University of Twente Student Theses
Contactless Heartbeat Estimation with FMCW Radar
Riahi, T. (2024) Contactless Heartbeat Estimation with FMCW Radar.
|
PDF
669kB |
| Abstract: | Measuring heart rate is usually done with the use of invasive technologies, such as an electrocardiogram which uses electrodes. However, this may not always be the optimal method. Non-invasive methods for measuring heart rate are often preferred due to their simplicity and reduced discomfort for the individual. Using Millimetre-wave frequency modulated continuous wave radars (FMCW) to detect chest movements and extract vital signs is a promising possible alternative due to its non-invasive nature. In this paper we use Fast Fourier transformations, the Savitzky–Golay filter, Elliptic filters, and the Kalman Filter to explore the feasibility of real-time contactless heart rate estimation using FMCW radar. Across all datasets, using a 2.5s monitoring window, an average Mean Absolute Percentage Error (MAPE) of 5.56% was achieved. Remarkably, on an individual dataset, the MAPE reached an impressive low of 3.41%, highlighting the robustness of the approach in advancing real-time contactless heart rate estimation with FMCW radar. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 50 technical science in general, 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/98152 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page