Banca de DEFESA: RAÍSSA SOUZA TAVEIRA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : RAÍSSA SOUZA TAVEIRA
DATE: 06/05/2021
TIME: 08:00
LOCAL: Faculdade de Ciências da Saúde do Trairi
TITLE:

Player FeedBack - Device For Motor Learning Assessment Post-Stroke: A pilot Study

KEY WORDS:

Neurological Rehabilitation. Serial Learning. Upper Extremities. Stroke.

PAGES: 58
BIG AREA: Ciências da Saúde
AREA: Fisioterapia e Terapia Ocupacional
SUMMARY:

Background: Stroke has been reported as the second cause of death and one of the leading causes of disability worldwide. Deficits caused by stroke, mainly in upper limb, lead to limitations in daily, professional, and social life activities. Motor learning (ML) principles are included in many rehabilitation interventions to improve upper limb function. However, only few devices are available for ML assessment and training. Therefore, this study aimed to develop a device to assess ML using in post-stroke individuals. Methods: This study follows Tseng's methodology for innovative product design and development, consisting of two stages (device development and testing). Player Feedback (PF) development and design aimed to guide upper limb movements by visual stimuli linked to a control module containing software to compute motor performance variables, using reaching/pointing task and considering motor learning theories. Then, eight individuals were intentionally recruited for device testing by measuring the number of correct answers, number of advanced correct answers, average reaction time, learning sequence, total of correct sequences, and score. Results and discussion: A simple, low-cost, user-friendly, and quickly applied device was developed. PF measurements can be used in rehabilitation, therapeutic monitoring, and new therapeutic approaches development since these ML variables are not observed in clinical instruments and are often altered post-stroke. Conclusion: PF is a motivating and innovative tool to perform reaching/pointing tasks in post-stroke individuals. ML assessment using PF showed to be effective in post-stroke individuals, improving sequence learning task performance. Therefore, this approach further befits the neurorehabilitation process, guiding evaluation, therapy, patients, and health professionals for treatment optimization.

BANKING MEMBERS:
Presidente - 1716016 - ENIO WALKER AZEVEDO CACHO
Interna - 2682777 - ROBERTA DE OLIVEIRA CACHO
Externa ao Programa - 074.253.914-81 - THAIANA BARBOSA FERREIRA PACHECO - UFRN
Externo à Instituição - PAULO AUGUSTO DE LIMA FILHO - IFRN