At the BFH Centre for Technologies in Medicine, Health and Sports, around 90 research associates, engineers, doctors, PhD students and lecturers work on a range of applied research and development projects. The following reference projects provide an idea of our activities:

Reference projects

Monitoring in football training

Measuring and information system for monitoring in football training: sensors and algorithms for extracting key indicators in football.

This research project involves extracting critical factors for success in football from objective key indicators that are derived from sensor data. We aim to achieve our objective by using a network of portable mini sensor nodes (Axiamotes from BFH-HuCE start-up Axiamo GmbH) and corresponding data fusion algorithms. The combination of inertial sensors and position measurement allows us to combine player actions and attributes with player positions for the first time, providing answers to questions such as ‘Where is the shot going to come from and what sort of pace is the shot going to have?’. The aim of the resultant measuring and information system is to optimise both player and team performance in training. The scientific innovation lies in the performance modelling based on critical success factors (CSF) and the underlying key performance indicators (KPI). The sensor data reveals patterns that identify a player’s actions; the player’s actions are used to calculate the defined key indicators; these identify critical success factors, performance constructs and, last but not least, game performance. This modelling allows the relevant information to be extracted from objective, technical measurements of position and inertial variables.

Eye tracking in sport

Eye tracking systems analyse pupil movements and combine these with a scenic image in order to visualise the course of the wearer’s gaze. The purpose of the sports eye tracker is to develop measurement technology that is suitable for analysing gaze behaviour and to facilitate its widespread use in sports practice.

Lokomat: robot for gait rehabilitation

Gait rehabilitation robots allow severely disabled people to participate in fitness training. During a randomised controlled trial, we observed a significant and rapid increase in the fitness of severely impaired stroke patients who trained on a Lokomat system enhanced with biofeedback and control systems.

Recumbent bicycle

Functional electro-stimulation enables people who have become paralysed as a result of spinal cord injuries to operate a recumbent bicycle with their own muscle power, strengthening heart, lungs and muscles in the process.

Oesophageal ECG recorder

3D mapping system for ECT signals from the oesophagus as a diagnostic aid in cases of cardiac arrhythmia.