Treatment of the Paretic Hand with a Robotic Glove Combined with Physiotherapy in a Patient Suffering from Traumatic Tetraparesis: A Case Report.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
27 Mar 2023
Historique:
received: 07 02 2023
revised: 15 03 2023
accepted: 23 03 2023
medline: 14 4 2023
entrez: 13 4 2023
pubmed: 14 4 2023
Statut: epublish

Résumé

cervical spinal cord injury leads to loss of upper limb functionality, which causes a decrease in autonomy to perform activities of daily living. The use of robotic technologies in rehabilitation could contribute to improving upper limb functionality and treatment quality. This case report aims to describe the potential of robotic hand treatment with Gloreha Sinfonia, in combination with conventional rehabilitation, in a tetraparetic patient. fifteen rehabilitative sessions were performed. Evaluations were conducted pre-treatment (T0), post-treatment (T1), and at two-months follow-up (T2) based on: the upper-limb range of motion and force assessment, the FMA-UE, the 9-Hole Peg Test (9HPT), and the DASH questionnaire. A virtual reality game-based rating system was used to evaluate the force control and modulation ability. the patient reported greater ability to use hands with less compensation at T1 and T2 assessments. Improvements in clinical scales were reported in both hands at T1, however, at T2 only did the dominant hand show further improvement. Improved grip strength control and modulation ability were reported for T1. However a worsening was found in both hands at T2, significant only for the non-dominant hand. The maximum force exerted increased from T0 to T2 in both hands. hand treatment combining physical therapy and Gloreha Sinfonia seems to have benefits in functionality and dexterity in tetraparetic patient in the short term. Further studies are needed to confirm these findings, to verify long-term results, and to identify the most appropriate modalities of robotic rehabilitation.

Sections du résumé

BACKGROUND BACKGROUND
cervical spinal cord injury leads to loss of upper limb functionality, which causes a decrease in autonomy to perform activities of daily living. The use of robotic technologies in rehabilitation could contribute to improving upper limb functionality and treatment quality. This case report aims to describe the potential of robotic hand treatment with Gloreha Sinfonia, in combination with conventional rehabilitation, in a tetraparetic patient.
MATERIAL METHODS
fifteen rehabilitative sessions were performed. Evaluations were conducted pre-treatment (T0), post-treatment (T1), and at two-months follow-up (T2) based on: the upper-limb range of motion and force assessment, the FMA-UE, the 9-Hole Peg Test (9HPT), and the DASH questionnaire. A virtual reality game-based rating system was used to evaluate the force control and modulation ability.
RESULTS RESULTS
the patient reported greater ability to use hands with less compensation at T1 and T2 assessments. Improvements in clinical scales were reported in both hands at T1, however, at T2 only did the dominant hand show further improvement. Improved grip strength control and modulation ability were reported for T1. However a worsening was found in both hands at T2, significant only for the non-dominant hand. The maximum force exerted increased from T0 to T2 in both hands.
CONCLUSION CONCLUSIONS
hand treatment combining physical therapy and Gloreha Sinfonia seems to have benefits in functionality and dexterity in tetraparetic patient in the short term. Further studies are needed to confirm these findings, to verify long-term results, and to identify the most appropriate modalities of robotic rehabilitation.

Identifiants

pubmed: 37050544
pii: s23073484
doi: 10.3390/s23073484
pmc: PMC10099243
pii:
doi:

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Federica Bressi (F)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Laura Cricenti (L)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Marco Bravi (M)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.
Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.

Fabiana Pannunzio (F)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Francesca Cordella (F)

Unit of Advanced Robotics and Human-Centred Technologies, Campus Bio-Medico University of Rome, 00128 Rome, Italy.

Martina Lapresa (M)

Unit of Advanced Robotics and Human-Centred Technologies, Campus Bio-Medico University of Rome, 00128 Rome, Italy.

Sandra Miccinilli (S)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Fabio Santacaterina (F)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Loredana Zollo (L)

Unit of Advanced Robotics and Human-Centred Technologies, Campus Bio-Medico University of Rome, 00128 Rome, Italy.

Silvia Sterzi (S)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

Benedetta Campagnola (B)

Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation of Rome, 00128 Rome, Italy.

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Classifications MeSH