[1] SMITH I, MACKAY J, FAHRID N, et al. Respiratory rate measurement: a comparison of methods[J]. British Journal of Healthcare Assistants, 2011, 5(1): 18-23.
[2] KARMAKAR C, KHANDOKER A, PENZEL T, et al. Detection of respiratory arousals using photoplethysmography (PPG) signal in sleep apnea patients[J]. IEEE Journal of Biomedical and Health Informatics, 2013, 18(3): 1065-1073.
[3] MASSARONI C, NICOLO A, LO PRESTI D, et al. Contact-based methods for measuring respiratory rate[J]. Sensors, 2019, 19(4): 908.
[4] KLAP T, SHINAR Z. Using piezoelectric sensor for continuous-contact-free monitoring of heart and respiration rates in real-life hospital settings[C]//Computing in Cardiology, 2013: 671-674.
[5] KWASNIEWSKA A, SZANKIN M, RUMINSKI J, et al. Improving accuracy of respiratory rate estimation by restoring high resolution features with transformers and recursive convolutional models[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021: 3857-3867.
[6] MILLER D J, CAPODILUPO J V, LASTELLA M, et al. Analyzing changes in respiratory rate to predict the risk of COVID-19 infection[J]. PloS One, 2020, 15(12): e0243693.
[7] SIAM A I, EL-BAHNASAWY N A, EL BANBY G M, et al. Efficient video-based breathing pattern and respiration rate monitoring for remote health monitoring[J]. Journal of the Optical Society of America A, 2020, 37(11): C118-C124.
[8] 霍亮, 杨学志, 李江山, 等. 适用于昼夜环境的呼吸率视频检测[J]. 中国图象图形学报, 2018, 23(1): 144-154.
HUO L, YANG X Z, LI J S, et al. Respiratory rate estimation under day and night conditions[J]. Journal of Image and Graphics, 2018, 23(1): 144-154.
[9] 任国军, 杨学志, 臧宗迪, 等. 多种姿态下的人体呼吸率视觉检测[J]. 计算机系统应用, 2022, 31(8): 252-258.
REN G J, YANG X Z, ZANG Z D, et al. Visual detection of human respiratory rate in multiple poses[J]. Computer Systems & Applications, 2022, 31(8): 252-258.
[10] RIVERA A J A, VILLALOBOS A D C, MONJE J C N. Post-disaster rescue facility: human detection and geolocation using aerial drones[C]//2016 IEEE Region 10 Conference (TENCON), 2016: 384-386.
[11] AL-NAJI A, PERERA A G, CHAHL J. Remote measurement of cardiopulmonary signal using an unmanned aerial vehicle[C]//IOP Conference Series: Materials Science and Engineering.[S.l.]: IOP Publishing, 2018
[12] AL-NAJI A, PERERA A G, MOHAMMED S L, et al. Life signs detector using a drone in disaster zones[J]. Remote Sensing, 2019, 11(20): 2441.
[13] SANYAL S, NUNDY K K. Algorithms for monitoring heart rate and respiratory rate from the video of a user’s face[J]. IEEE Journal of Translational Engineering in Health and Medicine, 2018, 6: 1-11.
[14] CHAN A M, SELVARAJ N, FERDOSI N, et al. Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls[C]//Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013: 6115-6118.
[15] WADHWA N, RUBINSTEIN M, DURAND F, et al. Phase-based video motion processing[J]. ACM Transactions on Graphics (TOG), 2013, 32(4): 1-10.
[16] RIAZ F, HASSAN A, REHMAN S, et al. EMD-based temporal and spectral features for the classification of EEG signals using supervised learning[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015, 24(1): 28-35.
[17] XUAN B, XIE Q, PENG S. EMD sifting based on bandwidth[J]. IEEE Signal Processing Letters, 2007, 14(8): 537-540.
[18] KARLEN W, RAMAN S, ANSERMINO J M, et al. Multiparameter respiratory rate estimation from the photoplethysmogram[J]. IEEE Transactions on Biomedical Engineering, 2013, 60(7): 1946-1953.
[19] HONG H P, CUI X Z. Time-frequency spectral representation models to simulate nonstationary processes and their use to generate ground motions[J]. Journal of Engineering Mechanics, 2020, 146(9): 04020106.
[20] GANFURE G O. Using video stream for continuous monitoring of breathing rate for general setting[J]. Signal, Image and Video Processing, 2019, 13(7): 1395-1403.
[21] 刘今越, 刘浩, 贾晓辉, 等. 基于视觉的非接触呼吸频率自动检测方法[J]. 仪器仪表学报, 2019, 40(2): 51-58.
LIU J Y, LIU H, JIA X H, et al. Vision-based automatic detection method for non-contact respiratory rate[J]. Chinese Journal of Scientific Instrument, 2019, 40(2): 51-58. |