Ann Clin Case Rep | Volume 7, Issue 1 | Research Article | Open Access

The Possibilities of Multimodal Sensomotor Correction of Fine Use of the Hand with Digital Interactive Technology and Biofeedback in after-Stroke Patients: A Pilot Study

Kostenko EV1,2#, Petrova LV1*# and Pogonchenkova IV1

1Moscow Scientific and Practical Center of Medical Rehabilitation, Restorative and Sports Medicine of the Department of Health of the City of Moscow, Russia
2Pirogov Russian National Research Medical University, Russia
#These authors contributed equally to this work

*Correspondance to: Petrova Liudmila Vladimirovna` 

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Abstract

Background: Digital Interactive Technology (DIT)- based rehabilitation has been reported to have beneficial effects on upper limb function in individuals after Ischemic Stroke (IS), but there is a lack of information about its effects on distal upper extremity function and Health-Related Quality of Life (HRQoL) in the published academic literature. The purpose of this study was to evaluate the efficacy and safety of DIT with artificial intelligence and biofeedback Rehabilitation Glove "SensoRehab" (RGSR) for restoration of in-hand manipulation in patients with IS in the early and late recovery periods. Methods: Our pilot trial involved 56 IS patients who had undergone Medical Rehabilitation (MR) with the use of SGSR. The primary outcomes were changes in scores on the Fugl-Meyer (FMA-UE) and Action Research Arm Test (ARAT), the secondary outcomes were changes on the Medical Research Council Scale (MRCS), Modified Ashworth Scale (MAS), Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HADS), the Quality-of-Life scores (HRQoL) and functional independence (Barthel ADL Index). The results were assessed before the therapy, at 14 days and 1 month after the intervention. Results: After the MR with SGSR, improvements in FMA-UE, ARAT scores and in cognitive and emotional function scores on MoCA and HADS, as well as in independence of daily living and quality of life were noted. Conclusion: The MR based on DIT with artificial intelligence and biofeedback is effective for patients with impaired fine motor skills of the hand due to the IS in the early and late recovery period.

Citation:

Kostenko EV, Petrova LV, Pogonchenkova IV. The Possibilities of Multimodal Sensomotor Correction of Fine Use of the Hand with Digital Interactive Technology and Biofeedback in after-Stroke Patients: A Pilot Study. Ann Clin Case Rep. 2022; 7: 2271..

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