scholarly journals NAO robot for cooperative rehabilitation training

2019 ◽  
Vol 6 ◽  
pp. 205566831986215
Author(s):  
Md Assad-Uz-Zaman ◽  
Md Rasedul Islam ◽  
Suruz Miah ◽  
Mohammad H Rahman
Keyword(s):  
Upper Extremity ◽  
Upper Limb ◽  
External Rotation ◽  
Kinematic Model ◽  
Upper Limb Function ◽  
Nao Robot ◽  
Flexion Extension ◽  
The Disabled ◽  
Upper Extremity Rehabilitation ◽  
Rehabilitation Exercises

Introduction The aim of this research is to develop a robot-assistive training approach for the disabled individuals with impaired upper limb functions. People with impaired upper limb function can regain their motor functionality undergoing intense rehabilitation exercises. With increasing number of disabled individuals, we face deficiency in the number of expert therapists. One promising remedy could be the use of robotic assistive devices. Method To instruct and demonstrate rehabilitation exercise, this research used NAO robot. A library of recommended rehabilitation exercises involving shoulder (i.e., abduction/adduction, vertical flexion/extension, and internal/external rotation), and elbow (i.e., flexion/extension) joint movements was formed in Choregraphe (graphical programming interface). For this purpose, a kinematic model of human upper-extremity was developed based on modified Denavit-Hartenberg notations. Result In experiments, NAO robot gave voice instruction and was maneuvered to cooperate and demonstrate the exercises from the library. NAO also plays some complex game with the subject that represents a multi-joint movement's exercise, which was also included in the library. Conclusions Experimental results with healthy participants reveal that the NAO robot can successfully instruct and demonstrate upper-extremity rehabilitation exercises for single and multi-joint movements. It implies a technical development of cooperative rehabilitation system for which target group will be individuals with upper limb impairment.

scholarly journals Deep Learning-Based Upper Limb Functional Assessment Using a Single Kinect v2 Sensor

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1903 ◽  
Author(s):  
Ye Ma ◽  
Dongwei Liu ◽  
Laisi Cai
Keyword(s):  
Deep Learning ◽  
Upper Limb ◽  
Short Term Memory ◽  
External Rotation ◽  
Kinematic Model ◽  
Elbow Flexion ◽  
Supervised Machine Learning ◽  
Joint Angles ◽  
Kinect V2 ◽  
Flexion Extension

We develop a deep learning refined kinematic model for accurately assessing upper limb joint angles using a single Kinect v2 sensor. We train a long short-term memory recurrent neural network using a supervised machine learning architecture to compensate for the systematic error of the Kinect kinematic model, taking a marker-based three-dimensional motion capture system (3DMC) as the golden standard. A series of upper limb functional task experiments were conducted, namely hand to the contralateral shoulder, hand to mouth or drinking, combing hair, and hand to back pocket. Our deep learning-based model significantly improves the performance of a single Kinect v2 sensor for all investigated upper limb joint angles across all functional tasks. Using a single Kinect v2 sensor, our deep learning-based model could measure shoulder and elbow flexion/extension waveforms with mean CMCs >0.93 for all tasks, shoulder adduction/abduction, and internal/external rotation waveforms with mean CMCs >0.8 for most of the tasks. The mean deviations of angles at the point of target achieved and range of motion are under 5° for all investigated joint angles during all functional tasks. Compared with the 3DMC, our presented system is easier to operate and needs less laboratory space.

EFEITOS DO DEEP RUNNING SOBRE A AMPLITUDE DE MOVIMENTO E A CAPACIDADE FUNCIONAL DOS MEMBROS SUPERIORES DE MULHERES MASTECTOMIZADAS: RELATO DE CASOS

2019 ◽  
pp. 121-131
Keyword(s):  
Range Of Motion ◽  
Upper Limb ◽  
Functional Capacity ◽  
External Rotation ◽  
Treatment Protocol ◽  
Range Of Movement ◽  
Flexion Extension ◽  
Before And After ◽  
In The Beginning ◽  
And Function

Introduction: Breast cancer is the most common type of cancer among women in Brazil and in the worl. The surgical treatment procedure may cause severe morbidity in the upper limb homolateral to surgery, including the reduction of the range of motion, with consequent impairment of function. A physiotherapeutic approach has an important role in the recover range of motion and the functionality of these women, guaranteeing the occupational, domestestic, familiar and conjugated activities, and, in this way, also improving the quality of life. Objectives: To analyse chances in the shoulder's range of motion and the functional capacity of the upper limbs, promoted by the deep running procedure in women with late postoperative mastectomy. Methods: All the patients were submitted to an evaluation in the beginning and end of the treatment, including: goniometry of flexion, extension, abduction, adduction, internal and external rotation of the shoulder joint; and function capacity analysis in activities that involve the upper members by DASH questionnaire. The treatment protocol includes twelve sessions of deep running, realized twice a week, in deep pool, for 20-minute during six weeks. Results: Were submitted to treatment a total of 4 patients. Despite the improvement in the numerical values, statistically significant differences were not found on the range of movements and in the functional capacity of upper members before and after the deep running sessions in post-mastectomy women. Conclusion: Deep running had effects on the numerical values of range of movement and upper limb functionality in women in the late postoperative period of the mastectomy procedure, but without statistically significant differences.

scholarly journals Unimanual Intensive Therapy with or without Unaffected Hand Containment in Children with Hemiplegia. A Randomized Controlled Pilot Study

2020 ◽  
Vol 9 (9) ◽  
pp. 2992
Author(s):  
Rocío Palomo-Carrión ◽  
Elena Pinero-Pinto ◽  
Sara Ando-LaFuente ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Esteban ◽  
...  
Keyword(s):  
Pilot Study ◽  
Upper Extremity ◽  
Upper Limb ◽  
Intensive Therapy ◽  
Randomized Controlled ◽  
Upper Limb Function ◽  
Constraint Induced Movement Therapy ◽  
Quality Of Movement ◽  
Quest Scale

Children with hemiplegia have lower spontaneous use and quality of movement in the affected upper limb. The modified constraint-induced movement therapy (mCIMT) is applied to improve the affected upper limb function. The objective of this study was to study the efficacy of unaffected hand containment to obtain changes in the function of the affected upper limb after applying two unimanual therapies. A randomized controlled pilot study was performed with 16 children diagnosed with congenital infantile hemiplegia, with eight children randomized in each group (average age: 5.54 years; SD: 1.55). mCIMT and unimanual therapy without containment (UTWC) were applied, with a total of 50 h distributed in five weeks (two h/per day). Two assessments were performed (pre- and post-treatment) to evaluate the affected upper limb spontaneous use, measured with the Shiners Hospital Upper Extremity Evaluation (SHUEE), and the quality of movement, measured with the Quality of Upper Extremity Skills Test (QUEST scale). The progression of the variables was different in both groups. The results are expressed in the median of the improvement percent and interquartile range (IQR). The spontaneous use analysis showed an improvement percent of 31.65 (IQR: 2.33, 110.42) in the mCIMT group with respect to 0.00 (IQR: 0.00, 0.00) in the UTWC group. The quality of movement increased in the mCIMT and UTWC groups, 24.21 (IQR: 13.44, 50.39), 1.34 (IQR: 0.00, 4.75), respectively and the greatest increase was obtained in the grasp variable for both groups. The use of unaffected hand containment in mCIMT would produce improvements in the affected upper limb functionality in children with hemiplegia (4–8 years old) compared to the same protocol without containment (UTWC).

Development of a whole arm wearable robotic exoskeleton for rehabilitation and to assist upper limb movements

Robotica ◽  
2014 ◽  
Vol 33 (1) ◽  
pp. 19-39 ◽  
Author(s):  
M. H. Rahman ◽  
M. J. Rahman ◽  
O. L. Cristobal ◽  
M. Saad ◽  
J. P. Kenné ◽  
...  
Keyword(s):  
Upper Limb ◽  
Wrist Joint ◽  
External Rotation ◽  
Lateral Side ◽  
Limb Movements ◽  
Rehabilitation Therapy ◽  
Robotic Exoskeleton ◽  
Flexion Extension ◽  
Upper Limb Movements ◽  
Physically Disabled People

SUMMARYTo assist physically disabled people with impaired upper limb function, we have developed a new 7-DOF exoskeleton-type robot named Motion Assistive Robotic-Exoskeleton for Superior Extremity (ETS-MARSE) to ease daily upper limb movements and to provide effective rehabilitation therapy to the superior extremity. The ETS-MARSE comprises a shoulder motion support part, an elbow and forearm motion support part, and a wrist motion support part. It is designed to be worn on the lateral side of the upper limb in order to provide naturalistic movements of the shoulder (vertical and horizontal flexion/extension and internal/external rotation), elbow (flexion/extension), forearm (pronation/supination), and wrist joint (radial/ulnar deviation and flexion/extension). This paper focuses on the modeling, design, development, and control of the ETS-MARSE. Experiments were carried out with healthy male human subjects in whom trajectory tracking in the form of passive rehabilitation exercises (i.e., pre-programmed trajectories recommended by a therapist/clinician) were carried out. Experimental results show that the ETS-MARSE can efficiently perform passive rehabilitation therapy.

scholarly journals A three dimensional multiplane kinematic model for bilateral hind limb gait analysis in cats

2018 ◽  
Author(s):  
Nathan P. Brown ◽  
Gina E. Bertocci ◽  
Kimberly A. Cheffer ◽  
Dena R. Howland
Keyword(s):  
Gait Analysis ◽  
Hind Limb ◽  
Sagittal Plane ◽  
External Rotation ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Joint Angles ◽  
Plane Model ◽  
Flexion Extension ◽  
Joint Flexion

AbstractBackground: Kinematic gait analysis is an important noninvasive technique used for quantitative evaluation and description of locomotion and other movements in healthy and injured populations. Three dimensional (3D) kinematic analysis offers additional outcome measures including internal-external rotation not characterized using sagittal plane analysis techniques.Methods: The objectives of this study were to 1) develop and evaluate a 3D hind limb multiplane kinematic model for gait analysis in cats using joint coordinate systems, 2) implement and compare two 3D stifle (knee) prediction techniques, and 3) compare flexion-extension determined using the multiplane model to a sagittal plane model. Walking gait was recorded in 3 female adult cats (age = 2.9 years, weight = 3.5 ± 0.2 kg). Kinematic outcomes included flexion-extension, internal-external rotation, and abduction-adduction of the hip, stifle, and tarsal (ankle) joints.Results: Each multiplane stifle prediction technique yielded similar findings. Joint angles determined using markers placed on skin above bony landmarks in vivo were similar to joint angles determined using a feline hind limb skeleton in which markers were placed directly on landmarks ex vivo. Differences in hip, stifle, and tarsal joint flexion-extension were demonstrated when comparing the multiplane model to the sagittal plane model.Conclusions: This multiplane cat kinematic model can predict joint rotational kinematics as a tool that can quantify frontal, transverse, and sagittal plane motion. This model has multiple advantages given its ability to characterize joint internal-external rotation and abduction-adduction. A further, important benefit is greater accuracy in representing joint flexion-extension movements.

scholarly journals Placement Recommendations for Single Kinect-Based Motion Capture System in Unilateral Dynamic Motion Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1076
Author(s):  
Laisi Cai ◽  
Dongwei Liu ◽  
Ye Ma
Keyword(s):  
Motion Analysis ◽  
Motion Capture ◽  
Upper Limb ◽  
Kinematic Model ◽  
Sensor Placement ◽  
Motion Capture System ◽  
Kinect Sensor ◽  
3D Motion ◽  
Flexion Extension ◽  
3D Motion Capture

Low-cost, portable, and easy-to-use Kinect-based systems achieved great popularity in out-of-the-lab motion analysis. The placement of a Kinect sensor significantly influences the accuracy in measuring kinematic parameters for dynamics tasks. We conducted an experiment to investigate the impact of sensor placement on the accuracy of upper limb kinematics during a typical upper limb functional task, the drinking task. Using a 3D motion capture system as the golden standard, we tested twenty-one Kinect positions with three different distances and seven orientations. Upper limb joint angles, including shoulder flexion/extension, shoulder adduction/abduction, shoulder internal/external rotation, and elbow flexion/extension angles, are calculated via our developed Kinect kinematic model and the UWA kinematic model for both the Kinect-based system and the 3D motion capture system. We extracted the angles at the point of the target achieved (PTA). The mean-absolute-error (MEA) with the standard represents the Kinect-based system’s performance. We conducted a two-way repeated measure ANOVA to explore the impacts of distance and orientation on the MEAs for all upper limb angles. There is a significant main effect for orientation. The main effects for distance and the interaction effects do not reach statistical significance. The post hoc test using LSD test for orientation shows that the effect of orientation is joint-dependent and plane-dependent. For a complex task (e.g., drinking), which involves body occlusions, placing a Kinect sensor right in front of a subject is not a good choice. We suggest that place a Kinect sensor at the contralateral side of a subject with the orientation around 30∘ to 45∘ for upper limb functional tasks. For all kinds of dynamic tasks, we put forward the following recommendations for the placement of a Kinect sensor. First, set an optimal sensor position for capture, making sure that all investigated joints are visible during the whole task. Second, sensor placement should avoid body occlusion at the maximum extension. Third, if an optimal location cannot be achieved in an out-of-the-lab environment, researchers could put the Kinect sensor at an optimal orientation by trading off the factor of distance. Last, for those need to assess functions of both limbs, the users can relocate the sensor and re-evaluate the functions of the other side once they finish evaluating functions of one side of a subject.

scholarly journals Measures of Interjoint Coordination Post-stroke Across Different Upper Limb Movement Tasks

2021 ◽  
Vol 8 ◽  
Author(s):  
Anne Schwarz ◽  
Janne M. Veerbeek ◽  
Jeremia P. O. Held ◽  
Jaap H. Buurke ◽  
Andreas R. Luft
Keyword(s):  
Upper Limb ◽  
Elbow Flexion ◽  
Shoulder Abduction ◽  
Kinematic Parameters ◽  
Limb Function ◽  
Interjoint Coordination ◽  
Upper Limb Function ◽  
Shoulder Flexion ◽  
Flexion Extension ◽  
Median Slope

Background: Deficits in interjoint coordination, such as the inability to move out of synergy, are frequent symptoms in stroke subjects with upper limb impairments that hinder them from regaining normal motor function. Kinematic measurements allow a fine-grained assessment of movement pathologies, thereby complementing clinical scales, like the Fugl–Meyer Motor Assessment of the Upper Extremity (FMMA-UE). The study goal was to investigate the effects of the performed task, the tested arm, the dominant affected hand, upper limb function, and age on spatiotemporal parameters of the elbow, shoulder, and trunk. The construct validity of the metrics was examined by relating them with each other, the FMMA-UE, and its arm section.Methods: This is a cross-sectional observational study including chronic stroke patients with mild to moderate upper limb motor impairment. Kinematic measurements were taken using a wearable sensor suit while performing four movements with both upper limbs: (1) isolated shoulder flexion, (2) pointing, (3) reach-to-grasp a glass, and (4) key insertion. The kinematic parameters included the joint ranges of shoulder abduction/adduction, shoulder flexion/extension, and elbow flexion/extension; trunk displacement; shoulder–elbow correlation coefficient; median slope; and curve efficiency. The effects of the task and tested arm on the metrics were investigated using a mixed-model analysis. The validity of metrics compared to clinically measured interjoint coordination (FMMA-UE) was done by correlation analysis.Results: Twenty-six subjects were included in the analysis. The movement task and tested arm showed significant effects (p < 0.05) on all kinematic parameters. Hand dominance resulted in significant effects on shoulder flexion/extension and curve efficiency. The level of upper limb function showed influences on curve efficiency and the factor age on median slope. Relations with the FMMA-UE revealed the strongest and significant correlation for curve efficiency (r = 0.75), followed by shoulder flexion/extension (r = 0.68), elbow flexion/extension (r = 0.53), and shoulder abduction/adduction (r = 0.49). Curve efficiency additionally correlated significantly with the arm subsection, focusing on synergistic control (r = 0.59).Conclusion: The kinematic parameters of the upper limb after stroke were influenced largely by the task. These results underpin the necessity to assess different relevant functional movements close to real-world conditions rather than relying solely on clinical measures.Study Registration: clinicaltrials.gov, identifier NCT03135093 and BASEC-ID 2016-02075.

scholarly journals Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers

2021 ◽  
Vol 12 ◽  
Author(s):  
Michela Goffredo ◽  
Sanaz Pournajaf ◽  
Stefania Proietti ◽  
Annalisa Gison ◽  
Federico Posteraro ◽  
...  
Keyword(s):  
Upper Limb ◽  
External Rotation ◽  
Predictive Biomarkers ◽  
Motor Recovery ◽  
Post Treatment ◽  
Kinematic Parameters ◽  
Kinematic Data ◽  
Subacute Stroke ◽  
Flexion Extension ◽  
Pre Treatment

Background: The efficacy of upper-limb Robot-assisted Therapy (ulRT) in stroke subjects is well-established. The robot-measured kinematic data can assess the biomechanical changes induced by ulRT and the progress of patient over time. However, literature on the analysis of pre-treatment kinematic parameters as predictive biomarkers of upper limb recovery is limited.Objective: The aim of this study was to calculate pre-treatment kinematic parameters from point-to-point reaching movements in different directions and to identify biomarkers of upper-limb motor recovery in subacute stroke subjects after ulRT.Methods: An observational retrospective study was conducted on 66 subacute stroke subjects who underwent ulRT with an end-effector robot. Kinematic parameters were calculated from the robot-measured trajectories during movements in different directions. A Generalized Linear Model (GLM) was applied considering the post-treatment Upper Limb Motricity Index and the kinematic parameters (from demanding directions of movement) as dependent variables, and the pre-treatment kinematic parameters as independent variables.Results: A subset of kinematic parameters significantly predicted the motor impairment after ulRT: the accuracy in adduction and internal rotation movements of the shoulder was the major predictor of post-treatment Upper Limb Motricity Index. The post-treatment kinematic parameters of the most demanding directions of movement significantly depended on the ability to execute elbow flexion-extension and abduction and external rotation movements of the shoulder at baseline.Conclusions: The multidirectional analysis of robot-measured kinematic data predicts motor recovery in subacute stroke survivors and paves the way in identifying subjects who may benefit more from ulRT.

scholarly journals Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Laisi Cai ◽  
Ye Ma ◽  
Shuping Xiong ◽  
Yanxin Zhang
Keyword(s):  
Upper Limb ◽  
Functional Assessment ◽  
Kinematic Model ◽  
Assessment System ◽  
Microsoft Kinect ◽  
Validity And Reliability ◽  
Retest Reliability ◽  
Kinect V2 ◽  
Flexion Extension ◽  
Test Retest Reliability

Objective. To quantify the concurrent accuracy and the test-retest reliability of a Kinect V2-based upper limb functional assessment system. Approach. Ten healthy males performed a series of upper limb movements, which were measured concurrently with Kinect V2 and the Vicon motion capture system (gold standard). Each participant attended two testing sessions, seven days apart. Four tasks were performed including hand to contralateral shoulder, hand to mouth, combing hair, and hand to back pocket. Upper limb kinematics were calculated using our developed kinematic model and the UWA model for Kinect V2 and Vicon. The interdevice coefficient of multiple correlation (CMC) and the root mean squared error (RMSE) were used to evaluate the validity of the kinematic waveforms. Mean absolute bias and Pearson’s r correlation were used to evaluate the validity of the angles at the points of target achieved (PTA) and the range of motion (ROM). The intersession CMC and RMSE and the intraclass correlation coefficient (ICC) were used to assess the test-retest reliability of Kinect V2. Main Results. Both validity and reliability are found to be task-dependent and plane-dependent. Kinect V2 had good accuracy in measuring shoulder and elbow flexion/extension angular waveforms (CMC>0.87), moderate accuracy of measuring shoulder adduction/abduction angular waveforms (CMC=0.69-0.82), and poor accuracy of measuring shoulder internal/external angles (CMC<0.6). We also found high test-retest reliability of Kinect V2 in most of the upper limb angular waveforms (CMC=0.75-0.99), angles at the PTA (ICC=0.65-0.91), and the ROM (ICC=0.68-0.96). Significance. Kinect V2 has great potential as a low-cost, easy implemented device for assessing upper limb angular waveforms when performing functional tasks. The system is suitable for assessing relative within-person change in upper limb motions over time, such as disease progression or improvement due to intervention.

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