Posts Tagged elbow

[ARTICLE] A Neuromuscular Electrical Stimulation (NMES) and robot hybrid system for multi-joint coordinated upper limb rehabilitation after stroke – Full Text

Abstract

Background

It is a challenge to reduce the muscular discoordination in the paretic upper limb after stroke in the traditional rehabilitation programs.

Method

In this study, a neuromuscular electrical stimulation (NMES) and robot hybrid system was developed for multi-joint coordinated upper limb physical training. The system could assist the elbow, wrist and fingers to conduct arm reaching out, hand opening/grasping and arm withdrawing by tracking an indicative moving cursor on the screen of a computer, with the support from the joint motors and electrical stimulations on target muscles, under the voluntary intention control by electromyography (EMG). Subjects with chronic stroke (n = 11) were recruited for the investigation on the assistive capability of the NMES-robot and the evaluation of the rehabilitation effectiveness through a 20-session device assisted upper limb training.

Results

In the evaluation, the movement accuracy measured by the root mean squared error (RMSE) during the tracking was significantly improved with the support from both the robot and NMES, in comparison with those without the assistance from the system (P < 0.05). The intra-joint and inter-joint muscular co-contractions measured by EMG were significantly released when the NMES was applied to the agonist muscles in the different phases of the limb motion (P < 0.05). After the physical training, significant improvements (P < 0.05) were captured by the clinical scores, i.e., Modified Ashworth Score (MAS, the elbow and the wrist), Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT), and Wolf Motor Function Test (WMFT).

Conclusions

The EMG-driven NMES-robotic system could improve the muscular coordination at the elbow, wrist and fingers.

Background

Stroke is a main cause of long-term disability in adults [1]. Approximately 70 to 80% stroke survivors experienced impairments in their upper extremity, which greatly affects the independency of their daily living [23]. In the upper limb rehabilitation, it also has been found that the recovery of the proximal joints, e.g., the shoulder and the elbow, is much better than the distal, e.g., the wrist and fingers [45]. The main possible reasons are: 1) The spontaneous motor recovery in early stage after stroke is from the proximal to the distal; and 2) the proximal joints experienced more effective physical practices than the distal joints throughout the whole rehabilitation process, since the proximal joints are easier to be handled by a human therapist and are more voluntarily controllable by most of stroke survivors [2]. However, improved proximal functions in the upper limb without the synchronized recovery at the distal makes it hard to apply the improvements into meaningful daily activities, such as reaching out and grasping objects, which requires the coordination among the joints of the upper limb, including the hand. More effective rehabilitation methods which may benefit the functional restoration at both the proximal and the distal are desired for post-stroke upper limb rehabilitation.

Besides the weakness and spasticity of muscles in the paretic upper limb, discoordination among muscles is also one of the major impairments after stroke, mainly reflected as abnormal muscular co-activating patterns and loss of independent joint control [26]. Stereotyped movements of the entire limb with compensation from the proximal joints are commonly observed in most of persons with chronic stroke who have passed six months after the onset of the stroke, during which abnormal motor synergies were gradually developed. Neuromuscular electrical stimulation (NMES) is a technique that can generate limb movements by applying electrical current on the paretic muscles [7]. Post-stroke rehabilitation assisted with NMES has been found to effectively prevent muscle atrophy and improve muscle strength [7], and the stimulation also evokes sensory feedback to the brain during muscle contraction to facilitate motor relearning [8]. It has been found that NMES can improve muscular coordination in a paralysed limb by limiting ‘learned disuse’ that stroke survivors are gradually accustomed to managing their daily activities without using certain muscles, which has been considered as a significant barrier to maximizing the recovery of post-stroke motor function [9]. However, difficulties have been found in NMES alone to precisely activate groups of muscles for dynamic and coordinated limb movements with desired accuracy in kinematics, for example, speeds and trajectories. It is because most of the NMES systems adopted transcutaneous stimulation with surface electrodes only recruiting muscles located closely to the skin surface with limited stimulation channels [8]. Therefore, the muscular force evoked may not be enough to achieve the precise limb motions. However, limb motions with repeated and close-to-normal kinematic experiences are necessary to enhance the sensorimotor pathways in rehabilitation, which has been found to contribute to the motor recovery after stroke [10]. Furthermore, faster muscular fatigue would be experienced when using NMES with intensive stimuli, in comparison with the muscle contraction by biological neural stimulation [11].

The use of rehabilitation robots is one of the solutions to the shortage of affordable professional manpower in the industry of physical therapy, to cope with the long-term and labour-demanding physical practices [10]. In comparison with the NMES, robots can well control the limb movements with electrical motors. Various robots have been proposed for upper limb training after stroke [1213]. Among them, the robots with the involvement of voluntary efforts from persons after stroke demonstrated better rehabilitation effects than those with passive limb motions, i.e., the limb movements are totally dominated by the robots [10]. Physical training with passive motions only contributed to the temporary release of muscle spasticity; whereas, voluntary practices could improve the motor functions of the limb with longer sustainability [1014]. In our previous studies, we designed a series of voluntary intention-driven rehabilitation robotics for physical training at the elbow, the wrist and fingers [1415161718]. Residual electromyography (EMG) from the paretic muscles was used to control the robots to provide assistive torques to the limb for desired motions. The results of applying these robots in post-stroke physical training showed that the target joint could obtain motor improvements after the training; however, more significant improvements usually appeared at its neighbouring proximal joint mainly due to the compensatory exercises from the proximal muscles [1517]. In order to improve the muscle coordination during robot-assisted training, we integrated NMES into the EMG-driven robot as an intact system for wrist rehabilitation [1619]. It has been found that the combined assistance with both robot and NMES could reduce the excessive muscular activities at the elbow and improve the muscle activation levels related to the wrist, which was absent in the pure robot assisted training [16]. More recently, combined treatment with robot and NMES for the wrist by other research group also demonstrated more promising rehabilitation effectiveness in the upper limb functions than pure robot training [20]. However, most of the proposed devices are for single joint treatment, and cannot be used for multi-joint coordinated upper limb training. Furthermore, the training tasks provided by these devices are not easy to be directly translated into daily activities. We hypothesized that multi-joint coordinated upper limb training assisted by both NMES and robot could improve the muscular coordination in the whole upper limb and promote the synchronized recovery at both the proximal and distal joints. In this work, we designed a multi-joint robot and NMES hybrid system for the coordinated upper limb physical practice at the elbow, wrist and fingers. Then, the rehabilitation effectiveness with the assistance of the device was evaluated by a pilot single-group trial. EMG signals from target muscles were used for voluntary intention control for both the robot and NMES parts.

Methods

The NMES-robot system

The system developed is a wearable device as shown in Fig. 1. It can support a stroke subject to perform sequencing limb movements, i.e., 1) elbow extension, 2) wrist extension associated with hand open, 3) wrist flexion and 4) elbow flexion, with the purpose of simulating the coordination of the joints in arm reaching out, hand open for grasping, and withdrawing in daily activities. The starting position of the motion cycle was set at the elbow joint extended at 180° and the wrist extended at 45°, which is also the end point for a motion cycle. In each phase of the motion, visual guidance on a computer screen was provided to a subject by following a moving cursor on the computer screen with a constant angular velocity at 10°/s for the movement of the wrist and the elbow. The subject was asked to minimize the target and actual joint positions during the tracking. In the limb tasks, assistances would be provided from the mechanical motors and NMES at the same time related to the wrist and elbow flexion/extension. NMES alone was applied for finger extension, and there was no assistance from the system for finger flexion (hand grasp). It is because that the main impairment in the hand for persons with chronic stroke is hand open, and the hand grasp can be achieved passively due to spasticity in finger flexors, and one channel NMES has demonstrated the capacity to achieve the gross open of the hand with finger extensions in clinical practices [2]. With the attempt to reduce the overall weight of the system, especially at the distal joints, for the coordinated multi-joint training of the whole upper limb, finger motions were only supported by the NMES in this work. The robot and NMES combined effects on individual finger motions in chronic stroke have been investigated in our previous work [21]. A hanging system was used to lift up the testing limb to a horizontal level (Fig. 1), to compensate the limb gravity and the weight of the wearable part of the system (totally 895 g).

Fig. 1 a The schematic diagram of the experimental setup, b a photo of a subject who is conducting the tracking task with the NMES-robot, c a photo of a subject wearing the mechanical parts of the system, d the configuration of the NMES electrodes and EMG electrodes on a driving muscle. The driving muscles in the study are BIC, TRI, FCR and the muscle union of ECU-ED

Continue —> A Neuromuscular Electrical Stimulation (NMES) and robot hybrid system for multi-joint coordinated upper limb rehabilitation after stroke | Journal of NeuroEngineering and Rehabilitation | Full Text

 

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[ARTICLE] Effects of repeated vibratory stimulation of wrist and elbow flexors on hand dexterity, strength, and sensory function in patients with chronic stroke: a pilot study – Full Text PDF

Abstract.

[Purpose] The aim of this study was to investigate the effects of repeated vibratory stimulation to muscles related to hand functions on dexterity, strength, and sensory function in patients with chronic stroke.

[Subjects and Methods] A total of 10 stroke patients with hemiplegia participated in this study. They were divided into two groups: a) Experimental and b) Control, with five randomly selected subjects for each group. The experimental group received vibratory stimulation, while the control group received the traditional physical therapy. Both interventions were performed for 30 minutes each session, three times a week for four weeks.

[Results] There was a significant within-group improvement in the box and block test results in both groups for dexterity. Grip strength improved in both groups but the improvement was not statistically significant.

[Conclusion] The vibratory stimulation activated the biceps brachii and flexor carpi radialis, which increased dexterity to grasp and lift the box and block from the surface. Therefore, repeated vibratory stimulation to muscles related to hand functions improved hand dexterity equality to the traditional physical therapy in patients with chronic stroke.

Full Text PDF

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[Abstract] An extended kinematic model for arm rehabilitation training and assessment

Abstract

In the rehabilitation training and assessment of upper limbs, the conventional kinematic model treats the arm as a serial manipulator and maps the rotations in the joint space to movements in the Cartesian space. While this model brings simplicity and convenience, and thus has been overwhelming used, its accuracy is limited, especially for the distal parts of the upper limb that execute dexterous movements.

In this paper, a novel kinematic model of the arm has been proposed, which has been inspired by the biomechanical analysis of the forearm and wrist anatomy. One additional parameter is introduced into the conventional arm model, and then both the forward and inverse kinematic models of five parameters are derived for the motion of upper arm medial/lateral rotation, elbow flexion/extension, forearm pronation/supination, wrist flexion/extension and ulnar/radial deviation. Then, experiments with an advanced haptic interface have been designed and performed to examine the presented arm kinematic model. Data analysis revealed that accuracy and robustness can be significantly improved with the new model.

This extended arm kinematic model will help device development, movement training and assessment of upper limb rehabilitation.

Published in: Advanced Robotics and Mechatronics (ICARM), International Conference on

Source: An extended kinematic model for arm rehabilitation training and assessment – IEEE Xplore Document

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[Abstract] Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring

Abstract:

This paper investigates Kinect device application during rehabilitation of people with an ischemic stroke. There are many similar application using Kinect as a tool during rehabilitation. This paper is focused on measurement of Kinect’s spatial accuracy and proposition of body states and exercises according to the Motor assessment scale for stroke (MAS). The system observes the whole rehabilitation process and objectively compares ranges of movement during each exercise. Angles between limbs are computed in the skeletal body joints projection to three anatomical planes, which enables a better insight to subject performance. The system is easily implemented with a consumer-grade computer and a low-cost Kinect device. Selected exercises are presented together with the angles evolution, body states recognition and the MAS Scale after the stroke classification.

Source: Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring – IEEE Xplore Document

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[Abstract] Accurate upper body rehabilitation system using kinect

Abstract:

The growing importance of Kinect as a tool for clinical assessment and rehabilitation is due to its portability, low cost and markerless system for human motion capture. However, the accuracy of Kinect in measuring three-dimensional body joint center locations often fails to meet clinical standards of accuracy when compared to marker-based motion capture systems such as Vicon. The length of the body segment connecting any two joints, measured as the distance between three-dimensional Kinect skeleton joint coordinates, has been observed to vary with time. The orientation of the line connecting adjoining Kinect skeletal coordinates has also been seen to differ from the actual orientation of the physical body segment. Hence we have proposed an optimization method that utilizes Kinect Depth and RGB information to search for the joint center location that satisfies constraints on body segment length and as well as orientation. An experimental study have been carried out on ten healthy participants performing upper body range of motion exercises. The results report 72% reduction in body segment length variance and 2° improvement in Range of Motion (ROM) angle hence enabling to more accurate measurements for upper limb exercises.

I. Introduction

Body joint movement analysis is extremely essential for health monitoring and treatment of patients with neurological disorders and stroke. Chronic hemiparesis of the upper extremity following a stroke causes major hand movement limitations. There is possibility of permanent reduction in muscle coactivation and corresponding joint torque patterns due to stroke [1]. Several studies suggest that abnormal coupling of shoulder adductors with elbow extensors and shoulder abductors with elbow flexors often leads to some stereotypical movement characteristics exhibited by severe stroke patients [2]. Therefore continuous and effective rehabilitation therapy is absolutely essential to monitor and control such abnormalities. There is a substantial need for home-based rehabilitation post-clinical therapy.

Source: Accurate upper body rehabilitation system using kinect – IEEE Xplore Document

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[Abstract] Trial operation of a cloud service-based three-dimensional virtual reality tele-rehabilitation system for stroke patients

Abstract:

We developed a tele-rehabilitation system to improve community rehabilitation for patients who are discharged early from hospital. The developed tele-rehabilitation system consists of devices designed to reduce the physical and economic burden on users while promoting optimum user movement. A Backend-as-a-Service cloud computing service was used for the communication between terminals. A non-contact sensor, Kinect, was used to measure movement. In addition, we used a three-dimensional (3D) display to present 3D images using binocular parallax, to encourage smooth movement of patients. We used this system for stroke patients and found improvements in task-performance time, smoothness of movements, and range of motion in all patients. No major issues occurred during the tele-rehabilitation. These results demonstrated the high operability and efficacy of our cloud service-based 3D virtual reality tele-rehabilitation system.

Source: IEEE Xplore Document – Trial operation of a cloud service-based three-dimensional virtual reality tele-rehabilitation system for stroke patients

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[ARTICLE] Development and validation of a novel questionnaire for self-determination of the range of motion of wrist and elbow – Full Text

Abstract

Background

The aim of this study was to develop and validate a novel self-administered questionnaire for assessing the patient’s own range of motion (ROM) of the wrist and the elbow.

Methods

In a prospective clinical study from January 2015 to June 2015, 101 consecutive patients were evaluated with a novel, self-administered, diagram-based, wrist motion assessment score (W-MAS) and elbow motion assessment score (E-MAS). The questionnaire was statistically evaluated for test-retest reliability, patient-physician agreement, comparison with healthy population, and influence of covariates (age, gender, affected side and involvement in workers’ compensation cases).

Results

Assessment of patient-physician agreement demonstrated almost perfect agreement (k > 0.80) with regard to six out of eight items. There was substantial agreement with regard to two items: elbow extension (k = 0.76) and pronation (k = 0.75). The assessment of the test-retest reliability revealed at least substantial agreement (k = 0.70). The questionnaire revealed a high discriminative power when comparing the healthy population with the study group (p = 0.007 or lower for every item). Age, gender, affected side and involvement in workers’ compensation cases did not in general significantly influence the patient-physician agreement for the questionnaire.

Conclusion

The W-MAS and E-MAS are valid and reliable self-administered questionnaires that provide a high level of patient-physician agreement for the assessments of wrist and elbow ROM.

Level of evidence: Diagnostic study, Level II

Background

Assessing the patient’s outcome and satisfaction is important in modern orthopedic practice [1, 2, 3]. Using questionnaires to evaluate patients with wrist and elbow disorders is widespread and has been shown to be valid and reproducible [4, 5, 6, 7, 8, 9]. Self-reported outcome measures allow outcomes to be assessed from the patient’s perspective and do not require time in clinic or medical staff for data collection.

Common self-administered questionnaires for the determination of hand- and upper limp specific results of the wrist (e.g. patient-rated wrist evaluation, PRWE [8]) and of the elbow (e.g. The American Shoulder and Elbow Surgeons-Elbow, ASES-E [1]) enable the patient to assess the functional impairment of the joint, but they do not formally assess the range of motion, and patients have to attend clinic for this to be measured [10]. Therefore important data regarding the ROM would be lost in patients who are unable or unwilling to come to the outpatient clinic at the regular follow-up or for clinical research.

To our knowledge no validated self-assessment questionnaire for the ROM of the wrist or the elbow exists, which compares the agreement of the patient’s outcome with the examination by a physician.

Therefore, the aim of the current study was to develop a self-administered, diagram-based wrist motion assessment score (W-MAS) and elbow motion assessment score (E-MAS) to enable the patients to assess their own ROM of the wrist and the elbow. We further evaluated validity and reliability of this novel questionnaire with respect to the accuracy of self-determination of the wrist and elbow ROM.

Continue —>  Development and validation of a novel questionnaire for self-determination of the range of motion of wrist and elbow | BMC Musculoskeletal Disorders | Full Text

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 [WEB SITE] HB Hands: Upper Extremity Home Exercise Program

HB Hands

Source: HB Hands

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[WEB SITE] How Effective is Botox in Improving UE Function? – Saebo

Shannon Scott, OTR/L, is the Clinical Assistant Professor at Stony Brook University Southampton. She is a graduate of the University of British Columbia in Vancouver, Canada and is currently pursuing her doctorate in OT through Quinnipiac University. She has over 23 years of clinical experience, specializing in Neurorehabilitation. She is Level One Brain Injury Certified and is NDT trained. Shannon was one of the first 10 therapists trained in the use of Saebo. Prior to teaching at Stony Brook, Shannon was the Director of Clinical Services at Saebo.Muscle spasticity is a negative symptom which can occur following a central nervous system disorder (Kinnear, 2012). The use of Botulinum Toxin Type A (BTX-A), commonly referred to as Botox, is used extensively in the treatment of muscle spasticity following stroke and other neurological conditions. Following BTX-A injections, physical and occupational therapy are typically provided and include stretching, casting, splinting, strengthening, and functional movement retraining (Kinnear, 2012).

Having provided the above types of occupational therapy interventions with numerous individuals who have received Botox injections to the UE, I have formulated my own opinions as to the functional benefits of Botox injections in the UE.  I recently did a literature review to find out what the research reports.

Van Kuijk, Geurts, Bevaart, and van Limbeek (2002) completed a systematic review of studies published from January 1996 through to October 2000. The results of the review support the efficacy of BTX-A on tone reduction and on improving passive range of motion which results in improved positioning and care of the involved UE.  One study indicated that clients reported that their arm was more relaxed with ambulation after receiving BTX-A injections to the elbow flexors, however, there was no clear effectiveness as to the impact on improved functional hand use with BTX-A.

The results of the above systematic review support my own observations. With therapy following BTX-A injections, increased passive range of motion, improved positioning, decreased pain, and improved ability to care for the UE were achieved, but I did not see specific improved hand function with BTX-A injections to the extrinsic or intrinsic hand muscles.

The above systematic review indicated that one study found superior outcomes utilizing BTX-A in combination with electrical stimulation and the authors recommended that larger controlled studies to compare the effectiveness of different and/or combined treatment interventions for spasticity was warranted.

Two studies were found that assessed the effectiveness of BTX-A in the elbow, wrist, and hand in combination with modified constraint induced movement therapy (mCIMT). All participants were required to meet the minimum wrist and finger active extension requirements before participating in the study. Sun, Hsu, Sun, Hwang, Yang, and Wang (2010) compared the effectiveness of BTX-A with mCIMT versus BTX-A with NDT. Wolf, Milton, Reiss, Easley, Shenvi, and Clark (2012) compared the effectiveness of mCIMT with and without BTX-A. Results of both studies indicated that all those who received the BTX-A had less spasticity.  Wolf, Milton, Reiss et al. (2012) concluded that BTX-A results in decreased tone, pain, and improved positioning but a combination of BTX-A with mCIMT versus mCIMT alone does not contribute to increased UE function in chronic stroke survivors. Sun, Hsu, Sun et al. (2010) reported no differences in spasticity between the two groups at one and 3 months, but the experimental group, who received BTX-A and mCIMT, continued to have decreased tone in the elbow, wrist, and hand as well as increased scores on the Action Research Arm Test (ARAT) and Motor Activity Log (MAL) and increased use of the UE at a 6 month follow compared to the group that received BTX-A and NDT. Sun, Hsu, Sun, et al. (2010) also identified the need to assess other potential treatment combinations.

One study has been found that compares the effectiveness of the combined use of BTX-A and manual therapy both with and without the adjunctive use of dynamic splinting on the elbow (Lai, Francisco, & Willis, 2009). Active elbow range of motion and tone, as measured by the Modified Ashworth Score, were measured. The results indicated that the experimental group with the combined the use of adjunctive dynamic splinting, demonstrated a mean 33.5% improvement in AROM and a mean 9.3% improvement on the MAS scores as compared to 18.7% and 8.6% respectively in the control group who did not utilize adjunctive dynamic splinting.

All studies have indicated that BTX-A is effective in managing tone and improving range of motion, however, adjunctive treatments are also necessary to optimize functional improvements with electrical stimulation, dynamic splinting, and repetitive, functional retraining (mCIMT) showing more promising results. All studies recommended categorizing participants based on impairment severity level in order to assess the ability to predict who would benefit most from what type of interventions.

Though no formal study has been completed to date on the use of BTX-A in combination with dynamic hand splinting, you can view a single session video of an individual incorporating the use of the SaeboFlex dynamic hand orthoses after having received BTX-A in the extrinsic finger flexors 7-10 days prior by clicking the following link:http://www.youtube.com/watch?v=khYOweyb29g

Source: How Effective is Botox in Improving UE Function? – SaeboSaebo

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[BOOK] Advanced Robotics for Medical Rehabilitation: Current State of the Art and Recent Advances – Google Books

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