES: While generic protocols exist for gait rehabilitation using robotic orthotics such as the Lokomat(®), several settings - guidance, body-weight support (BWS) and velocity - may be adjusted to individualize patient training. However, no systematic approach has yet emerged. Our objective was to assess the feasibility and effects of a systematic approach based on electromyography to determine subject-specific settings with application to the strengthening of the gluteus maximus muscle in post-stroke hemiparetic patients...
March 16, 2017: Neurophysiologie Clinique, Clinical Neurophysiology
https://www.readbyqxmd.com/read/28287570/investigating-motor-skill-learning-processes-with-a-robotic-manipulandum
#4
Susan Leemburg, Maiko Iijima, Olivier Lambercy, Lauriane Nallet-Khosrofian, Roger Gassert, Andreas Luft
Skilled reaching tasks are commonly used in studies of motor skill learning and motor function under healthy and pathological conditions, but can be time-intensive and ambiguous to quantify beyond simple success rates. Here, we describe the training procedure for reach-and-pull tasks with ETH Pattus, a robotic platform for automated forelimb reaching training that records pulling and hand rotation movements in rats. Kinematic quantification of the performed pulling attempts reveals the presence of distinct temporal profiles of movement parameters such as pulling velocity, spatial variability of the pulling trajectory, deviation from midline, as well as pulling success...
February 12, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28278477/quantitative-eeg-for-predicting-upper-limb-motor-recovery-in-chronic-stroke-robot-assisted-rehabilitation
#5
Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic-Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this study, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery...
March 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269708/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#6
F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269582/progressive-abduction-loading-therapy-targeting-flexion-synergy-to-regain-reaching-function-in-chronic-stroke-preliminary-results-from-an-rct
#7
Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald
Reaching function is impaired following stroke due to abnormal coupling of shoulder abduction and elbow flexion. This phenomenon is commonly referred to as flexion synergy, loss of independent joint control, or impaired joint individuation. We have been successful in treating individuals with chronic stroke with moderate to severe motor impairments through the employment of targeted rehabilitation robotics and identified progressive abduction loading as a key element to the rehabilitation of reaching. Here we expand upon the investigation of progressive abduction loading therapy by testing two variants of the exercise in a larger sample and including a 3-month follow-up...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269581/exerciser-for-rehabilitation-of-the-arm-era-development-and-unique-features-of-a-3d-end-effector-robot
#8
Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud
Stroke is one of the leading causes of disability worldwide. Consequently, many stroke survivors exhibit difficulties undergoing voluntary movement in their affected upper limb, compromising their functional performance and level of independence. To minimize the negative impact of stroke disabilities, exercises are recognized as a key element in post-stroke rehabilitation. In order to provide the practice of exercises in a uniform and controlled manner as well as increasing the efficiency of therapists' interventions, robotic training has been found, and continues to prove itself, as an innovative intervention for post-stroke rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269316/case-studies-in-poststroke-hemiplegic-patients-using-semul-a-passive-2-dof-rehabilitation-robot
#9
Ken'ichi Koyanagi, Yuya Kuwahara, Takehiro Kamida, Takuya Ozawa, Rieko Mizukami, Kiyokazu Genda, Ayaka Mori, Tatsuo Motoyoshi, Hiroyuki Masuta, Toru Oshima
Following stroke, rehabilitation exercises paired with medical treatment are important for the recovery and maintenance of upper limb function. We developed a 2-DOF passive haptic system for upper limb rehabilitation and software focusing on reaching exercises, known as the coin collecting program, which provides training and evaluation of motor function, particularly dexterity. Past studies have revealed quantitative, reproducible evaluation indices using this software. In this paper, we compared case studies of post-stroke patients with results from healthy participants, and confirmed the reliability of the evaluation indices in grading or scoring motor skills...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268752/design-and-optimization-of-partner-a-parallel-actuated-robotic-trainer-for-neurorehabilitation
#10
Hossein Taheri, Stephen A Goodwin, James A Tigue, Joel C Perry, Eric T Wolbrecht
Robotic devices are a promising and dynamic tool in the realm of post-stroke rehabilitation. Researchers are still investigating how the use of robots affects motor learning and what design characteristics best encourage recovery. We present a parallel-actuated, end-effector robot designed to provide spatial assistance for upper-limb therapy while exhibiting low impedance and high backdrivability. A gradient based optimization was performed to find an optimal design that accounted for force isotropy, mechanical advantage, workspace size, and counter-balancing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268751/model-based-assistance-as-needed-for-robotic-movement-therapy-after-stroke
#11
Hossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht
This paper extends an adaptive control approach for robotic movement therapy that learns deficiencies in a patient's neuromuscular output and assists accordingly. In this method, adaptation is based on trajectory tracking error and a model of unimpaired motor control forces. The controller presented here adaptively learns and fills the gaps in the patient's ability to generate inertial forces, instead of just static forces, as has been proposed before. To test this method, a two dimensional model of an impaired human arm was used to simulate reaching movements in the horizontal plane...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28251157/armassist-robotic-system-versus-matched-conventional-therapy-for-poststroke-upper-limb-rehabilitation-a-randomized-clinical-trial
#12
RANDOMIZED CONTROLLED TRIAL
Tijana J Dimkić Tomić, Andrej M Savić, Aleksandra S Vidaković, Sindi Z Rodić, Milica S Isaković, Cristina Rodríguez-de-Pablo, Thierry Keller, Ljubica M Konstantinović
The ArmAssist is a simple low-cost robotic system for upper limb motor training that combines known benefits of repetitive task-oriented training, greater intensity of practice, and less dependence on therapist assistance. The aim of this preliminary study was to compare the efficacy of ArmAssist (AA) robotic training against matched conventional arm training in subacute stroke subjects with moderate-to-severe upper limb impairment. Twenty-six subjects were enrolled within 3 months of stroke and randomly assigned to the AA group or Control group (n = 13 each)...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28227970/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#13
F Resquin, J Ibanez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, S Alves, Jose Luis Pons, F Brunetti, J Gonzalez-Vargas, F Resquin, I Dimbwadyo, L Carrasco, L Torres, J Ibanez
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227837/progressive-abduction-loading-therapy-targeting-flexion-synergy-to-regain-reaching-function-in-chronic-stroke-preliminary-results-from-an-rct
#14
Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Stuart Traxel, Michael D Ellis, Carolina Carmona, Julius P A Dewald, Justin Drogos
Reaching function is impaired following stroke due to abnormal coupling of shoulder abduction and elbow flexion. This phenomenon is commonly referred to as flexion synergy, loss of independent joint control, or impaired joint individuation. We have been successful in treating individuals with chronic stroke with moderate to severe motor impairments through the employment of targeted rehabilitation robotics and identified progressive abduction loading as a key element to the rehabilitation of reaching. Here we expand upon the investigation of progressive abduction loading therapy by testing two variants of the exercise in a larger sample and including a 3-month follow-up...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227836/exerciser-for-rehabilitation-of-the-arm-era-development-and-unique-features-of-a-3d-end-effector-robot
#15
Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Philippe-Olivier Provost, Dominic Letourneau, Maxime Dupuis, Marie-Helene Milot, Francois Michaud, Mathieu Hamel, Julien Bernier-Ouellet, Simon Briere
Stroke is one of the leading causes of disability worldwide. Consequently, many stroke survivors exhibit difficulties undergoing voluntary movement in their affected upper limb, compromising their functional performance and level of independence. To minimize the negative impact of stroke disabilities, exercises are recognized as a key element in post-stroke rehabilitation. In order to provide the practice of exercises in a uniform and controlled manner as well as increasing the efficiency of therapists' interventions, robotic training has been found, and continues to prove itself, as an innovative intervention for post-stroke rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227556/case-studies-in-poststroke-hemiplegic-patients-using-semul-a-passive-2-dof-rehabilitation-robot
#16
Ken'ichi Koyanagi, Yuya Kuwahara, Takehiro Kamida, Takuya Ozawa, Rieko Mizukami, Kiyokazu Genda, Ayaka Mori, Tatsuo Motoyoshi, Hiroyuki Masuta, Toru Oshima, Ken'ichi Koyanagi, Yuya Kuwahara, Takehiro Kamida, Takuya Ozawa, Rieko Mizukami, Kiyokazu Genda, Ayaka Mori, Tatsuo Motoyoshi, Hiroyuki Masuta, Toru Oshima, Tatsuo Motoyoshi, Toru Oshima, Rieko Mizukami, Kiyokazu Genda, Takehiro Kamida, Takuya Ozawa, Ken'ichi Koyanagi, Ayaka Mori, Yuya Kuwahara, Hiroyuki Masuta
Following stroke, rehabilitation exercises paired with medical treatment are important for the recovery and maintenance of upper limb function. We developed a 2-DOF passive haptic system for upper limb rehabilitation and software focusing on reaching exercises, known as the coin collecting program, which provides training and evaluation of motor function, particularly dexterity. Past studies have revealed quantitative, reproducible evaluation indices using this software. In this paper, we compared case studies of post-stroke patients with results from healthy participants, and confirmed the reliability of the evaluation indices in grading or scoring motor skills...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226940/design-and-optimization-of-partner-a-parallel-actuated-robotic-trainer-for-neurorehabilitation
#17
Hossein Taheri, Stephen A Goodwin, James A Tigue, Joel C Perry, Eric T Wolbrecht, Hossein Taheri, Stephen A Goodwin, James A Tigue, Joel C Perry, Eric T Wolbrecht, James A Tigue, Joel C Perry, Hossein Taheri, Stephen A Goodwin, Eric T Wolbrecht
Robotic devices are a promising and dynamic tool in the realm of post-stroke rehabilitation. Researchers are still investigating how the use of robots affects motor learning and what design characteristics best encourage recovery. We present a parallel-actuated, end-effector robot designed to provide spatial assistance for upper-limb therapy while exhibiting low impedance and high backdrivability. A gradient based optimization was performed to find an optimal design that accounted for force isotropy, mechanical advantage, workspace size, and counter-balancing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226939/model-based-assistance-as-needed-for-robotic-movement-therapy-after-stroke
#18
Hossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht, Hossein Taheri, David J Reinkensmeyer, Eric T Wolbrecht, Eric T Wolbrecht, David J Reinkensmeyer, Hosoein Taheri
This paper extends an adaptive control approach for robotic movement therapy that learns deficiencies in a patient's neuromuscular output and assists accordingly. In this method, adaptation is based on trajectory tracking error and a model of unimpaired motor control forces. The controller presented here adaptively learns and fills the gaps in the patient's ability to generate inertial forces, instead of just static forces, as has been proposed before. To test this method, a two dimensional model of an impaired human arm was used to simulate reaching movements in the horizontal plane...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28221998/reduction-of-assessment-time-for-stroke-related-impairments-using-robotic-evaluation
#19
Sayyed Mostafa Mostafavi, Stephen H Scott, Sean P Dukelow, Parvin Mousavi
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this paper, we present a hierarchical task selection strategy for five tasks that form part of the battery of standard tests performed on the KINARM robotic system. The strategy is built using dependencies derived through three types of analyses: i) nonlinear hierarchical ordering theory is applied to determine the ordering of five tasks; ii) the parameters of all tasks are also ranked using non-linear hierarchical ordering theory; and iii) a modeling technique, fast orthogonal search (FOS), is applied to assess the predictive power of each robotic task for estimation of other task parameters...
February 16, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28220715/a-systematic-review-of-mechanisms-of-gait-speed-change-post-stroke-part-1-spatiotemporal-parameters-and-asymmetry-ratios
#20
Elizabeth C Wonsetler, Mark G Bowden
BACKGROUND: In walking rehabilitation trials, self-selected walking speed (SSWS) has emerged as the dominant outcome measure to assess walking ability. However, this measure cannot differentiate between recovery of impaired movement and compensation strategies. Spatiotemporal variables and asymmetry ratios are frequently used to quantify gait deviations and are hypothesized markers of recovery. OBJECTIVES: The purpose of this review is to investigate spatiotemporal variables and asymmetry ratios as mechanistic recovery measures in physical therapy intervention studies post-stroke...
February 21, 2017: Topics in Stroke Rehabilitation
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