Read by QxMD icon Read

Robotic rehabilitation

Simona Portaro, Vincenzo Cimino, Maria Accorinti, Alessandra Pidalà, Antonino Naro, Rocco S Calabrò
BACKGROUND: Amyotrophic Lateral Sclerosis flail arm (ALS-FA) is a motor neuron disease form confined to the upper limbs (cervical spinal cord region), often with asymmetric onset. To date, there is no defined neurorehabilitative strategy for ALS patients, although aerobic exercises may be of some help. CASE REPORT: A 69 year-old woman affected by ALS-FA was admitted to our research institute because of upper limb muscles weakness. She was then submitted to two different conventional physiotherapy programs, the first stand-alone and the second combined to a robotic treatment...
June 14, 2018: European Journal of Physical and Rehabilitation Medicine
Vishwanathan Mohan, Ajaz Bhat, Pietro Morasso
Emerging trends in neurosciences are providing converging evidence that cortical networks in predominantly motor areas are activated in several contexts related to 'action' that do not cause any overt movement. Indeed for any complex body, human or embodied robot inhabiting unstructured environments, the dual processes of shaping motor output during action execution and providing the self with information related to feasibility, consequence and understanding of potential actions (of oneself/others) must seamlessly alternate during goal-oriented behaviors, social interactions...
April 27, 2018: Physics of Life Reviews
Maurizio Ferrarin, Marco Rabuffetti, Elisabetta Geda, Silvia Sirolli, Alberto Marzegan, Valentina Bruno, Katiuscia Sacco
Several robotic devices have been developed for the rehabilitation of treadmill walking in patients with movement disorders due to injuries or diseases of the central nervous system. These robots induce coordinated multi-joint movements aimed at reproducing the physiological walking or stepping patterns. Control strategies developed for robotic locomotor training need a set of predefined lower limb joint angular trajectories as reference input for the control algorithm. Such trajectories are typically taken from normative database of overground unassisted walking...
June 2018: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
Mike D Rinderknecht, Olivier Lambercy, Vanessa Raible, Imke Büsching, Aida Sehle, Joachim Liepert, Roger Gassert
BACKGROUND: Proprioceptive function can be affected after neurological injuries such as stroke. Severe and persistent proprioceptive impairments may be associated with a poor functional recovery after stroke. To better understand their role in the recovery process, and to improve diagnostics, prognostics, and the design of therapeutic interventions, it is essential to quantify proprioceptive deficits accurately and sensitively. However, current clinical assessments lack sensitivity due to ordinal scales and suffer from poor reliability and ceiling effects...
June 7, 2018: Journal of Neuroengineering and Rehabilitation
Shigeki Kubota, Hideki Kadone, Yukiyo Shimizu, Yuki Hara, Tadashi Kubo, Hiroki Watanabe, Yasushi Hada, Naoyuki Ochiai, Yoshiyuki Sankai, Masashi Yamazaki
This study aimed to evaluate the effectiveness and safety of using the upper limb single-joint Hybrid Assistive Limb (upper limb HAL-SJ) during elbow flexion training following elbow flexor reconstruction for brachial plexus injury (BPI). We present the cases of two patients in whom the upper limb HAL-SJ was implemented 5 and 7 months postoperatively following elbow flexor reconstruction for BPI. They underwent elbow flexor reconstruction with intercostal nerve crossing-to-musculocutaneous nerve (ICN-MCN crossing) after BPI...
May 2018: Journal of Orthopaedic Surgery
Roger Gassert, Volker Dietz
The past decades have seen rapid and vast developments of robots for the rehabilitation of sensorimotor deficits after damage to the central nervous system (CNS). Many of these innovations were technology-driven, limiting their clinical application and impact. Yet, rehabilitation robots should be designed on the basis of neurophysiological insights underlying normal and impaired sensorimotor functions, which requires interdisciplinary collaboration and background knowledge.Recovery of sensorimotor function after CNS damage is based on the exploitation of neuroplasticity, with a focus on the rehabilitation of movements needed for self-independence...
June 5, 2018: Journal of Neuroengineering and Rehabilitation
Hui Guang, Linhong Ji, Yingying Shi, Berno J E Misgeld
The robot-assisted therapy has been demonstrated to be effective in the improvements of limb function and even activities of daily living for patients after stroke. This paper presents an interactive upper-limb rehabilitation robot with a parallel mechanism and an isometric screen embedded in the platform to display trajectories. In the dynamic modeling for impedance control, the effects of friction and inertia are reduced by introducing the principle of virtual work and derivative of Jacobian matrix. To achieve the assist-as-needed impedance control for arbitrary trajectories, the strategy based on orthogonal deviations is proposed...
2018: Journal of Healthcare Engineering
Jessica Cantillo-Negrete, Ruben I Carino-Escobar, Paul Carrillo-Mora, David Elias-Vinas, Josefina Gutierrez-Martinez
Motor imagery-based brain-computer interfaces (BCI) have shown potential for the rehabilitation of stroke patients; however, low performance has restricted their application in clinical environments. Therefore, this work presents the implementation of a BCI system, coupled to a robotic hand orthosis and driven by hand motor imagery of healthy subjects and the paralysed hand of stroke patients. A novel processing stage was designed using a bank of temporal filters, the common spatial pattern algorithm for feature extraction and particle swarm optimisation for feature selection...
2018: Journal of Healthcare Engineering
Rajat Emanuel Singh, Kamran Iqbal, Gannon White, Tarun Edgar Hutchinson
The central nervous system (CNS) is believed to utilize specific predefined modules, called muscle synergies (MS), to accomplish a motor task. Yet questions persist about how the CNS combines these primitives in different ways to suit the task conditions. The MS hypothesis has been a subject of debate as to whether they originate from neural origins or nonneural constraints. In this review article, we present three aspects related to the MS hypothesis: (1) the experimental and computational evidence in support of the existence of MS, (2) algorithmic approaches for extracting them from surface electromyography (EMG) signals, and (3) the possible role of MS as a neurorehabilitation tool...
2018: Applied Bionics and Biomechanics
Daniel Schließmann, Maria Nisser, Christian Schuld, Till Gladow, Steffen Derlien, Laura Heutehaus, Norbert Weidner, Ulrich Smolenski, Rüdiger Rupp
BACKGROUND: Walking disabilities negatively affect inclusion in society and quality of life and increase the risk for secondary complications. It has been shown that external feedback applied by therapists and/or robotic training devices enables individuals with gait abnormalities to consciously normalize their gait pattern. However, little is known about the effects of a technically-assisted over ground feedback therapy. The aim of this study was to assess whether automatic real-time feedback provided by a shoe-mounted inertial-sensor-based gait therapy system is feasible in individuals with gait impairments after incomplete spinal cord injury (iSCI), stroke and in the elderly...
May 29, 2018: Journal of Neuroengineering and Rehabilitation
Kristina Daunoraviciene, Ausra Adomaviciene, Donatas Svirskis, Julius Griškevičius, Alvydas Juocevicius
BACKGROUND: Integration of the verticalization robot, Erigo, with functional electric stimulation and passive leg movements in the postacute rehabilitation of neurological patients could reduce the risk of secondary complications and improve functional outcomes (i.e. orthostatic hypotension, postural control and walking ability). OBJECTIVE: The aim of this study was to estimate and quantify changes in the postacute stage, mainly related to heart rate and blood pressure in functional recovery, postural parameters, walking ability and psychoemotional reactions, during training using the verticalization robot Erigo...
May 18, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Kristina Daunoraviciene, Ausra Adomaviciene, Agne Grigonyte, Julius Griškevičius, Alvydas Juocevicius
BACKGROUND: The study aims to determine the effectiveness of robot-assisted training in the recovery of stroke-affected arms using an exoskeleton robot Armeo Spring. OBJECTIVE: To identify the effect of robot training on functional recovery of the arm. METHODS: A total of 34 stroke patients were divided into either an experimental group (EG; n= 17) or a control group (n= 17). EG was also trained to use the Armeo Spring during occupational therapy...
May 18, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Artur Saudabayev, Zhanibek Rysbek, Raykhan Khassenova, Huseyin Atakan Varol
This paper presents a grasping database collected from multiple human subjects for activities of daily living in unstructured environments. The main strength of this database is the use of three different sensing modalities: color images from a head-mounted action camera, distance data from a depth sensor on the dominant arm and upper body kinematic data acquired from an inertial motion capture suit. 3826 grasps were identified in the data collected during 9-hours of experiments. The grasps were grouped according to a hierarchical taxonomy into 35 different grasp types...
May 29, 2018: Scientific Data
Trinnachoke Eiammanussakul, Viboon Sangveraphunsiri
Robots for stroke rehabilitation at the lower limbs in sitting/lying position have been developed extensively. Some of them have been applied in clinics and shown the potential of the recovery of poststroke patients who suffer from hemiparesis. These robots were developed to provide training at different joints of lower limbs with various activities and modalities. This article reviews the training activities that were realized by rehabilitation robots in literature, in order to offer insights for developing a novel robot suitable for stroke rehabilitation...
2018: Journal of Healthcare Engineering
Geng Yang, Jia Deng, Gaoyang Pang, Hao Zhang, Jiayi Li, Bin Deng, Zhibo Pang, Juan Xu, Mingzhe Jiang, Pasi Liljeberg, Haibo Xie, Huayong Yang
Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comfort is one of the key issues which should be addressed for wearable devices. The SWA was developed by integrating a low-power and tiny-sized IoT sensing device with textile electrodes, which can measure, pre-process, and wirelessly transmit bio-potential signals...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Jeffrey R Koller, C David Remy, Daniel P Ferris
BACKGROUND: Controllers for assistive robotic devices can be divided into two main categories: controllers using neural signals and controllers using mechanically intrinsic signals. Both approaches are prevalent in research devices, but a direct comparison between the two could provide insight into their relative advantages and disadvantages. We studied subjects walking with robotic ankle exoskeletons using two different control modes: dynamic gain proportional myoelectric control based on soleus muscle activity (neural signal), and timing-based mechanically intrinsic control based on gait events (mechanically intrinsic signal)...
May 25, 2018: Journal of Neuroengineering and Rehabilitation
Zhiyuan Liu, Dianpeng Qi, Wan Ru Leow, Jiancan Yu, Michele Xiloyannnis, Leonardo Cappello, Yaqing Liu, Bowen Zhu, Ying Jiang, Geng Chen, Lorenzo Masia, Bo Liedberg, Xiaodong Chen
Stretchable strain sensors, as the soft mechanical interface, provide the key mechanical information of the systems for healthcare monitoring, rehabilitation assistance, soft exoskeletal devices, and soft robotics. Stretchable strain sensors based on 2D flat film have been widely developed to monitor the in-plane force applied within the plane where the sensor is placed. However, to comprehensively obtain the mechanical feedback, the capability to detect the out-of-plane force, caused by the interaction outside of the plane where the senor is located, is needed...
May 17, 2018: Advanced Materials
Marco Germanotta, Arianna Cruciani, Cristiano Pecchioli, Simona Loreti, Albino Spedicato, Matteo Meotti, Rita Mosca, Gabriele Speranza, Francesca Cecchi, Giorgia Giannarelli, Luca Padua, Irene Aprile
BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devices to objectively quantify motor performance of patients after brain damage. Although these robot-derived measures can potentially add meaningful information about the patient's dexterity, as well as be used as outcome measurements after the rehabilitation treatment, they need to be validated before being used in clinical practice. The present work aims to evaluate the reliability, the validity and the discriminant ability of the metrics provided by a novel robotic device for upper limb rehabilitation...
May 16, 2018: Journal of Neuroengineering and Rehabilitation
Ahmed Elnady, W Ben Mortenson, Carlo Menon
BACKGROUND: Advances in wearable robotic technologies have increased the potential of these devices for rehabilitation and as assistive devices. However, the utilization of these devices is still limited and there are questions regarding how well these devices address users' (therapists and patients) needs. OBJECTIVE: The aims of this study were to (1) describe users' perceptions about existing wearable robotic devices for the upper extremity; (2) identify if there is a need to develop new devices for the upper extremity and the desired features; and (3) explore obstacles that would influence the utilization of these new devices...
May 15, 2018: JMIR Rehabilitation and Assistive Technologies
Yupeng Zou, Huizi Ma, Zhiyuan Han, Yang Song, Kai Liu
BACKGROUND: To solve the technical problems associated with the research on lower limb rehabilitation robot in terms of configuration design, human-machine compatibility, lightweight, and multimodel rehabilitation. OBJECTIVE: This study introduced a parallel wire driving lower limb rehabilitation robot. The robot featured modular design, reconfiguration, multimodel, and good human-machine compatibility. METHODS: The dynamics model of the wire driving module (WDM) was built based on which a multiple feedback loop controller (including a forward controller and a surplus force compensator) was designed...
April 24, 2018: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"