Augmented Auditive Intelligence

The dynamics of complex diseases and the effectiveness of interventions can often only be tracked through continuous monitoring of various vital signs. In this context, the aggregation of sensory vital data offers great potential for the use of artificial intelligence to support medical decision-making and to determine early warning signals that otherwise often remain hidden.

The goal of the project is the user-centered development of a wearable multi-sensor system that fuses additional sensors for measuring cardiovascular data, EEG sensors for measuring brain activity, and temperature and motion sensors on a networked hearing system and enables complex medical diagnoses and decisions based on AI technologies. Here, the ear offers an accurate location suitable for long-term measurements, where a sensor-equipped hearing system can be unobtrusively integrated into patients’ daily lives. Concepts for using the system to improve audiological, occupational medical and cardiological care processes are being developed and tested together with patients and medical professionals.

The use of AI opens up new possibilities for the prognosis and diagnosis of health conditions, which can, however, radically change the doctor-patient relationship. The design of human-machine collaboration and the transparency of decision-making are crucial here.