Prof. Dr. Seepold also explaining the students offers at HTWG Konstanz

Short description of the courses

Stress pattern detection with a reduced set of parameters

According to the World Health Organisation (WHO), stress is recognized as a predominant disease with raising costs for treatment and rehabilitation. An increasing amount of people will face long time limitations (partially not reversible). Furthermore, it lowers the quality of life caused by diseases provoked or influenced by stress. First research results show that stress can be detected with the help of a reduced set of parameters extracted with the help of mobile and wearable devices.

Non-invasive Sleep Phase Detection

The role of sleep in humans’ life should never be undervalued, it takes almost a third of each day and it has high influence on the body and brain when restoring from fatigue. Long-term influence of poor sleeping quality can result in depressions, cardiovascular disease, diabetes, obesity, dementia etc. In parallel to well-known but very costly sleep laboratory installations and alternative approach is under investigation that allows non-invasive body monitoring with low-cost devices. The approach is supporting the prediction of the sleep stages while focusing on heartbeat, body movement and respiration.