Hardware and software supporting physiological measurement (HSPM-2022)
- This workshop addressed scientific research and development to acquire physiological signals, process signals, and extract relevant data for further analysis. There are very different domains of application, for example. Tiredness and drowsiness are responsible for a significant percentage of road accidents. There are different approaches to monitoring driver drowsiness, ranging from the driver’s steering behavior to in-depth analysis of the driver, e.g., eye tracking, blinking, yawning, or Electrocardiogram (ECG). One of the leading causes of road accidents in Egypt is trucks, buses, cars, motorcycles, and pedestrians, all sharing the same infrastructure. The result is that there are more than 12,000 fatalities in road accidents every year. Thousands are injured, and some suffer long-term disabilities. A similar effect can be observed in Germany for all types of vehicles. According to the Federal Statistical Office, a high percentage of accidents involving personal injury are directly or indirectly caused by drowsiness. A different application domain is sleep monitoring: Healthy and sound sleep is a prerequisite for a rested mind and body. Both form the basis for physical and mental health. Healthy sleep is counteracted by sleep disorders, the medically diagnosed frequency of which increases sharply from the age of 40. Increasing acceptance can be promoted by monitoring vital signs during sleep over long periods through the exclusive use of noninvasive technologies. In the case of objective measurement, the vital signs are measured to calculate the sleep phases or sleep efficiency and, after applying the appropriate algorithms, to record the sleep quality. About a quarter of all Germans have the feeling of sleeping poorly. The disruptive factors include problems falling asleep or the subjective feeling that sleep is not restful. About half of those subjectively affected have consulted a doctor. Older people and people living alone are particularly affected. There is no doubt that sleep abnormalities can lead to poor performance throughout the day, physical/somatic illnesses, psychological problems, or even premature death. Prevention, early detection, and therapy support are relevant factors impacting the personal quality of life. The presented approaches have different application domains but share standard methodologies and technologies. Cross-domain thinking and application are essential to successful data acquisition and processing, either with traditional or cutting-edge approaches.
| Editor of HS Reutlingen | Serrano Alarcón, Ángel |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-39869 |
| DOI: | https://doi.org/10.34645/opus-3986 |
| ISBN: | 978-3-00-074291-0 |
| Publisher: | Hochschule Reutlingen |
| Place of publication: | Reutlingen |
| Editor: | Ángel Serrano AlarcónORCiD, Andrei BoikoORCiD |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2022 |
| Contributing Corporation: | Hardware and software supporting physiological measurement workshop, 27.-28.10.2022, Konstanz |
| Page Number: | 29 |
| DDC classes: | 004 Informatik |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
