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Abstract(s)
Uma das vertentes de investigaĆ§Ć£o do Centro de Estudo do Movimento e Atividade Humana (CEMAH) estĆ” direcionada para a terapia destinada a doentes que sofreram AVC (Acidente Vascular Cerebral) e que em sequĆŖncia do acidente apresentam limitaĆ§Ć£o de movimentos. No processo de recuperaĆ§Ć£o dos pacientes sĆ£o aplicados protocolos de terapia que tĆŖm por objetivo induzir a recuperaĆ§Ć£o da marcha autĆ³noma dos pacientes e conduzir a uma marcha com a melhor qualidade possĆvel. A escolha dos protocolos de terapia depende da anĆ”lise de um conjunto de variĆ”veis preditoras cujos valores sĆ£o obtidos em laboratĆ³rio, a partir de leituras de sensores aplicados nos membros dos pacientes durante a ocorrĆŖncia de diferentes eventos, como por exemplo, levantar, sentar e inĆcio de marcha. A partir desta anĆ”lise, Ć© possĆvel escolher o protocolo de intervenĆ§Ć£o mais adequado para a recuperaĆ§Ć£o da marcha.
AnĆ”lises recentes apontam para a necessidade de nĆ£o sĆ³ intervir no membro afetado pelo AVC, como tambĆ©m no membro simĆ©trico nĆ£o afetado. Atualmente, o trabalho de anĆ”lise descrito Ć© realizado de forma manual pelos terapeutas. PorĆ©m, com o trabalho desenvolvido estudou-se e implementou-se um protĆ³tipo que permita efetuar a anĆ”lise automĆ”tica dos dados recolhidos pelos sensores, possibilitando assim realizar a recomendaĆ§Ć£o dos protocolos de intervenĆ§Ć£o mais adequados. Foi ainda criado um protĆ³tipo que permite fazer o acompanhamento da aplicaĆ§Ć£o do protocolo de intervenĆ§Ć£o escolhido pelo terapeuta, de forma a validar a decisĆ£o tomada ou sugerir alteraƧƵes ao protocolo a aplicar em situaƧƵes futuras.
One of the research aspects of the Centro de Estudos do Movimento e Atividade Humana [Center for the Study of Movement and Human Activity] (CEMAH) is directed to the therapy destined to patients who suffered a stroke, and that in the sequence of the accident, presente limitation of movements. In the recovery process of patients, therapy protocols are applied which aim to induce recovery of patients' autonomous gait and lead to a gait with the best possible quality. The choice of the therapy protocols depends on the analysis of a set of predictor variables whose values are obtained in the laboratory, from sensor readings applied in the patients' members during the occurrence of different events, such as standing, sitting and the beginning of the march. From this analysis, it is possible to choose the most appropriate intervention protocol and to infer the probability of the patient recovering the gait. Recent studies point to the need not only to intervene in the limb affected by the stroke but also in the unaffected symmetric limb. Currently, the analysis work described is performed manually by therapists. The aim of this work is to study and implement a prototype that allows automatic analysis of the data collected by the sensors so that the most appropriate intervention protocols can be recommended. It is also intended that the prototype allows monitoring of the application of the intervention protocol chosen by the therapist to validate the decision taken or suggest changes to the protocol to be applied in future situations.
One of the research aspects of the Centro de Estudos do Movimento e Atividade Humana [Center for the Study of Movement and Human Activity] (CEMAH) is directed to the therapy destined to patients who suffered a stroke, and that in the sequence of the accident, presente limitation of movements. In the recovery process of patients, therapy protocols are applied which aim to induce recovery of patients' autonomous gait and lead to a gait with the best possible quality. The choice of the therapy protocols depends on the analysis of a set of predictor variables whose values are obtained in the laboratory, from sensor readings applied in the patients' members during the occurrence of different events, such as standing, sitting and the beginning of the march. From this analysis, it is possible to choose the most appropriate intervention protocol and to infer the probability of the patient recovering the gait. Recent studies point to the need not only to intervene in the limb affected by the stroke but also in the unaffected symmetric limb. Currently, the analysis work described is performed manually by therapists. The aim of this work is to study and implement a prototype that allows automatic analysis of the data collected by the sensors so that the most appropriate intervention protocols can be recommended. It is also intended that the prototype allows monitoring of the application of the intervention protocol chosen by the therapist to validate the decision taken or suggest changes to the protocol to be applied in future situations.
Description
Keywords
AVC RecuperaĆ§Ć£o PrescriĆ§Ć£o RecomendaĆ§Ć£o MineraĆ§Ć£o de dados Clustering Stroke Recovery Gait Prescription Recommendation Data mining