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Neck injuries and pathologies are widespread and cause disability. Clinicians use different tools to measure the cervical spine' mobility to diagnose different disorders. There are many reliable assessment methods for this purpose, but their benefits have not been deeply investigated and compared, as well as their measurement results. This review aims to summarise the advantages, accuracy, and reliability, of measurement tools and devices used in studies or trails related to the neck and cervical spine evaluation, to evidence the use of inertial sensors and compare them, to highlight the best assessment systems and their characteristics. A literature review has been performed in a range of five years, to obtain information about cervical spine evaluation. Studies that met the established inclusion criteria were selected and classified according their pathology studied, objectives and methodologies followed when evaluating the cervical spine functionality. Studies were described chronologically highlighting the tools employed, where the motion capture systems and cervical range of motion devices stood out as the most used and reliable methods. Cervical spine assessment studies employing systems with inertial sensors as an accurate method, is not evidenced in the sample. However, they are widely tested and different studies validate these systems for their clinical area use, obtaining high reliability and repeatability. Thereby, this review argues that inertial sensors have proven to be a portable, and easy to use tool for the evaluation of neck and its related pathologies, with a great accuracy level.

Among the various systemic disorders that hands can suffer, rheumatoid arthritis is one of the most common. This disease affects the synovial tissue of the joints, making extension and flexion movements difficult. Currently, there are drugs on the market to treat it, but they produce dangerous side effects affecting the quality of life of the patient. In this context, physical rehabilitation plays an important role as a complement to the work of conventional medications. The present work describes the hand rehabilitation device that can be used to improve the mobility of people with rheumatoid arthritis. This glove shaped device can move all five fingers, using the measurement of the action potential of other healthy muscles. The data collection is done through a muscle sensor which processes the signal and sends the order to the glove, allowing contraction or relaxation of the hand. The glove was designed in 3D using the Fusion 360 software. In this case, this device captures the movements of patterns generated in a muscle and reproduces them in the fingers of the hand to increase the level of movement and prevent muscle atrophy in patients with this disease.