Otimização de parâmetros para detecção de batimentos cardíacos através do sinal Wi-Fi

• Iandra Galdino UFF
• Brenda Gouveia UFF
• Julio Soto UFF
• Egberto Caballero UFF
• Taiane Ramos UFF
• Débora Muchaluat-Saade UFF
• Célio Albuquerque UFF

DOI: https://doi.org/10.5753/sbcas.2023.229965

Resumo

Nos últimos anos, observa-se grande evolução no desenvolvimento de aplicativos e dispositivos para monitoramento de sinais vitais, sendo o monitoramento do batimento cardíaco crucial para a detecção de possíveis alterações da saúde humana. Este trabalho investiga um conjunto de configurações para o monitoramento cardíaco utilizando dados CSI de uma rede Wi-Fi convencional de forma não-invasiva ao corpo humano. Quatro configurações dos parâmetros do processamento do sinal foram investigadas para avaliar a proposta. Nos experimentos foram utilizados mais de 100 participantes, em 17 posições e atividades por participante. Na melhor configuração nossa proposta obteve um erro médio de 0, 07 bpm na estimação do batimento cardíaco na posição deitada.

Referências

Bowen, L., Hulbert, R., Fong, J., Rentz, Z., and Debruhl, B. (2019). Democratized radio tomography: Using consumer equipment to see through walls. IEEE Vehicular Technology Conference, pages 1–6.

Duan, S., Yu, T., and He, J. (2018). WiDriver: Driver Activity Recognition System Based on WiFi CSI. International Journal of Wireless Information Networks, 25(2):146–156.

Gringoli, F., Schulz, M., Link, J., and Hollick, M. (2019). Free your csi: A channel state information extraction platform for modern wi-fi chipsets. In Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, WiNTECH ’19, page 21–28.

Gu, Y., Liu, T., Li, J., Ren, F., Liu, Z., Wang, X., and Li, P. (2018). Emosense: Data-driven emotion sensing via off-the-shelf wifi devices. In IEEE International Conference on Communications (ICC), pages 1–6. IEEE.

Gu, Y., Zhan, J., Ji, Y., Li, J., Ren, F., and Gao, S. (2017). MoSense: An RF-Based Motion Detection System via Off-the-Shelf WiFi Devices. IEEE Internet of Things Journal, 4(6):2326–2341.

Gu, Y., Zhang, X., Liu, Z., and Ren, F. (2019). Wifi-based real-time breathing and heart rate monitoring during sleep. In 2019 IEEE Global Communications Conference (GLOBECOM), pages 1–6. IEEE.

IEEE 802.11 Working Group (2003). Ieee 802.11g-2003 ieee standard for information technology. Technical report, IEEE.

IEEE 802.11 Working Group (2009). Ieee 802.11n-2009 ieee standard for information technology. Technical report, IEEE.

IEEE 802.11 Working Group (2013). Ieee 802.11ac-2013 ieee standard for information technology. Technical report, IEEE.

Khamis, A., Chou, C. T., Kusy, B., and Hu, W. (2018). Cardiofi: Enabling heart rate monitoring on unmodified COTS WiFi devices. ACM International Conference Proceeding Series, pages 97–106.

Lee, S., Park, Y. D., Suh, Y. J., and Jeon, S. (2018). Design and implementation of monitoring system for breathing and heart rate pattern using WiFi signals. IEEE Annual Consumer Communications and Networking Conference, pages 1–7.

Liu, J., Chen, Y., Wang, Y., Chen, X., Cheng, J., and Yang, J. (2018). Monitoring vital signs and postures during sleep using WiFi signals. IEEE Internet of Things Journal, 5(3):2071–2084.

Liu, J., Liu, H., Chen, Y., Wang, Y., and Wang, C. (2019). Wireless sensing for human activity: A survey. IEEE Communications Surveys & Tutorials, 22(3):1629–1645.

Liu, J., Wang, Y., Chen, Y., Yang, J., Chen, X., and Cheng, J. (2015). Tracking vital signs during sleep leveraging off-the-shelf wifi. In Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing, pages 267–276.

Ma, Y., Zhou, G., and Wang, S. (2019). WiFi sensing with channel state information: A survey. ACM Computing Surveys, 52(3).

Nelson, B. W. and Allen, N. B. (2019). Accuracy of consumer wearable heart rate measurement during an ecologically valid 24-hour period: intraindividual validation study. JMIR mHealth and uHealth, 7(3):e10828.

Shang, J. and Wu, J. (2016). Fine-grained vital signs estimation using commercial wi-fi devices. In Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop, pages 30–32.

Soto, J. C., Galdino, I., Caballero, E., Ferreira, V., Muchaluat-Saade, D., and Albuquerque, C. (2022). A survey on vital signs monitoring based on wi-fi csi data. Computer Communications, 195:99–110.

Wang, X. and Shao, D. (2022). Chapter 1 human physiology and contactless vital signs monitoring using camera and wireless signals. In Wang, W. and Wang, X., editors, Contactless Vital Signs Monitoring, pages 1–24. Academic Press.

Wang, X., Yang, C., and Mao, S. (2017). Phasebeat: Exploiting csi phase data for vital sign monitoring with commodity wifi devices. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pages 1230–1239. IEEE.

Wang, X., Yang, C., and Mao, S. (2020). On CSI-Based Vital Sign Monitoring Using Commodity WiFi. ACM Transactions on Computing for Healthcare, 1(3):1–27.

Wang, Z., Jiang, K., Hou, Y., Dou, W., Zhang, C., Huang, Z., and Guo, Y. (2019). A survey on human behavior recognition using channel state information. IEEE Access, 7:155986–156024.

Weinstein, S. and Ebert, P. (1971). Data transmission by Frequency-Division Multiplexing using the Discrete Fourier Transform. IEEE Transactions on Communication Technology, 19(5):628–634.