In recent years, there has been a remarkable decline in stroke-related mortality. However, it remains one of the leading causes of death and the most prominent cause of lifelong disability in adults. This positive development results from increased accessibility to various stroke treatment options. In addition, the use of virtual reality in rehabilitation offers a possible alternative to traditional methods of medical rehabilitation of the upper limbs, improving muscle strength or balance. An early diagnosis of equilibrium deficits brings an incredible contribution to recovery. Analysis tests using stabilometric platforms have begun to be used more recently due to the advantages offered. This assessment method highlights and analyzes balance disorders and determines the body's center of gravity position through several sensors or arrays of sensors that transmit information to the processing software. This work aimed to develop a low-cost, stabilometric platform that could be used to build a recovery system using virtual reality-based games. The developed platform uses an Arduino UNO microcontroller that takes data from 4 force sensors. Two applications have been created. The first one was for balance maintenance and the second for execute balance exercises in the anteroposterior and mediolateral direction.
The importance of Industry 4.0 in healthcare is obvious. Medical device manufacturing is a highly regulated field making it challenging to introduce new technologies into the manufacturing process. Computer-aided design and manufacturing technology is used to develop custom medical devices. Respiratory diseases are due to the inability of the lungs to cope with the gas exchange at rest and effort. The causes can be multiple, from stenosis of the respiratory tract to the consequences of infections with various pathogens. Spirometry is one of the main methods used in this respect. This paper aims to develop a spirometer using a Venturi tube connected to the differential pressure sensor type MPX10DP. The Venturi tube was designed using FUSION 360 and 3D printed. The pressure sensor is connected to an amplifier made with the INA118 circuit, and the ARDUINO UNO microcontroller takes the signal. The program running on the computer calculates the forced vital capacity (FVC) and forced expiratory volume in one second (FEV1).
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