Abstract
Heart rate monitoring is crucial for detecting possible changes in human health. Therefore, in recent years, the development of applications and devices that monitor vital signs has evolved significantly. This work proposes a non-contact approach to heart rate monitoring through the processing of channel state information from a commodity Wi-Fi network. Various settings for signal processing parameters were evaluated. The experimental analysis counted on over 50 participants, each performing 17 different positions and activities. Results confirm that it is possible to achieve accurate heart rate detection for each position or activity, provided proper parameter configuration.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 407-411 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350370997 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 - Big Island, United States Duration: 19 Feb 2024 → 22 Feb 2024 |
Publication series
| Name | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
|---|
Conference
| Conference | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
|---|---|
| Country/Territory | United States |
| City | Big Island |
| Period | 19/02/24 → 22/02/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Channel state information
- CSI
- Heart rate
- Wi-Fi
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