sEMG-biofeedback armband for hand motor rehabilitation in stroke patients: a preliminary pilot longitudinal study

Rimini, Daniele; Salvalaggio, Silvia; Pregnolato, Giorgia; Alhelou, Mahmoud; Berlingieri, Carmine; Mascotto, Eleonora; Turolla, Andrea; Ariano, Paolo; Celadon, Nicolò; Ahmed, Daniyal

doi:10.1109/memea49120.2020.9137140

Cited by 3 publications

(6 citation statements)

References 15 publications

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“…In our previous work, we tested with REMO ® the same hand gestures required in this paper but coupled in five functional couples. The results showed that the most impaired movements for the patients were thumb abduction and pinch, in which they needed more time to perform the muscle activation with the hemiparetic hand [ 36 ]. Moreover, the results suggested that the training with REMO ® induced an improvement of motor performance.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the results suggested that the training with REMO ® induced an improvement of motor performance. Indeed, the patients’ muscle activations were more precise and fast in all movements required, which may be correlated with an improvement of motor control [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

“…In a previous work, we tested REMO ® to define its safety and feasibility in a clinical setting on stroke patients and its efficacy in extracting quantitative parameters of subjects’ hand performance [ 35 ]. Furthermore, in our last work, we tested REMO ® device in a longitudinal pilot study with the aim to define the clinical effect in specific hand motor training in stroke survivors [ 36 ]. Preliminary data defined that there was a significant improvement in upper limb motor performance correlated with an improvement of the number of controlled movements required in the training [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, in our last work, we tested REMO ® device in a longitudinal pilot study with the aim to define the clinical effect in specific hand motor training in stroke survivors [ 36 ]. Preliminary data defined that there was a significant improvement in upper limb motor performance correlated with an improvement of the number of controlled movements required in the training [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

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Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study

Pregnolato

Rimini

Baldan³

et al. 2023

IJERPH

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After stroke, upper limb motor impairment is one of the most common consequences that compromises the level of the autonomy of patients. In a neurorehabilitation setting, the implementation of wearable sensors provides new possibilities for enhancing hand motor recovery. In our study, we tested an innovative wearable (REMO®) that detected the residual surface-electromyography of forearm muscles to control a rehabilitative PC interface. The aim of this study was to define the clinical features of stroke survivors able to perform ten, five, or no hand movements for rehabilitation training. 117 stroke patients were tested: 65% of patients were able to control ten movements, 19% of patients could control nine to one movement, and 16% could control no movements. Results indicated that mild upper limb motor impairment (Fugl-Meyer Upper Extremity ≥ 18 points) predicted the control of ten movements and no flexor carpi muscle spasticity predicted the control of five movements. Finally, severe impairment of upper limb motor function (Fugl-Meyer Upper Extremity > 10 points) combined with no pain and no restrictions of upper limb joints predicted the control of at least one movement. In conclusion, the residual motor function, pain and joints restriction, and spasticity at the upper limb are the most important clinical features to use for a wearable REMO® for hand rehabilitation training.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study

Pregnolato

Rimini

Baldan³

et al. 2023

IJERPH

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“…For patients who could benefit from treatments with a robotic device, AMADEO (Tyromotion GmbH, Graz, Austria) was used, an end-effector robot allowing to perform selective voluntary movements of the hand and fingers, controlled by surface electromyography (sEMG) detected from fingers flexors and extensors muscles [19]. Furthermore, among technology devices available, specific UL treatments were delivered by using DIEGO (Tyromotion GmbH, Graz, Austria), an exoskeleton providing arm-weight support while performing virtual tasks, and REMO (Morecognition Ltd. Torino, Italy), a sEMG biofeedback armband for hand movements [20].…”

Section: Technology Devicesmentioning

confidence: 99%

Clinical Predictors for Upper Limb Recovery after Stroke Rehabilitation: Retrospective Cohort Study

et al. 2023

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After stroke, recovery of upper limb (UL) motor function is enhanced by a high dose of rehabilitation and is supposed to be supported by attentive functions. However, their mutual influence during rehabilitation is not well known yet. The aim of this retrospective observational cohort study was to investigate the association between rehabilitation dose and motor and cognitive functions, during UL motor recovery. Inpatients with first unilateral stroke, without time restrictions from onset, and undergoing at least 15 h of rehabilitation were enrolled. Data on dose and modalities of rehabilitation received, together with motor and cognitive outcomes before and after therapy, were collected. Fugl–Meyer values for the Upper Extremity were the primary outcome measure. Logistic regression models were used to detect any associations between UL motor improvement and motor and cognitive-linguistic features at acceptance, regarding dose of rehabilitation received. Thirty-five patients were enrolled and received 80.57 ± 30.1 h of rehabilitation on average. Manual dexterity, level of independence and UL motor function improved after rehabilitation, with no influence of attentive functions on motor recovery. The total amount of rehabilitation delivered was the strongest factor (p = 0.031) influencing the recovery of UL motor function after stroke, whereas cognitive-linguistic characteristics were not found to influence UL motor gains.

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Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach

Salvalaggio,

Turolla,

Andò

et al. 2023

Front. Aging Neurosci.

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BackgroundStroke is a debilitating disease affecting millions of people worldwide. Despite the survival rate has significantly increased over the years, many stroke survivors are left with severe impairments impacting their quality of life. Rehabilitation programs have proved to be successful in improving the recovery process. However, a reliable model of sensorimotor recovery and a clear identification of predictive markers of rehabilitation-induced recovery are still needed. This article introduces the cross-modality protocols designed to investigate the rehabilitation treatment’s effect in a group of stroke survivors.Methods/designA total of 75 stroke patients, admitted at the IRCCS San Camillo rehabilitation Hospital in Venice (Italy), will be included in this study. Here, we describe the rehabilitation programs, clinical, neuropsychological, and physiological/imaging [including electroencephalography (EEG), transcranial magnetic stimulation (TMS), and magnetic resonance imaging (MRI) techniques] protocols set up for this study. Blood collection for the characterization of predictive biological biomarkers will also be taken. Measures derived from data acquired will be used as candidate predictors of motor recovery.Discussion/summaryThe integration of cutting-edge physiological and imaging techniques, with clinical and cognitive assessment, dose of rehabilitation and biological variables will provide a unique opportunity to define a predictive model of recovery in stroke patients. Taken together, the data acquired in this project will help to define a model of rehabilitation induced sensorimotor recovery, with the final aim of developing personalized treatments promoting the greatest chance of recovery of the compromised functions.

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sEMG-biofeedback armband for hand motor rehabilitation in stroke patients: a preliminary pilot longitudinal study

Cited by 3 publications

References 15 publications

Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study

Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study

Clinical Predictors for Upper Limb Recovery after Stroke Rehabilitation: Retrospective Cohort Study

Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach

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