Study Results
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Basic Information
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COMPLETED
NA
20 participants
INTERVENTIONAL
2018-04-06
2020-05-31
Brief Summary
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The aims of the study are 1- to investigate the effectiveness of the EMG-driven exoskeleton for hand rehabilitation in patients with acute stroke. 2- to understand which group of the patients may give the best response to the EMG-driven technology and how should be the treatment protocol designed.
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Detailed Description
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To support and speed up a recovery process, there are many robotic devices currently used in the stroke units. Unlike one-on-one treatment applied by clinicans, robotic devices can provide repetitive, task oriented movements,with greater intensity, stimulating and engaging environment for user, hence alleviating the labour-intensive aspects of hands-on conventional therapy. There are a number of complex robotic devices that have been developed over the last two decades to assist upper arm training in rehabilitation.
Using EMG driven exoskeleton, commercially known as the Hand of Hope (HOH), has been shown its efficacy to improve patient's grip and pinch ability, muscle coordination and improve functional daily living tasks in patients even after 3,4,8,10 and 14 years after onset of the stroke. In addition to continuous investigation efforts needed to be spent, there has not been established any treatment protocol using EMG-driven exoskeletons. Since Stroke patients need to be focused on their own residual muscle power, clear indications for EMG-driven exoskeletons i.e., Hand of Hope, need to be established.
An investigation designed to highlight all these points will make an important contribution to the therapeutic approach using EMG-driven hand robotics for the hand rehabilitation after stroke.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Robotic rehabilitation
Active Comparator: Robotic rehabilitation
Protocol with EMG-driven hand exoskeleton (Hand of Hope):
Warm-up: 10 min passive mode 2 min resting
Training: According to residual muscle power:
* 10 min active-assistive, 2 min resting, 10 min Active-assistive or
* 5 min active, 2 min resting, 15 min active assistive or
* 10 min active, 2 min resting, 10 min active and
* 10 min window cleaning game Robotic rehabilitation will be applied 5 times a week; Totally 15 sessions (3 weeks). Conventional physiotherapy also will be performed to the robotic rehabilitation group.
EMG-driven exoskeleton hand robot
Primary Outcome Measurement:
1\. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
1. Action Research Arm Test
2. Motor Activity Log
3. Data from force and EMG measurement records of HOH robot
4. Grip strength (with hand dynamometer)
5. Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
6. Manuel muscle testing for wrist and finger muscles.
7. Modify Asworth sclale At the beginning of each robotic treatment session, superficial EMG recording will be taken at relax position ( without muscle contraction) and then during maximal voluntary isometric contraction (MVC) after the patient's hand is placed in the exoskeleton. For both, EMG recording is performed for 7 seconds and Root Mean Square (RMS) is calculated from this record.
Conventional physiotherapy
Primary Outcome Measurement:
1\. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
1. Action Research Arm Test
2. Motor Activity Log
3. Data from force and EMG measurement records of HOH robot
4. Grip strength (with hand dynamometer)
5. Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
6. Manuel muscle testing for wrist and finger muscles.
7. Modify Asworth sclale
conventional physiotherapy
Conventional Physiotherapy will be performed to the both group 5 sessions a week and totally 15 sessions (3 weeks).
Conventional physiotherapy will include neurophysiological approaches. Each session will last around 1,5 hours.
Conventional physiotherapy
Primary Outcome Measurement:
1\. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
1. Action Research Arm Test
2. Motor Activity Log
3. Data from force and EMG measurement records of HOH robot
4. Grip strength (with hand dynamometer)
5. Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
6. Manuel muscle testing for wrist and finger muscles.
7. Modify Asworth sclale
Interventions
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EMG-driven exoskeleton hand robot
Primary Outcome Measurement:
1\. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
1. Action Research Arm Test
2. Motor Activity Log
3. Data from force and EMG measurement records of HOH robot
4. Grip strength (with hand dynamometer)
5. Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
6. Manuel muscle testing for wrist and finger muscles.
7. Modify Asworth sclale At the beginning of each robotic treatment session, superficial EMG recording will be taken at relax position ( without muscle contraction) and then during maximal voluntary isometric contraction (MVC) after the patient's hand is placed in the exoskeleton. For both, EMG recording is performed for 7 seconds and Root Mean Square (RMS) is calculated from this record.
Conventional physiotherapy
Primary Outcome Measurement:
1\. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
1. Action Research Arm Test
2. Motor Activity Log
3. Data from force and EMG measurement records of HOH robot
4. Grip strength (with hand dynamometer)
5. Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
6. Manuel muscle testing for wrist and finger muscles.
7. Modify Asworth sclale
Eligibility Criteria
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Inclusion Criteria
* Being at the age 18 and older than 18
* Providing a sitting balance during the robot training (maximum 1 hour with preparation time)
* Understanding and performing simple commands
* Full range of motion in MCP, PIP and DIP
* MAS \< 3 for finger flexors and extensors
* Participants who agree to participate in the study
Exclusion Criteria
* Other neurologic or orthopedic problems that may affect to upper extremity functions
* Hemispatial neglect (will be diagnosed by Line bisection test and The star cancellation test)
* Refused treatment, non-cooperation
* MAS ≥ 3 (MAS will be measured every week during the treatment period)
18 Years
ALL
No
Sponsors
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Medipol University
OTHER
Medical Park Hospital Istanbul
OTHER
Rehab-Robotics Company Limited
INDUSTRY
Bahçeşehir University
OTHER
Responsible Party
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Dilber Karagozoglu Coskunsu
Principal Investigator
Principal Investigators
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Dilber Karagozoglu Coskunsu, Ass.Prof.
Role: PRINCIPAL_INVESTIGATOR
Bahçeşehir University
Sumeyye Akcay, PT
Role: STUDY_CHAIR
Bahçeşehir University
Özden Erkan Oğul, Ass.Prof.
Role: STUDY_CHAIR
Medipol University
Kubra Yıldırım, PT
Role: STUDY_CHAIR
IAU Medical Park Florya Hospital
Yakup Krespi, Prof.
Role: STUDY_CHAIR
IAU Medical Park Florya Hospital
Haris Begovic, PhD
Role: STUDY_CHAIR
Hong Kong Polytechnic University
Necla Öztürk, Prof.
Role: STUDY_CHAIR
Maltepe University
Locations
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Dilber Karagozoglu Coskunsu
Istanbul, Europe, Turkey (Türkiye)
Countries
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Other Identifiers
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Bahcesehir University
Identifier Type: -
Identifier Source: org_study_id
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