Identifying compensatory movement patterns in the upper extremity using a wearable sensor system

Ranganathan, Rajiv; Wang, Rui; Dong, Bo; Biswas, Subir

doi:10.1088/1361-6579/aa9835

Cited by 35 publications

(33 citation statements)

References 27 publications

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“…Compared with the F1 scores in healthy participants, the F1 scores in patients with stroke with our method were higher (average F1 score > 0.95). This finding is consistent with the results in previous research [18], [44] in which a sensor-based system was developed to detect compensatory trunk movements in healthy participants (average F1 score = 0.907) and patients with stroke (average F1 score = 0.928). These results indicate that classifiers trained on data simulated by healthy participants also have the potential to be applied in detecting compensation in patients with stroke.…”

Section: Discussionsupporting

confidence: 92%

Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy

Cai

et al. 2020

IEEE J. Biomed. Health Inform.

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Objectives: Compensations are commonly employed by patients with stroke during rehabilitation without therapist supervision, leading to suboptimal recovery outcomes. This study investigated the feasibility of the realtime monitoring of compensation in patients with stroke by using pressure distribution data and machine learning algorithms. Whether trunk compensation can be reduced by combining the online detection of compensation and haptic feedback of a rehabilitation robot was also investigated. Methods: Six patients with stroke did three forms of reaching movements while pressure distribution data were recorded as Dataset1. A support vector machine (SVM) classifier was trained with features extracted from Dataset1. Then, two other patients with stroke performed reaching tasks, and the SVM classifier trained by Dataset1 was employed to classify the compensatory patterns online. Based on the real-time monitoring of compensation, a rehabilitation robot provided an assistive force to patients with stroke to reduce compensations. Results: Good classification performance (F1 score > 0.95) was obtained in both offline and online compensation analysis using the SVM classifier and pressure distribution data of patients with stroke. Based on the real-time detection of compensatory patterns, the angles of trunk rotation, trunk lean-forward and trunk-scapula elevation decreased by 46.95%, 32.35% and 23.75%, respectively. Conclusion: High classification accuracies verified the feasibility of detecting compensation in patients with stroke based on pressure distribution data. Since the validity and reliability of the online detection of compensation has been verified, this classifier can Manuscript

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Section: Discussionsupporting

confidence: 92%

Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy

Cai

et al. 2020

IEEE J. Biomed. Health Inform.

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“…We determined the presence of ulnar or radial compensation if there was an RD or UD value higher than 5°, respectively. 6 If not, we determined it to be neutral deviation peak. We also recorded surface EMG signals using a multichannel Pocket Free EMG system (BTS) operating at a sampling rate of 1000 Hz, and bandpass filtered at 10-500 Hz (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…5 The use of IMU is not limited to the evaluation of the articular ROM, but it can also evaluate the presence of compensatory movements (CM) during the execution of tests, which are movements of other anatomical districts that compensate for the movement deficit of the pathological district. 6 Based on our knowledge, there are not many studies investigating the biomechanics of movement by comparing two different surgical techniques using IMU, and for this reason, we applied the IMU for the evaluation of articular ROM in patients who had undergone surgery for distal radius fractures, treated with closed reduction and fixation with percutaneous Kirschner wires (KWF) or open reduction and internal fixation with volar plate and screws (VPF).…”

Section: Introductionmentioning

confidence: 99%

Movement Analysis with Inertial Measurement Unit Sensor After Surgical Treatment for Distal Radius Fractures

Zucchi

Mangone

Agostini

et al. 2020

BioResearch Open Access

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Inertial measurement unit (IMU) has recently been used to evaluate a movement of a body segment to provide accurate information of movement's characteristics. IMU systems have been validated to successfully measure joint angle during upper limb range of motion (ROM). The study aimed to retrospectively evaluate, using an IMU, the ROM recovery of the wrist after surgical treatment for distal-radius fractures with Kirschner wire fixation (KWF) or with volar plate fixation (VPF) and screws. To assess pain in the wrist joint, muscle-fatigue (MF), and functional difficulties in activities of daily living, we evaluated the patients through patient-related wrist evaluation questionnaire (PRWE) scale, disability of the arm, shoulder and hand (DASH) scale, Hand Grip Strength (HGS), and surface electromyography (EMG). We used a single IMU composed of three-axis gyroscope, a three-axis accelerometer, and a magnetometer. We calculated the value of ROM as a percentage with respect to the unaffected wrist. We also recorded surface-EMG signals over biceps brachialis, flexor carpi radialis (FCR), extensor carpi radialis (ECR), and pronator teres muscles. Forty patients were recruited for our study. Ulnar deviation (UD) was significantly higher for VPF than for KWF (p = 0.017); supination was significantly higher for VPF than for KWF (p = 0.031). The percentage of decay of the median frequency of FCR of volar plate was significantly higher than KWF. The HGS of KWF was significantly higher than VPF. In literature, there were no significant differences between the two types of treatment at long-term follow-up. Our results demonstrate a superior efficacy of VPF in terms of ROM improvement in UD and supination, but for these patients, muscle fatigue is greater than the KWF group. Based on the data available, VPF is similar to KWF for the treatment of distal radius fractures. The IMU sensor could be used in the future to evaluate ROM after surgery during patient's rehabilitation and to compare the effects with stratified analysis regarding age and fracture type, paralleled with cost-effectiveness analysis.

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“…Previous studies on MRI examination of ankle ligaments usually change the position of the ankle joint and change the shape of the ligament so that the ligaments that need to be displayed can be displayed on orthogonal axes [36]- [39]. It is pointed out that the different positions of the ankle joint have an important effect on the display of the ligament [40]- [42]. Other studies have more used the supine position of the lower ankle joint with natural plantar flexion of about 20 • and a mild post-spinning relaxed position [43].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Clinical Value of Weight-Bearing Magnetic Resonance Diagnosis of Ankle Ligament Sports Injury

Hong-mei

Feng²

2020

IEEE Access

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Observe and analyze the effect of weighted magnetic resonance imaging in the diagnosis of ankle ligament sports injury. Methods: A total of 50 patients with ankle ligament sports injuries were recruited as research subjects to conduct clinical diagnostic research. After admission, the patient first underwent MRI diagnosis of ankle joint ligament sports injury and then received surgical treatment. Based on the results of surgical treatment, the diagnostic effect of weighted magnetic resonance imaging and the detection of concurrent injuries were compared. After surgery, a total of 24 cases of ankle ligament contusion were confirmed in 50 patients, 19 cases were partially ruptured, 7 cases were completely ruptured, and 26 cases had joint effusion, tendon injuries in 17 cases, fractures in 8 cases, and talar articular cartilage lesions in 19 cases. After comparison, there was no significant difference between the results of weight-bearing magnetic resonance diagnosis and the detection rate of concurrent injuries compared with the surgical results, P> 0.05. Conclusion: The application of weight-bearing magnetic resonance imaging in the diagnosis of ankle ligament sports injury can effectively diagnose the patient's ligament injury and the type of combined injury, and has significant clinical application value.

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Identifying compensatory movement patterns in the upper extremity using a wearable sensor system

Abstract: These results show the potential of the wearable system to assess and monitor compensatory movements outside of a lab setting.

Cited by 35 publications

References 27 publications

Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy

Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy

Movement Analysis with Inertial Measurement Unit Sensor After Surgical Treatment for Distal Radius Fractures

Analysis of Clinical Value of Weight-Bearing Magnetic Resonance Diagnosis of Ankle Ligament Sports Injury

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