Resumen
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.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| Páginas | 407-411 |
| Número de páginas | 5 |
| ISBN (versión digital) | 9798350370997 |
| DOI | |
| Estado | Publicada - 2024 |
| Publicado de forma externa | Sí |
| Evento | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 - Big Island, Estados Unidos Duración: 19 feb. 2024 → 22 feb. 2024 |
Serie de la publicación
| Nombre | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
|---|
Conferencia
| Conferencia | 2024 International Conference on Computing, Networking and Communications, ICNC 2024 |
|---|---|
| País/Territorio | Estados Unidos |
| Ciudad | Big Island |
| Período | 19/02/24 → 22/02/24 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 3: Salud y bienestar
Huella
Profundice en los temas de investigación de 'Parameter tuning for accurate heart rate measurement using Wi-Fi signals'. En conjunto forman una huella única.Citar esto
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