Desenvolvimento de sensor MARG para análise de movimento

• Ano de defesa: 2014
• Autor(a) principal: Alfonso Sánchez, Manuel Ricardo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Engenharia Elétrica; Centro Tecnológico; UFES; Programa de Pós-Graduação em Engenharia Elétrica
• Palavras-chave em Português: Biomedical Engineering; Rehabilitation; Sensor Fusion; Fusão sensorial; MARG; ZigBee; Engenharia biomédica; Detectores; Redes de sensores sem fio; Sistemas de comunicação sem fio; Reabilitação; Medidas Elétricas, Magnéticas e Eletrônicas; Instrumentação; 621.3
• Link de acesso: http://repositorio.ufes.br/handle/10/9645

This project proposes the development of calibration and fusion algorithms of signals from magnetometers, gyroscopes and accelerometers, in order to implement a three-dimensional sensor known as MARG. The developed MARG-UFES system allows acquired data related with three-dimensional motion to be processed, calibrated and transmitted through ZigBee. The developed system has the ability to communicate with a hub in a point-to-point wireless configuration, to study daily movements such as walking, climbing stairs, sitting and allowing analysis of specific body positions required in motor rehabilitation of upper and lower limbs. The MARG system fabrication techniques are also outlined, as well as the necessary calibrations to ensure reliability of captured information, which will be assessed by comparing the results with a previously developed sensor version and with the commercial TECH-IMU-CAN sensor (TECHNAID, Spain), which are currently used by researchers and teachers in biomedical engineering and clinical motor rehabilitation fields.