TY - GEN
T1 - Acute Inhalation Injury Signatures in Breathing Rate Abnormalities in Domestic Environment using RF Sensing
AU - Ali, Najah Abed Abu
AU - Rehman, Mubashir
AU - Khan, Muhammad Bilal
AU - Hayajneh, Mohammad
AU - Kobaisi, Shayma Al
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Toxic gases pose different risks to human health. Exposure to these toxic gases can be through inhalation of mists, fumes, aerosols, and dust. These inhaled gases can cause injuries, including skin burns, respiratory distress, and death. Nowadays, these harmful toxic agents have become more common in domestic environments, increasing the chances of toxic inhalation in daily life. In a domestic environment, gas toxicity is detected through the odor of toxic gases, as equipment for gas sensing is not readily available and expensive, requiring technical expertise for usage. This situation demands novel methods for avoiding toxic inhalation injuries. Furthermore, most toxic gases affect the breathing rate; thus, constant detection of breathing rate may provide an early warning for toxic gas inhalation and avoid injury. This research study develops a software-defined radio (SDR) system using radio frequency (RF) sensing to monitor abnormal breathing rates continuously by observing channel state information (CSI) variations in the domestic environment. This research work can effectively detect abnormal breathing rates for multi-person in the same environment. The Fast Fourier Transform (FFT) frequency domain analysis-based method is used to detect the abnormal breathing rates of multiple individuals. This study faithfully detects normal, slow, and fast breathing rates for multiple expected cases. The developed system shows noteworthy performance even for five persons in the same environment. This research work is notable because it can be deployed in domestic and occupational settings.
AB - Toxic gases pose different risks to human health. Exposure to these toxic gases can be through inhalation of mists, fumes, aerosols, and dust. These inhaled gases can cause injuries, including skin burns, respiratory distress, and death. Nowadays, these harmful toxic agents have become more common in domestic environments, increasing the chances of toxic inhalation in daily life. In a domestic environment, gas toxicity is detected through the odor of toxic gases, as equipment for gas sensing is not readily available and expensive, requiring technical expertise for usage. This situation demands novel methods for avoiding toxic inhalation injuries. Furthermore, most toxic gases affect the breathing rate; thus, constant detection of breathing rate may provide an early warning for toxic gas inhalation and avoid injury. This research study develops a software-defined radio (SDR) system using radio frequency (RF) sensing to monitor abnormal breathing rates continuously by observing channel state information (CSI) variations in the domestic environment. This research work can effectively detect abnormal breathing rates for multi-person in the same environment. The Fast Fourier Transform (FFT) frequency domain analysis-based method is used to detect the abnormal breathing rates of multiple individuals. This study faithfully detects normal, slow, and fast breathing rates for multiple expected cases. The developed system shows noteworthy performance even for five persons in the same environment. This research work is notable because it can be deployed in domestic and occupational settings.
KW - CSI
KW - RF sensing
KW - SDR
KW - Toxic inhalation
UR - http://www.scopus.com/inward/record.url?scp=85167700322&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85167700322&partnerID=8YFLogxK
U2 - 10.1109/IWCMC58020.2023.10183305
DO - 10.1109/IWCMC58020.2023.10183305
M3 - Conference contribution
AN - SCOPUS:85167700322
T3 - 2023 International Wireless Communications and Mobile Computing, IWCMC 2023
SP - 842
EP - 847
BT - 2023 International Wireless Communications and Mobile Computing, IWCMC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2023
Y2 - 19 June 2023 through 23 June 2023
ER -