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Recovery of upper limb and hand gestures is fundamental for autonomy restoration after stroke. Innovative technologies are a valid support for the delivery of rehabilitation treatments. Embedding surface electromyographic (sEMG) into wearable devices, allows the customisation of rehabilitation exercises, based on the clinical profile of each patient.
The aims of this study are to determine safety and feasibility of a prototype EMG-control wearable device (REMO) and to individualise clinical features of stroke survivors able to control the EMG armband targeted to hand rehabilitation.
The device REMO consists in an armband composed by 8 bipolar electrodes able to record and process the electromyography of forearm muscles. The patterns of muscle activations are classified and used to perform EMG-biofeedback exercises in stroke rehabilitation training. The device is developed by clinicians of IRCCS San Camillo Hospital and spin-off Morecognition Srl.
A total of 100 stroke patients patients has been recruited. They are clinically assessed and then tested on the ability to control the sEMG wearable device. The test is composed of 10 hand and fingers gestures to be performed with the paretic hand. Baseline and activation sEMG signals are recorded and compared for each movement. Three conditions representing absent, partial or full control of the device are defined and logistic multivarialbes regression models are used to identify clinical features describing the group each patient belongs to. Clinical cut-off for each strata is identified by odds ratio.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Experimental Group | Experimental | The subjects were clinically assessed with a define clinical protocol. After that, the subjects executed the device test with EMG-biofeedback wearable armband. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| EMG-biofeedback armband (REMO) | Device | After clinical evaluation, the subjects execute an instrumental test. By wearing EMG-biofeedback device (REMO), the subjects have to perform 10 different hand gestures: thumb abduction, pinch, finger flexion, finger extension, wrist flexion, wrist extension, forearm pronation, forearm supination, radial wrist deviation and ulnar wrist deviation. The muscle activations (EMG signals) during the execution of each movements, are recorded for 3 seconds. |
| Measure | Description | Time Frame |
|---|---|---|
| Fugl-Meyer Upper Extremity (FMA-UE) | Motor function of the upper limb is measured by means of the Fugl-Meyer Scale. There are 3 values: 0 (severe impairment), 1 (moderate impairiment), 2 (preserved function) | within 1 week from enrolment. |
| Measure | Description | Time Frame |
|---|---|---|
| Fugl-Meyer - sensation | Sensation of the hemiparetic side is measured by means of the Fugl-Meyer Scale. There are 3 values: 0 (severe impairment), 1 (moderate impairiment), 2 (preserved function) | within 1 week from enrolment. |
| Fugl-Meyer - pain and Range of Motion |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Andrea Turolla, PhD | IRCCS San Camillo Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| IRCCS San Camillo Hospital | Venice-Lido | Venice | 30126 | Italy |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27488270 | Background | Celadon N, Dosen S, Binder I, Ariano P, Farina D. Proportional estimation of finger movements from high-density surface electromyography. J Neuroeng Rehabil. 2016 Aug 4;13(1):73. doi: 10.1186/s12984-016-0172-3. | |
| 16200756 | Background | Dipietro L, Ferraro M, Palazzolo JJ, Krebs HI, Volpe BT, Hogan N. Customized interactive robotic treatment for stroke: EMG-triggered therapy. IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):325-34. doi: 10.1109/TNSRE.2005.850423. |
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| ID | Term |
|---|---|
| D020521 | Stroke |
| D000083302 | Hemorrhagic Stroke |
| D000083242 | Ischemic Stroke |
| D010291 | Paresis |
| D006429 | Hemiplegia |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Each subject is assessed with a clinical protocol and an instrumental test, consists in executing 10 hand gestures by wearing a EMG-biofeedback armband
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|
Pain and Range of Motion of the hemiparetic upper limb is measured by means of the Fugl-Meyer Scale. There are 3 values: 0 (severe impairment), 1 (moderate impairiment), 2 (preserved function) |
| within 1 week from enrolment. |
| Box and Blocks Test (BBT) | The patient has to carry as much cubes as possible, one by one, from a container to another one in one minute. The test is performed with both hands. | within 1 week from enrolment. |
| Reaching Performance Scale (RPS) | RPS assesses the ability of subjects to reach an object (a cone). The cone is placed at both 4-cm (close) and 30-cm (far) distance from the subject. The subject is asked to reach and grab the cone if possible. The observer evaluates the quality of reaching instead of the grip strength (Total score = 36 points). | within 1 week from enrolment. |
| Modified Ashworth Scale (MAS) | Spasticity is measured using the MAS of five muscles: Pectoralis major, biceps, wrist flexors, flexor digitorum superficialis, flexor digitorum profundus (Total score = 20 points). | within 1 week from enrolment. |
| Nine Hole Pegboard Test (NHPT) | NHPT measures the dexterity of the hand. Patient should insert 9 pins in the board. There are 9 pins. The number of pins inserted in 50 sec are registered or if the patient inserted 9 pins, then the time is registered. | within 1 week from enrolment. |
| Functional Independence Measure scale (FIM) | FIM is an 18-item scale that assesses the degree of autonomy in carrying out activities of daily living (total score = 126 points). | within 1 week from enrolment. |
| Number of movements controlled by EMG-biofeedback device | The patient is able to control a movement with the device if he crosses the pre-defined empirical threshold (10%) of the ratio between the maximum voluntary contraction (MVC) of the movement and the EMG recording during baseline (i.e. rest position). | within 1 week from enrolment. |
| 26737680 | Background | Paleari M, Di Girolamo M, Celadon N, Favetto A, Ariano P. On optimal electrode configuration to estimate hand movements from forearm surface electromyography. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6086-9. doi: 10.1109/EMBC.2015.7319780. |
| 25387001 | Background | Pollock A, Farmer SE, Brady MC, Langhorne P, Mead GE, Mehrholz J, van Wijck F. Interventions for improving upper limb function after stroke. Cochrane Database Syst Rev. 2014 Nov 12;2014(11):CD010820. doi: 10.1002/14651858.CD010820.pub2. |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010243 | Paralysis |