Remote sensoric detection of human vital signs
| Thesis title in Czech: | Vzdálená senzorická detekce lidských životních funkcí |
|---|---|
| Thesis title in English: | Remote sensoric detection of human vital signs |
| Key words: | detekce životních funkcí|radar|robotické medicínské aplikace |
| English key words: | vital signs detection|radar|robotics medical applications |
| Academic year of topic announcement: | 2021/2022 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | RNDr. David Obdržálek, Ph.D. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 23.06.2021 |
| Date of assignment: | 24.06.2021 |
| Confirmed by Study dept. on: | 29.06.2021 |
| Date and time of defence: | 04.02.2025 09:00 |
| Date of electronic submission: | 02.10.2024 |
| Date of submission of printed version: | 09.01.2025 |
| Date of proceeded defence: | 04.02.2025 |
| Opponents: | Alessandro Di Girolamo, Ph.D. |
| Guidelines |
| Cílem práce je prozkoumat možnosti vzdálené neinvazivní detekce životních funkcí člověka pomocí radaru a navrhnout systém, který by bylo možné provozovat na mobilním zařízení (robotovi), příp. ve spolupráci s dalšími typy senzorů. Pilotní implementace se zaměří na evaluaci systému pro použití ve vybraném průmyslovém prostředí. |
| References |
| J. D. Bronzino, D. R. Peterson: Biomedical Engineering Fundamentals, CRC Press, 4th Edition (2015), ISBN 978-1138748071.
J. Enderle, J. D. Bronzino: Introduction to Biomedical Engineering, Academic Press, 3rd Edition (2012), ISBN 978-0123749796. G. A. Bekey: Autonomous Robots – From Biological Inspiration to Implemental and Control, MIT Press, 1st Edition (2005), ISBN 978-0262025782. R. C. Gonzalez, R. E. Woods: Digital Image Processing, Pearson, 4th edition (2018), ISBN 978-0-133-35672-4. |
| Preliminary scope of work in English |
| Robotic systems can provide contactless monitoring of humans, either to aid in emergency situations, monitor the safety of workers in industrial settings and also monitor patients in clinical settings. One of the possible applications is a detection and evaluation of health of personnel in emergency situations: leveraging the available robotic non-invasive vital signs monitors and enhancing their capabilities in order to detect vital signs signal in real-time. |