TY - GEN
T1 - Combination of artificial intelligence and continuous wave radar sensor in diagnosing breathing disorder
AU - Van, Nguyen Thi Phuoc
AU - Tang, Liqiong
AU - Hasan, Syed Faraz
AU - Mukhopadhyay, Subhas
AU - Minh, Nguyen Duc
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2020.
PY - 2020
Y1 - 2020
N2 - The combination of artificial intelligence (AI) and sensor systems enables many applications. This work shows an innovative solution to test the performance of smart Continuous Wave (CW) Doppler radar sensor system by investigating the mathematical models for receiving signals from different breathing disorder patients. CW radar sensor has many good features such as simple hardware structure, narrow bandwidth frequency, and high sensitivity in detecting the chest movement of humans remotely. Based on the developed berating theoretical models, data sets at different values of signal-to-noise ratio (SNR) are generated. The next step is to apply machine learning technique on this data set to categorize breathing disorder patterns. The results show the high potential application of smart radar sensor in diagnosing disorder sleeping problems.
AB - The combination of artificial intelligence (AI) and sensor systems enables many applications. This work shows an innovative solution to test the performance of smart Continuous Wave (CW) Doppler radar sensor system by investigating the mathematical models for receiving signals from different breathing disorder patients. CW radar sensor has many good features such as simple hardware structure, narrow bandwidth frequency, and high sensitivity in detecting the chest movement of humans remotely. Based on the developed berating theoretical models, data sets at different values of signal-to-noise ratio (SNR) are generated. The next step is to apply machine learning technique on this data set to categorize breathing disorder patterns. The results show the high potential application of smart radar sensor in diagnosing disorder sleeping problems.
KW - Classification algorithm
KW - Continuous wave
KW - Machine learning
KW - Vital signs detection
UR - https://www.scopus.com/pages/publications/85084187989
U2 - 10.1007/978-981-15-2780-7_91
DO - 10.1007/978-981-15-2780-7_91
M3 - Conference contribution
AN - SCOPUS:85084187989
SN - 9789811527791
T3 - Advances in Intelligent Systems and Computing
SP - 853
EP - 863
BT - Intelligent Computing in Engineering - Select Proceedings of RICE 2019
A2 - Solanki, Vijender Kumar
A2 - Hoang, Manh Kha
A2 - Lu, Zhonghyu (Joan)
A2 - Pattnaik, Prasant Kumar
PB - Springer
T2 - 4th International Conference on Research in Intelligent and Computing in Engineering, RICE 2019
Y2 - 8 August 2019 through 9 August 2019
ER -