References
- K. Fischbach et al. “Cardiac Magnetic Resonance Imaging Using an Open 1.0T MR Platform: A Comparative Study with a 1.5T Tunnel System“, Pol. J. Radiol., vol. 82, pp. 498–505, 2017, https://doi.org/10.12659/PJR.899822
- J. Brablik et al, “A comparison of alternative approaches to MR cardiac triggering: A pilot study at 3 Tesla“, IEEE Journal of Biomedical and Heath Informatics, vol. 26, no. 6, pp. 2594-2605, 2022. https://doi.org/10.1109/JBHI.2022.3146707
- C. K. Mechefske, “Acoustic noise in MRI scanners“. Biomedical Applications of Vibration and Acoustics in Therapy, Bioeffect and Modeling. ASME, New York, 2008, pp. 275-328.
- Z. Wu, Y. C. Kim, M. C. K Khoo, and K. S. Nayak, “Evaluation of an independent linear model for acoustic noise on a conventional MRI scanner and implications for acoustic noise reduction“, Magnetic Resonance in Medicine, vol. 71, pp. 1613-1620, 2014, https://doi.org/10.1002/mrm.24798
- E. T. Tan, et al. “Reduced acoustic noise in diffusion tensor imaging on a compact MRI system“, Magn. Reson. Med., vol. 79, pp. 2902–2911, 2017, https://doi.org/10.1002/mrm.26949
- A. Glowacz, “Thermographic fault diagnosis of electrical faults of commutator and induction motors“, Engineering Applications of Artificial Intelligence, vol. 121, 105962, 2023, https://doi.org/10.1016/jengappai.2023.105962
- M. C. Steckner, “A review of MRI acoustic noise and its potential impact on patient and worker health“, eMagRes, vol. 9, pp. 21-38, 2020, https://doi.org/10.1002/9780470034590.emrstm1628
- C. O. Manlises et al. “Monitoring of Blood Pressure Using Photoplethysmographic (PPG) Sensor with Aromatherapy Diffusion“. In Proceedings of the 6th IEEE International Conference on Control System, Computing and Engineering, 25–27 November 2016, Penang, Malaysia, pp.476-480.
- M. Nitzan, and Z. Ovadia-Blechman, “Physical and physiological interpretations of the PPG signal“, Photoplethysmography: Technology, Signal Analysis, and Applications,., Allen, J., Kyriacou, P.A. Eds.; Elsevier: London, United Kingdom, 2022; pp. 319–339, ISBN: 978-0-12-823374-0, https://doi.org/10.1016/B978-0-12-823374-0.00009-8
- M. Zhang, P. F. Wei, and Y. Li, “A LabVIEW based measure system for pulse wave transit time“. In Proceedings of the International Conference on Information Technology and Applications in Biomedicine, Shenzhen, China, 30–31 May 2008.
- B. M. McCarthy, B. O’Flynn, and A. Mathewson, “An Investigation of Pulse Transit Time as a Non-Invasive Blood Pressure Measurement Method“, Journal of Physics: Conference Series, vol. 307, 2011, https://doi.org/10.1088/1742-6596/307/1/012060
- H. Ahmed, and R.J. Rony, “Understanding self-reported stress among drivers and designing stress monitor using heart rate variability“, Quality and User Experience, vol. 6, no. 4, 2021, https://doi.org/10.1007/S41233-020-00043-0
- P. Celka, P.H. Charlton, B. Farukh, P. Chowienczyk, and J. Alastruey, “Influence of mental stress on the pulse wave features of photoplethysmograms“, Healthc Technol Lett, vol. 7, pp. 7–12, 2020, https://doi.org/10.1049/htl.2019.0001
- M. Abbod, Y-R. Chiou, S-H. Yang, S-Z. Fan, and J-S. Shieh, “Developing a monitoring psychological stress index system via photoplethysmography”, Artif Life Robotics 16:430–433, 2011, https://doi.org/10.1007/s10015-011-0976-y
- L. Wang, B. P. Lo, and G. Z. Yang, “Multichannel reflective PPG earpiece sensor with passive motion cancellation“. IEEE Transactions on Biomedical Circuits and Systems, vol. 1, no. 4, pp. 235-241, 2007, https://doi.org/10.1109/TBCAS.2007.910900
- J. Přibil, A. Přibilová, and I. Frollo, “Physiological impact of vibration and noise in an open-air magnetic resonance imager: Analysis of a PPG signal of an examined person“, Proceedings, vol. 42, 14. 2020, https://doi.org/10.3390/ecsa-6-06631
- J. Přibil, A. Přibilová, and I. Frollo, “First-step PPG signal analysis for evaluation of stress induced during scanning in the open-air MRI device”, Sensors, vol. 20, 3532, 2020, https://doi.org/10.3390/s20123532
- J. Přibil, A. Přibilová, and I. Frollo, “Wearable PPG Optical Sensor with Integrated Thermometer for Contact Measurement of Skin Temperature” in Proceedings of the 10th International Electronic Conference on Sensors and Applications, 15–30 November 2023, MDPI: Basel, Switzerland, https://sciforum.net/paper/view/16249
- M. Elgendi, “PPG Signal Analysis: An Introduction Using MATLAB”, CRC Press, 27-36, 2021. ISBN 978-1-138-04971-0.
- Adafruit Metro Mini 328 V2 - Arduino-Compatible - 5V 16MHz - STEMMA QT / Qwiic. Available online: https://www.adafruit.com/product/2590 (accessed on January 6, 2023)
- Gravity: PPG Heart Rate Monitor Sensor for Arduino (Analog/Digital). Available online: https://www.dfrobot.com/product-1540.html (accessed on January 6, 2023)
- Adafruit MCP9808 Precision I2C Temperature Sensor Guide. Available online: https://cdnlearn.adafruit.com/downloads/pdf/adafruit-mcp9808-precision-i2c-temperature-sensor-guide.pdf (accessed on January 6, 2023)
- P. Andris, et al. “Conversion of the Bruker Minispec Instrumentation into the Static Magnetic Field Standard“. Measurement, vol. 23, no. 3, pp. 124-129, 2023, https://doi.org/10.2478/msr-2023-0016
- Pt100 – high-precision thermometer, data logger. Available online: https://www.greisinger.de/p/handmessgeraeteundsensoren/temperatur/geraete-pt100/gmh-3750/600335/#googtrans(de|en) (accessed on January 6, 2023).
- Microlife BP A150 AFIB. Available online: https://www.microlife.com/support/blood-pressure/bp-a150-afib (accessed on December 12, 2022).