CardioFi

Khamis, Abdelwahed; Chou, Chun Tung; Kusý, Branislav; Hu, Wen

doi:10.1145/3286978.3287003

Cited by 19 publications

(8 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, both the amplitude and phase information of Wi-Fi CSI signals are comprehensively utilized by the proposed method rather than relying solely on amplitude or phase difference information, which is a significant deviation from previous studies. In past approaches [37][38][39][40], typically, only the signal components with superior sensing performance were chosen for analysis. The rotational projection method, previously used in breath detection [41], has been adapted and extended to heartbeat detection.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…In recent studies, methods for heartbeat detection using Wi-Fi Channel State Information (CSI) have made some progress. However, most research tends to choose either the amplitude or the phase of the CSI signal for detection [37][38][39][40]. This approach overlooks the complementarity of amplitude and phase in vital signs detection using CSI signals [41].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Non-Contact Heart Rate Monitoring Method Based on Wi-Fi CSI Signal

Sun,

Bian,

2024

Sensors

View full text Add to dashboard Cite

This paper introduces an innovative non-contact heart rate monitoring method based on Wi-Fi Channel State Information (CSI). This approach integrates both amplitude and phase information of the CSI signal through rotational projection, aiming to optimize the accuracy of heart rate estimation in home environments. We develop a frequency domain subcarrier selection algorithm based on Heartbeat to subcomponent ratio (HSR) and design a complete set of signal filtering and subcarrier selection processes to further enhance the accuracy of heart rate estimation. Heart rate estimation is conducted by combining the peak frequencies of multiple subcarriers. Extensive experimental validations demonstrate that our method exhibits exceptional performance under various environmental conditions. The experimental results show that our subcarrier selection method for heart rate estimation achieves an average accuracy of 96.8%, with a median error of only 0.8 bpm, representing an approximately 20% performance improvement over existing technologies.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Non-Contact Heart Rate Monitoring Method Based on Wi-Fi CSI Signal

Sun,

Bian,

2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Na literatura, vários estudos consideram a utilizac ¸ão do CSI para o monitoramento da frequência cardíaca. Por exemplo, o sistema CardioFi, proposto em [Khamis et al 2018], monitora a frequência cardíaca usando dispositivos Wi-Fi. Neste trabalho, os autores observaram que algumas subportadoras são menos afetadas pelo multi-percurso e as mesmas são melhores para identificar o movimento do batimento cardíaco.…”

Section: Trabalhos Relacionadosunclassified

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

Galdino,

Gouveia,

Soto

et al. 2023

Anais Do XXIII Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2023)

View full text Add to dashboard Cite

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.

show abstract

“…The CardioFi system, proposed in [63] , monitors the heart rate via Wi-Fi hardware with omnidirectional antennas. The main challenge was the considerable radio frequency noise that affects Wi-Fi transmissions in real-world environments.…”

Section: Wi-fi Csi Applicationsmentioning

confidence: 99%