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Enregistrement W4404362840 · doi:10.52403/ijhsr.20241117

Design and Performance Evaluation of Biofeedback Foot Orthosis to Inhibit Tremors on the Patients with Parkinson’s Disease

2024· article· en· W4404362840 sur OpenAlexaboutno aff
Gouri Sharma, Yashika Kumar

Notice bibliographique

RevueInternational Journal of Health Sciences and Research · 2024
Typearticle
Langueen
DomaineEngineering
ThématiqueMuscle activation and electromyography studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineParkinson's diseasePhysical medicine and rehabilitationBiofeedbackDiseaseFoot (prosody)Physical therapyInternal medicine

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Parkinson's disease (PD) is a progressive neurological disorder that affects the motor system, leading to symptoms such as tremors, rigidity, bradykinesia (slowness of movement), and postural instability. The incidence and prevalence increase with advancing in age, around 1% of people over the age of 60 years. As one of the hallmark features of Parkinson's disease which is most prevalent among majority of the people is the tremors and freezing of gait (FOG) which has a severe impact on the patient’s gait and mobility. Hence leading to the distinctive gait abnormalities that can affect person’s quality of life. With the progression in the severity and with the increasing age it has led to the dependency of the patients on the care givers and to the family members for the daily living activities. This paper presents a development of new low-cost biofeedback foot orthosis to suppress the tremors and freezing of gait (FOG) with the incorporation of vibration mechanism. As the vibration mechanism has a positive impact in suppressing tremors in the patients. AIM: To develop an orthosis that provides biofeedback through vibration mechanism to inhibit tremors and freezing of gait (FOG) on the patients with Parkinson’s disease. METHODOLOGY: In this study a patient with Parkinson’s disease has been taken and he has been prescribed with orthosis. After this the development of the prototype design, which includes design specifications, components and vibration mechanism after this an orthosis has been developed which has an incorporation of vibration motors which allows to send stimulus to the brain by which the patient get attentive enough so that they can perform their daily living activities and then the trial of the orthosis on the patient was done. The orthosis has been tested on one patient and he has been selected as per the Yohn & Yahr scale for determining the severity of the Parkinson’s disease and pretest data was taken using Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0) without the biofeedback orthosis and then the orthosis has been installed into the patient’s footwear and after that post test data was taken and data analysis was done. RESULTS: The biofeedback foot orthosis has improved the patient’s gait cycle via suppression of tremors and also there has been a decrease in the freezing of gait episodes. By this, the patient’s quality of life has been increased drastically and has made them to lead a healthy lifestyle. DISCUSSION & CONCLUSION: This study showed improved results in user’s satisfaction and has also led to tremor suppression which has improved patient’s gait cycle and reduction in the freezing of gait (FOG) episodes. In this study we developed a biofeedback foot orthosis to inhibit tremors on the patients with Parkinson’s disease. With the incorporation of vibration mechanism it acts as a powerful proprioceptive stimulus, strongly affecting the motion perception of not only healthy people but also patients with Parkinson’s disease or various other neurological disorders. In this study, we investigated the effect of biofeedback foot orthosis made up of high temperature thermoplastic (HTTP) sheet and concluded that it is effective in improving patient’s gait cycle and also it can be worn with the normal footwear to their workplace. Further, the research can be conducted with a large sample size and increased intervention period. Key words: Parkinson’s disease, Vibration mechanism, tremors & Freezing of gait (FOG).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,886
Score d'incertitude au seuil0,116

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,096
Tête enseignante GPT0,376
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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