Biomechanics provides reliable evidence in MedTech

In the MedTech field, having scientific evidence to prove the efficacy of a therapy is essential for obtaining approval for use by regulatory bodies and for gaining support from medical professionals. Biomechanics, the study of the movements and structures of living things using mechanics, can help in this area.

Human biomechanics in particular is often used in the medical industry because its principles can be applied to different dimensions and scales, from cells to the whole body to gather evidence based on data. For example, if we look at body tissue, we can analyze how tissue structures are formed, how forces shape the tissue, and how strong the tissue is.

Since it is mandatory to have evidence to support the effectiveness of the therapy, it is also necessary for Gondola Medical Technologies to provide concrete, unbiased evidence and demonstrate that AMPS therapy^® Is feasible, reliable and valid. The hypothesis for Gondola AMPS therapy is that it can improve walking and balance skills for patients with neurological disorders. To demonstrate this, we can conduct clinical studies and provide quantitative data that clearly demonstrate improvements in walking ability, i.e., gait. By measuring gait characteristics, such as speed, stride length, cadence, asymmetry, swing duration, stance duration, variability, double stance time, as well as foot stance angles and foot distance, we can obtain data demonstrating improvements derived from AMPS Gondola Therapy. These characteristics can also be directly related to a patient's mobility, quality of life, fall risk, and independence.

At Gondola Medical Technologies, we use inertial measurement units (IMUs) to analyze and measure gait. These are small sensors that can measure how the body moves in space as it walks. The specific sensors we are using come from GaitUp, a company that combines sensors, algorithms and biomechanics to analyze movement. Two small sensors configured with the GaitUp algorithm are attached to patients' feet to measure gait characteristics reliably and accurately.