MétaCan
Menu
Back to cohort
Record 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 on OpenAlexaboutno aff
Gouri Sharma, Yashika Kumar

Bibliographic record

VenueInternational Journal of Health Sciences and Research · 2024
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineParkinson's diseasePhysical medicine and rehabilitationBiofeedbackDiseaseFoot (prosody)Physical therapyInternal medicine

Abstract

fetched live from 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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.116

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.376
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Health Sciences and ResearchSame topicMuscle activation and electromyography studiesFrench-language works237,207