LOVETT scalling with MYO armband for monitoring finger muscles therapy of post-stroke people

Hidayat, Achmad Alfian; Arief, Zainal; Yuniarti, Heny

doi:10.1109/elecsym.2016.7860977

Cited by 11 publications

(7 citation statements)

References 9 publications

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“…The subjects’ walking floor was considered normal when it approximated hip width; however, when the distance between the ankles was noticeably shorter or longer than hip-width, the walking base was considered abnormal. The patient’s degree of independence was determined using the Barthel Index, and balance was assessed with the Romberg test [ 43 ]. The Romberg test was carried out 3 times, and the given result is the average value.…”

Section: Methodsmentioning

confidence: 99%

Effect of Treadmill Training with Visual Biofeedback on Selected Gait Parameters in Subacute Hemiparetic Stroke Patients

Kaźmierczak

Wareńczak

Miedzyblocki

et al. 2022

IJERPH

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Background: Functional limitations after a stroke are unique to each person and often include impaired independent mobility. A reduction in existing gait deficits after a stroke is often one of the main goals of rehabilitation. Gait re-education after stroke is a complex process, which consists of the effects of many therapeutic interventions. Objective: The study aimed to analyze the effects of using a treadmill with visual feedback in gait re-education in the sub-acute stroke period and assess the impact of biofeedback treadmill training on selected gait parameters, improving static balance and reducing the need for orthopedic aids. Methods: The study included 92 patients (F: 45, M: 47) aged 63 ± 12 years, with post-ischemic sub-acute (within six months onset) stroke hemiparesis, treated at a neurological rehabilitation ward. All patients participated in a specific rehabilitation program, and in addition, patients in the study group (n = 62) have a further 10 min of treadmill training with visual feedback. Patients in the control group (n = 30) participated in additional conventional gait training under the direct supervision of a physiotherapist. The evaluation of static balance was assessed with the Romberg Test. A Biodex Gait Trainer 3 treadmill with biofeedback function was used to evaluate selected gait parameters (walking speed, step length, % limb loading, and traveled distance). The use of an orthopedic aid (walker or a crutch) was noted. Results: After four weeks of rehabilitation, step length, walking speed, traveled distance, and static balance were significantly improved for the study and control group (p < 0.05). Treadmill gait training yielded significantly better results than a conventional rehabilitation program. Only the study group observed a corrected walking base (p < 0.001). All participants showed a reduction in the use of walking aids (p = 0.006). There was no asymmetry in the % of limb loading for either group prior to or following rehabilitation. Conclusions: The treadmill with visual biofeedback as conventional gait training has resulted in a significant improvement in parameters such as step length, walking speed, static balance, and a reduction in the use of locomotion aids. However, the achieved improvement in gait parameters is still not in line with the physiological norm.

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Section: Methodsmentioning

confidence: 99%

Effect of Treadmill Training with Visual Biofeedback on Selected Gait Parameters in Subacute Hemiparetic Stroke Patients

Kaźmierczak

Wareńczak

Miedzyblocki

et al. 2022

IJERPH

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“…For evaluating the correlation between patients' muscle strength and their fused motion data, three senior rehabilitation specialists each with more than 20 years of clinical practice evaluated and graded the nine patients' muscle strength scores. Lovett muscle strength grading standard was used (26). In this standard, grade 0 indicates that there is no movement observed whereas grade 5 indicates that the person's muscle contract normal against full resistance (healthy individuals) (26).…”

Section: Protocolmentioning

confidence: 99%

“…Lovett muscle strength grading standard was used (26). In this standard, grade 0 indicates that there is no movement observed whereas grade 5 indicates that the person's muscle contract normal against full resistance (healthy individuals) (26). Table 4 shows the muscle strength grade of each recruited patient.…”

Section: Protocolmentioning

confidence: 99%

Occupational Therapy Assessment for Upper Limb Rehabilitation: A Multisensor-Based Approach

Mahmoud

Cao

et al. 2021

Front. Digit. Health

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Most post-stroke patients experience varying degrees of impairment in upper limb function and fine motor skills. Occupational therapy (OT) with other rehabilitation trainings is beneficial in improving the strength and dexterity of the impaired upper limb. An accurate upper limb assessment should be conducted before prescribing upper limb OT programs. In this paper, we present a novel multisensor method for the assessment of upper limb movements that uses kinematics and physiological sensors to capture the movement of the limbs and the surface electromyogram (sEMG). These sensors are Kinect, inertial measurement unit (IMU), Xsens, and sEMG. The key assessment features of the proposed model are as follows: (1) classification of OT exercises into four classes, (2) evaluation of the quality and completion of the OT exercises, and (3) evaluation of the relationship between upper limb mobility and muscle strength in patients. According to experimental results, the overall accuracy for OT-based motion classification is 82.2%. In addition, the fusing of Kinect and Xsens data reveals that muscle strength is highly correlated with the data with a correlation coefficient (CC) of 0.88. As a result of this research, occupational therapy specialists will be able to provide early support discharge, which could alleviate the problem of the great stress that the healthcare system is experiencing today.

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“…By combining MYO (EMG and accelerometer sensor) with Unity 3D application, it is possible to display the data as a 3D visual hand movement. It can help the doctor to measure the Lovett scale and better adjust the treatment [8].…”

Section: Related Workmentioning

confidence: 99%

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

Pastornicky¹,

Chovanec²

2020

AEI

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The article deals with the possibilities of interaction in the virtual environment (VE) of the CAVE LIRKIS system. Commonly available peripherals are keyboard, mouse or gamepad. However, these do not provide a sufficient level of immersion, such as hand gestures. The MYO armband has proven to be one of the potential devices for improving interaction. Therefore, a system for editing an object transformation in VE was created using hand gestures and movements. Enhancing the natural user interface (NUI) of the system with additional interaction capabilities has proven the device to be suitable also for further development.

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LOVETT scalling with MYO armband for monitoring finger muscles therapy of post-stroke people

Cited by 11 publications

References 9 publications

Effect of Treadmill Training with Visual Biofeedback on Selected Gait Parameters in Subacute Hemiparetic Stroke Patients

Effect of Treadmill Training with Visual Biofeedback on Selected Gait Parameters in Subacute Hemiparetic Stroke Patients

Occupational Therapy Assessment for Upper Limb Rehabilitation: A Multisensor-Based Approach

Gesture Interaction in the Lirkis Cave Based on Emg and Kinect Sensor

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