Desenvolvimento de algoritmo para detecção e medição de velocidade de marcha em idosos

• Autor(a) principal: Silva, Mateus Antunes da.
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UEPB
• Texto Completo: http://tede.bc.uepb.edu.br/jspui/handle/tede/4581
• topic: Dispositivo vestível; Monitoramento remoto; Envelhecimento; Idosos; Velocidade da marcha; CIENCIAS DA SAUDE::MEDICINA

INTRODUCTION: Technological developments have provided support in several daily activities. This makes it possible to improve the quality of population life. The use of devices that assist in the monitoring of the elderly has become a very common practice in the hospital environment. The use of Gait Speed (MV) as a predictor of diseases in the elderly has gained space in the clinical environment. Technologies used to accompany the elderly in their Activities of Daily Living (ADLs), is already part of the day to day. In this context, we highlight the need for monitoring measures that help in the measurement of MV in elderly individuals and that is able to transmit this information to the appropriate professional. OBJECTIVE: To develop a system for detecting and measuring Gait Speed. METHODS: This is an experimental development of algorithms, which inserted in a smartwatch, should be able to identify when the user is walking and perform the measurement of the MV. The sensors inserted in the smartwatch are responsible for obtaining information about the behavior of the elderly, and only their normal use is necessary. Once the data is captured, it will be sent to the server to perform the VM calculations. These algorithms are part of the development of a platform, which will allow the visualization and management of information of the elderly in real time by the health professional and communication with the user through sending messages to the mobile application. RESULTS OBTAINED: The algorithm developed using the GPS sensor has good reliability, which accurately guarantees the measurement of MV in the elderly, predicting this measurement remotely and automatically. The systems have similar characteristics, but have been developed with different sensors, which means they run different paths in data acquisition. The developed system uses GPS to obtain speed, which requires signal connected with GPS to be able to perform the measurement, although the GPS signal available via satellite is present in almost every planet, there are some barricades that can cause loss of signal. The system using accelerometer, on the other hand, can measure the speed independent of external signals, but filters need to be implemented to improve the result. CONCLUSION: Using the developed system, which uses the gps measurement method, can improve the measurement aspect of Gait Speed, since the system presented easy development and usability.