Robotic Rehabilitation in Patients With Acute Stroke
Study Details
Study Description
Brief Summary
The advantage of the EMG-driven exoskeletons is that patient's own muscle power known as Residual Muscle Power is used to move the extremity while many other robotic devices work and drive impaired limb based on machine directed force. However, it is not clear which group of patients are suitable for EMG driven exoskeletons use and there has not been any established treatment protocol.
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.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
Improving the rehabilitation outcome of the upper extremity in stroke patients has been an ongoing challenge in the rehabilitation field. Up to 85% of stroke survivors experience a certain degree of paresis of the upper limb at the onset and only 20% to 56% of survivors regain complete functional use of the affected upper limb despite the therapeutic interventions in first 3 months . Recovery of upper limb function is generally slower and non-complete.
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.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Active Comparator: 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. |
Device: EMG-driven exoskeleton hand robot
Primary Outcome Measurement:
1. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
Action Research Arm Test
Motor Activity Log
Data from force and EMG measurement records of HOH robot
Grip strength (with hand dynamometer)
Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
Manuel muscle testing for wrist and finger muscles.
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.
Other: Conventional physiotherapy
Primary Outcome Measurement:
1. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
Action Research Arm Test
Motor Activity Log
Data from force and EMG measurement records of HOH robot
Grip strength (with hand dynamometer)
Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
Manuel muscle testing for wrist and finger muscles.
Modify Asworth sclale
|
Active Comparator: 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. |
Other: Conventional physiotherapy
Primary Outcome Measurement:
1. Fugl-Meyer Upper Extremity Assessment
Secondary Outcome Measurements:
Action Research Arm Test
Motor Activity Log
Data from force and EMG measurement records of HOH robot
Grip strength (with hand dynamometer)
Range of motion measurements of Wrist, and MCP, PIP and DIP joints of the fingers
Manuel muscle testing for wrist and finger muscles.
Modify Asworth sclale
|
Outcome Measures
Primary Outcome Measures
- Fugl-Meyer Upper Extremity Assessment: [Change from pre-interventional Fugl-Meyer Upper Extremity score at the end of the 15 sessions intervention that will be performed 5 days in a week at a total of 3 weeks.]
Fugl-Meyer assessment was first used in 1975 to assess post-stroke physical performance. 33-item upper extremity subscale of the Fugl-Meyer scale evaluates movements, coordination/speed and pain in the shoulder, elbow, forearm. The highest score for the upper extremity is 66.
Secondary Outcome Measures
- Action Research Arm Test (ARAT) [Change from pre-interventional ARAT score at the end of the 15 sessions intervention that will be performed 5 days in a week at a total of 3 weeks.]
ARAT is a performance test, first described by Lyle in 1982. This test is produced by the upper extremity function test and shows upper extremity function and skill. ARAT consists of four subdivisions and 19 functional items that evaluate grasp, grip, pinch and gross motor movement on the both side. The highest score is 57.
- Motor Activity Log [Change from pre-interventional Motor Activity Log score at the end of the 15 sessions intervention that will be performed 5 days in a week at a total of 3 weeks.]
Motor Activity Log is a measure used to assess the amount of use and quality of movement of paretic arms and hands in daily living activities for hemiparetic stroke patients. It consists of 30 items.
- Manuel muscle testing [Change from pre-interventional Manuel muscle testing scores at the end of the 15 sessions intervention that will be performed 5 days in a week at a total of 3 weeks.]
manuel muscle testing of the flexor and extensor muscles of the wrist and finger
- Range of motion measurement (ROM) [Change from pre-interventional ROMs at the end of the 15 sessions intervention that will be performed 5 days in a week at a total of 3 weeks.]
Active range of motion of the wrist, MCP, PIP and DIP joints
- Force and EMG measurement with the testing device [Change from pre-interventional force and EMG measurement with the testing device at the end of the 5th session, 10th session and 15 session intervention that will be performed at the last session of each week at a total of 3 weeks.]
Additional force and EMG measurement with the specially designed testing device
- hand dynamometer [Change from pre-interventional grip strentgh at the end of the 15 session interventions that will be performed 5 days in a week at a total of 3 weeks.]
to measure grip strength
Eligibility Criteria
Criteria
Inclusion Criteria:
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Having ischemic stroke history within last 4 weeks
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Being at the age 18 and older than 18
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Providing a sitting balance during the robot training (maximum 1 hour with preparation time)
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Understanding and performing simple commands
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Full range of motion in MCP, PIP and DIP
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MAS < 3 for finger flexors and extensors
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Participants who agree to participate in the study
Exclusion Criteria:
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Recurrent stroke
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Other neurologic or orthopedic problems that may affect to upper extremity functions
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Hemispatial neglect (will be diagnosed by Line bisection test and The star cancellation test)
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Refused treatment, non-cooperation
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MAS ≥ 3 (MAS will be measured every week during the treatment period)
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Dilber Karagozoglu Coskunsu | Istanbul | Europe | Turkey | 34353 |
Sponsors and Collaborators
- Bahçeşehir University
- Medipol University
- Medical Park Hospital Istanbul
- Rehab-Robotics Company Limited
Investigators
- Principal Investigator: Dilber Karagozoglu Coskunsu, Ass.Prof., Bahçeşehir University
- Study Chair: Sumeyye Akcay, PT, Bahçeşehir University
- Study Chair: Özden Erkan Oğul, Ass.Prof., Medipol University
- Study Chair: Kubra Yıldırım, PT, IAU Medical Park Florya Hospital
- Study Chair: Yakup Krespi, Prof., IAU Medical Park Florya Hospital
- Study Chair: Haris Begovic, PhD, Hong Kong Polytechnic University
- Study Chair: Necla Öztürk, Prof., Maltepe University
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- Bahcesehir University