Aleksandrowicz, A., Leonhardt, S.: Wireless and non-contact ECG measurement system - the “Aachen SmartChair”. Acta Polytechnica 47(4), 68–71 (2007)
Google Scholar
Czaplik, M., Eilebrecht, B., Walocha, R., Schauerte, P., Rossaint, R.: Clinical proof of practicability of a contactless ECG device. Eur. J. Anaesthesiol. (EJA) 27, 65–66 (2010)
CrossRef
Google Scholar
Chamadiya, B., Mankodiya, K., Wagner, M., et al.: Textile-based, contactless ECG monitoring for non-ICU clinical settings. J. Ambient Intell. Human Comput. 4, 791–800 (2013)
CrossRef
Google Scholar
Lim, Y.G., Kim, K.K., Park, K.S.: ECG recording on a bed during sleep without direct skin-contact. IEEE Trans. Biomed. Eng. 54(4), 718–725 (2007)
CrossRef
Google Scholar
Lim, Y.G., Kim, K.K., Park, K.S.: ECG measurement on a chair without conductive contact. IEEE Trans. Biomed. Eng. 53(5), 956–959 (2006)
CrossRef
Google Scholar
Weeks, J., Elsaadany, M., Lessard-Tremblay, M., et al.: A novel sensor-array system for contactless electrocardiogram acquisition. In: 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, Canada, pp. 4122–4125 (2020)
Google Scholar
Lessard-Tremblay, M., Weeks, J., Morelli, L., et al.: Contactless capacitive electrocardiography using hybrid flexible printed electrodes. Sensors 20(18), 5156 (2020)
CrossRef
Google Scholar
Babušiak, B., Šmondrk, M., Balogová, L., Gála, M.: Mattress topper with textile ECG electrodes. Fibres Text. 27(3), 25–28 (2020)
Google Scholar
Hernández-Ortega, J., et al.: Morphological analysis on single lead contactless ECG monitoring based on a beat-template development. Comput. Cardiol. 41, 369–372 (2014)
Google Scholar
Parente, F.R., Santonico, M., Zompanti, A., et al.: An electronic system for the contactless reading of ECG signals. Sensors (Basel) 17(11), 2474 (2017)
CrossRef
Google Scholar
Bujnowski, A., Kaczmarek, M., Osiński, K., et al.: Capacitively coupled ECG measurements - a CMRR circuit improvement. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds.) EMBEC & NBC, IFMBE Proceedings, vol. 65. Springer, Singapore (2018)
Google Scholar
Wang, T.W., Lin, S.F.: Negative impedance capacitive electrode for ECG sensing through fabric layer. IEEE Trans. Instrum. Measur. 70, 1–8 (2021)
Google Scholar
Verkruysse, W., Svaasand, L.O., Nelson, J.S.: Remote plethysmographic imaging using ambient light. Opt. Exp. 16(26), 21434–21445 (2008)
CrossRef
Google Scholar
Poh, M.Z., McDuff, D.J., Picard, R.W.: Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Exp. 18(10), 10762–10774 (2010)
CrossRef
Google Scholar
Rouast, P.V., Adam, M.T.P., Chiong, R., et al.: Remote heart rate measurement using low-cost RGB face video: a technical literature review. Front. Comput. Sci. 12, 858–872 (2018)
CrossRef
Google Scholar
Lamba, P.S., Virmani, D.: Contactless heart rate estimation from face videos. J. Stat. Manag. Syst. 23(7), 1275–1284 (2020)
Google Scholar
Maji, S., Massaroni, C., Schena, E., Silvestri, S.: Contactless heart rate monitoring using a standard RGB Camera. In: 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, Roma, Italy, pp. 729–733 (2020)
Google Scholar
Obeid, D., Sadek, S., Zaharia, G., Zein, G.E.: Noncontact heartbeat detection at 2.4, 5.8, and 60 GHz. A comparative study. Microwave Opt. Technol. Lett. 51(3), 666–669 (2009)
Google Scholar
El-Samad, S., Obeid, D., Zaharia, G., et al.: Heartbeat rate measurement using microwave systems: single-antenna, two-antennas, and modeling a moving person. Analog Integr. Circ. Sig. Process 96, 269–282 (2018)
CrossRef
Google Scholar
Arsalan, M., Santra, A., Will, C.: Improved contactless heartbeat estimation in FMCW radar via Kalman filter tracking. IEEE Sens. Lett. 4(5), 1–4 (2020)
CrossRef
Google Scholar
Rodríguez, A.M., Ramos-Castro, J.: Video pulse rate variability analysis in stationary and motion conditions. Biomed. Eng. Online 17(1), 11 (2018)
CrossRef
Google Scholar
Jeong, I.C., Finkelstein, J.: Introducing contactless blood pressure assessment using a high speed video camera. J. Med. Syst. 40(4), 77 (2016)
CrossRef
Google Scholar
Fan, X., Ye, Q., Yang, X., et al.: Robust blood pressure estimation using an RGB camera. J. Ambient Intell. Human Comput. (2018). https://doi.org/10.1007/s12652-018-1026-6
CrossRef
Google Scholar
Fan, X., Tjahjadi, T.: Robust contactless pulse transit time estimation based on signal quality metric. Pattern Recognit. Lett. 137, 12–16 (2020)
CrossRef
Google Scholar
Luo, H., Yang, D., Barszczyk, A., et al.: Smartphone-based blood pressure measurement using transdermal optical imaging technology. Circ. Cardiovasc. Imaging 12(8), (2019)
CrossRef
Google Scholar
Kamshilin, A.A., Zaytsev, V.V., Mamontov, O.V.: Novel contactless approach for assessment of venous occlusion plethysmography by video recordings at the green illumination. Sci. Rep. 7(1), 464 (2017)
CrossRef
Google Scholar
Zaytsev, V.V., Miridonov, S.V., Mamontov, O.V., Kamshilin, A.A.: Contactless monitoring of the blood-flow changes in upper limbs. Biomed. Opt. Exp. 9(11), 5387–5399 (2018)
CrossRef
Google Scholar
Nakano, K., Aoki, Y., Satoh, R., et al.: Visualization of venous compliance of superficial veins using non-contact plethysmography based on digital red-green-blue images. Sensors (Basel) 16(12), 1996 (2016)
CrossRef
Google Scholar
Webster, J.: Design of Pulse Oximeters. Institute of Physics, Bristol (1997)
CrossRef
Google Scholar
Wieringa, F., Mastik, F., Steen, V.D.: Contactless multiple wavelength photoplethysmographic imaging: a first step toward “SpO2 Camera” technology. Ann. Biomed. Eng. 33(8), 1034–1041 (2005)
CrossRef
Google Scholar
Humphreys, K., Ward, T., Markham, C.: Noncontact simultaneous dual wavelength photoplethysmography: a further step toward noncontact pulse oximetry. Rev. Sci. Instrum. 78, 044304–044306 (2007)
CrossRef
Google Scholar
Shao, D., Liu, C., Tsow, F., et al.: Noncontact monitoring of blood oxygen saturation using camera and dual-wavelength imaging system. IEEE Trans. Biomed. Eng. 63(6), 1091–1098 (2015)
CrossRef
Google Scholar
Bal, U.: Non-contact estimation of heart rate and oxygen saturation using ambient light. Biomed. Opt. Exp. 6, 86–97 (2015)
CrossRef
Google Scholar
Guazzi, A.R., Villarroel, M., Jorge, J., et al.: Non-contact measurement of oxygen saturation with an RGB camera. Biomed. Opt. Exp. 6, 3320–3338 (2015)
CrossRef
Google Scholar
Verkruysse, W., Bartula, M., Bresch, E., et al.: Calibration of contactless pulse oximetry. Anesth. Analg. 124(1), 136–145 (2017)
CrossRef
Google Scholar
Tan, K.S., Saatchi, R., Elphick, H., et al.: Real-time vision based respiration monitoring system. In: 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), Newcastle upon Tyne, pp. 770–774 (2010)
Google Scholar
Bartula, M., Tigges, T., Muehlsteff. J.: Camera-based system for contactless monitoring of respiration. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, pp. 2672–2675 (2013)
Google Scholar
Bernacchia, N., Scalise, L., Casacanditella, L., et al.: Non contact measurement of heart and respiration rates based on Kinect™. In: IEEE International Symposium on Medical Measurements and Applications (MeMeA), Lisboa, pp1–5 (2014)
Google Scholar
Lukac, T., Pucik, J., Chrenko, L.: Contactless recognition of respiration phases using web camera. In: IEEE RADIOELEKTRONIKA, 24th International Conference, pp. 1–4 (2014)
Google Scholar
Ganfure, G.O.: Using video stream for continuous monitoring of breathing rate for general setting. SIViP 13, 1395–1403 (2019)
CrossRef
Google Scholar
Janssen, R., Wang, W., Moço, A., et al.: Video-based respiration monitoring with automatic region of interest detection. Physiol. Meas. 37(1), 100–114 (2016)
CrossRef
Google Scholar
Massaroni, C., Lo Presti, D., Formica, D., et al.: Non-contact monitoring of breathing pattern and respiratory rate via RGB signal measurement. Sensors (Basel) 19(12), 2758 (2019)
CrossRef
Google Scholar
Sanyal, S., Nundy, K.K.: Algorithms for monitoring heart rate and respiratory rate from the video of a user’s face. IEEE J. Transl. Eng. Health Med. 6, 1–11 (2018)
CrossRef
Google Scholar
Min, S.D., Kim, J.K., Shin, H.S., et al.: Noncontact respiration rate measurement system using an ultrasonic proximity sensor. IEEE Sens. J. 10, 1732–1739 (2010)
CrossRef
Google Scholar
Lee, Y.S., Pathirana, P.N., Evans, R.J., et al.: Noncontact detection and analysis of respiratory function using microwave doppler radar. J. Sensors (2015). https://doi.org/10.1155/2015/548136
CrossRef
Google Scholar
Sun, G., Matsui, T.: Rapid and stable measurement of respiratory rate from Doppler radar signals using time domain autocorrelation model. In: Conference Proceedings IEEE Engineering Medicine and Biology Society, pp. 5985–5988 (2015)
Google Scholar
Alemaryeen, A., Noghanian, S., Fazel-Rezai, R.: Respiratory rate measurements via Doppler radar for health monitoring applications. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, pp. 829–832 (2017)
Google Scholar
Goldfine, C.E., Oshim, F.T., Carreiro, S.P., et al.: Respiratory rate monitoring in clinical environments with a contactless ultra-wideband impulse radar-based sensor system. In: Proceedings of Annual Hawaii International Conference on System Sciences, pp. 3366–3375 (2020)
Google Scholar
Procházka, A., Schätz, M., Centonze, F., et al.: Extraction of breathing features using MS kinect for sleep stage detection. SIViP 10, 1279–1286 (2016)
CrossRef
Google Scholar
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. Opt. Soc. Am. A 37(11), C118–C124 (2020)
CrossRef
Google Scholar
Tran, V.P., Al-Jumaily, A.A., Islam, S.M.S.: Doppler radar-based non-contact health monitoring for obstructive sleep apnea diagnosis: a comprehensive review. Big Data Cogn. Comput. 3(1), 3 (2019)
CrossRef
Google Scholar
Yang, X., Fan, D., Ren, A., et al.: Diagnosis of the hypopnea syndrome in the early stage. Neural Comput. Appl. 32, 855–866 (2020)
CrossRef
Google Scholar
Abramiuc, B., Zinger, S., de With, P.H.N., et al.: Home video monitoring system for neurodegenerative diseases based on commercial HD cameras. In: IEEE 5th International Conference on Consumer Electronics—Berlin (ICCE-Berlin), pp. 489–492 (2015)
Google Scholar
Shi, W.Y., Chiao, J.-C.: Contactless hand tremor detector based on an inductive sensor. In: IEEE Dallas Circuits and Systems Conference (DCAS), Arlington, TX, pp. 1–4 (2016)
Google Scholar
Almagooshi, S., Hakami, M., Alsayyari, M., et al.: An assisted living home for Alzheimer’s patient in Saudi Arabia, a prototype. In: Stephanidis, C. (eds) HCI International 2015 - Posters’ Extended Abstracts. HCI: Communications in Computer and Information Science, p. 529. Springer, Cham (2015)
Google Scholar
Lam, K., Tsang, N.W., Han, S., et al.: Activity tracking and monitoring of patients with Alzheimer’s disease. Multimed. Tools Appl. (2015). https://doi.org/10.1007/s11042-015-3047-x
CrossRef
Google Scholar
Nikishina, V.B., Petrash, E.A., Nikishin, I.I.: Application of a hardware and software system of computer vision for rehabilitation training of post-stroke patients. Biomed. Eng. 53, 44–50 (2019)
CrossRef
Google Scholar
So, C.F., Choi, K.S., Wong, T.K., et al.: Recent advances in noninvasive glucose monitoring. Med. Devices (Auckl.) 5, 45–52 (2012)
Google Scholar
Kim, J., Campbell, A.S., Wang, J.: Wearable non-invasive epidermal glucose sensors: a review. Talanta 177, 163–170 (2018)
CrossRef
Google Scholar
Novikov, I.A.: Noninvasive determination of blood glucose concentration by comparing the eardrum and head skin temperatures. Biomed. Eng. 51, 341–345 (2018)
CrossRef
Google Scholar