Augmented reality (AR) is a technology that combines the real world with virtual elements, providing users with an enhanced interactive experience. AR has been used in a variety of fields, including medicine and bioengineering. In terms of training medical bioengineers, augmented reality can play a significant role in improving the learning process and understanding of human anatomy, medical procedures, and medical devices. Using AR technology, medical bioengineers can benefit from the following advantages in their training: three-dimensional visualization and interaction, medical procedure simulation, real-time guidance, collaboration and communication, medical device innovation and development. Using these technologies in the training of medical bioengineers, they can practice and become familiar with performing these procedures in a safe and controlled virtual environment. This can help increase confidence and practical skills before working in real life.

Modern rehabilitation procedures use devices that provide physical therapists with various types of information to improve assessment of patient progress during rehabilitation plans. The new trend of these technologies is the development of safe, portable and comfortable wearable devices with extensive applications in various environments (medical clinics or at the patient's home). The present work presents a portable and safe device for hand rehabilitation, consisting of five finger force sensors and a palmar sensor arranged in the ball, capable of capturing pressure signals during the execution of movements guided by the physiotherapist or by a video game/virtual reality. A 3-axis accelerometer was used to spatially monitor the patient's movements. A series of games with different levels of difficulty were created, through which the degree of mobility of the patient can be monitored depending on the game he chooses and at the same time reflected by the score obtained at the end of the game. Also, to be more interactive, the interface was chosen to play with 2 players simultaneously. So that they can choose to play in the team or as competitors. The system allows users to show different routines to guide them in their use and also evaluates pressure signals and response time.

With the rapid development of the world economy and the significant improvement in living standards, people’s average life expectancy has increased, which has led to substantial changes in the types of diseases encountered in the daily population. These diseases are found in both older and younger people. At the same time with the development of informatics in the field of health, the clinical data of the patients can be registered in different servers that are found under the name of Cloud. They allow the visualization and interpretation of recordings from subjects using a device connected to these servers, an important role for both medical staff because it can easily keep track of certain patients with chronic diseases. The system uses an Arduino development platform to purchase data from attached sensors. The ECG module is based on an instrumentation amplifier with several levels of filtering, so as to acquire a series of signals corresponding to a physiological chart in a single channel, which are sent to an Atmega microcontroller. The pulse detection part was performed using a pulse oximetry module and determines the levels of oxygen saturation in the blood. The advantages of this system consist in: efficient, fast acquisition and storage, real-time remote monitoring, user-friendly interface, accessibility for patients and caregivers.

The purpose of this paper is to demonstrate that the process of elbow joint rehabilitation can be monitored and improved using intelligent medical devices. During the study, an orthosis-type medical device was developed that monitors the mobility of the elbow joint in case of pathology. This device is useful in monitoring flexion movements (forward and backward), as well as internal and external rotation. For this purpose, a set of sensors were used that will capture the necessary and specific information, and the extracted data will be transmitted to a microcontroller for processing. The orthosis is one that can be customized according to the patient's pathology because it will analyse the data collected and interpret the values according to the calibration performed on the patient. The orthosis can be used both in the evaluation of joint dysfunctions at the elbow and in a rehabilitation program to avoid vicious positions. The positioning of the orthosis will be done together with the specialist doctor or in the presence of a physiotherapist, following the detailed clinical examination, so that the calibration of the sensors can be performed correctly. The device can emit warning sequences that will depend on the movements that the patient will perform, movements that can be sudden or accidental.