List of subject from MIMIC II/III - A machine learning approach for non-invasive blood pressure

List of subject from MIMIC

Table A.1 – continued from previous page Subject ID

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[1] "Wearable Technology Market by Device (Smart watch, fitness wellness devices, Smart glasses, Smart clothing), by Product type (Wrist wear, eyewear, hearables, neckwear, bodywear) and Geography," Global Opportunity Analysis and Industry Forecast, 2014-2022.

[2] Wilmore JH and Costill DL. (2005) Physiology of Sport and Exercise: 3rd Edition. - Champaign, IL: Human Kinetics

[3] Cambridge Dictionary.

https://dictionary.cambridge.org/dictionary/english/wearable

[4] Ecco come una app per il fitness può rivelare basi americane e percorsi dei soldati USA:

https://www.lastampa.it/esteri/2018/01/30/news/ecco-come-un-app-per-il-fitness-puo-rivelare-basi-militari-e-percorsi-dei-soldati-usa-1.33973562

[5] Gloria Martínez, Newton Howard, Derek Abbott, Kenneth Lim, Rabab Ward and Mohamed Elgendi, "Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?," School of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada;

[6] Shivayogi Hiremath, Geng Yang, Kunal Mankodiya, Wearable Internet of Things: Concept, Architectural Components and Promises for Person-Centered Healthcare - January 2014

[7] D. Girola Cardiologia fitness - Alea, 1999 [8] Mammalian heart and blood vessels.

https://courses.lumenlearning.com/os-biology/chapter/mammalian-heart-and-blood-vessels/

[9] How does the blood circulatory system work?

https://www.ncbi.nlm.nih.gov/books/NBK279250/?report=classic [10] C. L. Stanfield - Fisiologia

[11] MIMIC database: https://mimic.physionet.org [12] Shimmer user guide

http://www.shimmersensing.com/support/wireless-sensor-networks-documentation/

[13] What is blood pressure and how is it measured?

https://www.ncbi.nlm.nih.gov/books/NBK279251/

[14] Agnieszka Gorczewska, "Influence of sensor design and optical properties of tissue on the photoplethysmographic signal," Gdansk University of Technology, Department of Biomedical Engineering, 11/12 Gabriela Narutowicza Street, 80-233 Gdansk-Wrzeszcz, Poland

[15] Zanichelli, Scienze integrate. Franco Lucisano Editore, 2010 [16] Arterial blood pressure.

https://www.cvphysiology.com/Blood%20Pressure/BP002 [17] P. Salvi, Onde di polso. Springer, 2012.

[18] Arterial and aortic pulse pressure.

https://www.cvphysiology.com/Blood0Pressure/BP003.htm

[19] John Allen, "Photoplethysmography and its application in clinical physiolog-ical measurement", Regional Medphysiolog-ical Physics Department, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK

[20] M. J. Hayes, Peter R. Smith, “Artefact reduction in photoplethysmography,”

Appl. Opt. 37, 7437-7446 (1998).

[21] R. Gonzalez, A. Manzo, J. Delgado, J. Padilla, B. Trénor, and J. Saiz, “A computer based photoplethysmographic vascular analyzer through derivatives,”

in 2008 Computers in Cardiology. IEEE, 2008, pp. 177–180.

[22] V. Jadav and H. Sitapra, “A novel approach for designing of pulse transit time measurement device for physiological applications,” J. Inf, vol. 2, pp. 779–782,

2013.

[23] Non-invasive methods BP measure.

https://www.researchgate.net/figure/Non-invasive-blood-pressure-monitoring-techniquesfig1322314441

[24] D. McDuff, S. Gontarek, and R. W. Picard, “Remote detection of photo-plethysmographic systolic and diastolic peaks using a digital camera,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 12, pp. 2948–2954, 2014.

[25] Understanding Blood Pressure Readings.

https://www.heart.org/en/health-topics/high-blood-pressure/understanding-blood-pressure-readings

[26] G. Joseph, A. Joseph, G. Titus, R. M. Thomas, and D. Jose, “Photo-plethysmogram (ppg) signal analysis and wavelet de-noising,” in 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/ iCMMD). IEEE, 2014, pp. 1–5.

[27] J. L. Moraes, M. X. Rocha, G. G. Vasconcelos, J. E. Vasconcelos Filho, V. H.

C. De Albuquerque, and A. R. Alexandria, “Advances in photopletysmography signal analysis for biomedical applications,” Sensors, vol. 18, no. 6, p. 1894, 2018.

[28] S. Laurent, J. Cockcroft, L. Van Bortel, P. Boutouyrie, C. Giannattasio, D.

Hayoz, B. Pannier, C. Vlachopoulos, I. Wilkinson, and H. Struijker-Boudier,

“Expert consensus document on arterial stiffness: methodological issues and clinical applications,” European heart journal, vol. 27, no. 21, pp. 2588–2605, 2006.

[29] G. Fortino and V. Giampà, “Ppg-based methods for non invasive and continuous blood pressure measurement: an overview and development issues in body sensor networks,” in 2010 IEEE International Workshop on Medical Measurements and Applications. IEEE, 2010, pp. 10–13.

[30] D. Sahu and M. Bhaskaran, “Palpatory method of measuring diastolic blood pressure,” Journal of anaesthesiology, clinical pharmacology, vol. 26, no. 4, p.

528, 2010.

[31] L. Pilotto, “Percorso diagnostico dei pazienti ipertesi. misurazione della pressione arteriosa: metodi e strumenti,” Ital Heart J, vol. 1, no. 5, pp. 32–35, 2000.

[32] T. Sato, M. Nishinaga, A. Kawamoto, T. Ozawa, and H. Takatsuji, “Accuracy of a continuous blood pressure monitor based on arterial tonometry.” Hyper-tension, vol. 21, no. 6pt1, pp. 866–874, 1993.

[33] M. Sharma, K. Barbosa, V. Ho, D. Griggs, T. Ghirmai, S. K. Krishnan, T.

K. Hsiai, J.-C. Chiao, and H. Cao, “Cuff-less and continuous blood pressure monitoring: a methodological review,” Technologies, vol. 5, no. 2, p. 21, 2017.

[34] M. Gao, N. B. Olivier, and R. Mukkamala, “Comparison of noninvasive pulse transit time estimates as markers of blood pressure using invasive pulse transit time measurements as a reference,” Physiological reports, vol. 4, no. 10, p.

e12768, 2016.

[35] J. L. Moraes, M. X. Rocha, G. G. Vasconcelos, J. E. Vasconcelos Filho, V. H.

C. De Albuquerque, and A. R. Alexandria, “Advances in photopletysmography signal analysis for biomedical applications,” Sensors, vol. 18, no. 6, p. 1894, 2018.

[36] Paola A. Lanfranchi and Virend K. Somers, “Cardiovascular Physiology: Au-tonomic Control in Health and in Sleep Disorders,” Cardiovascular Physiology:

Autonomic Control in Health and in Sleep Disorders, Chapter 20.

[37] Shouping Wang, Jia Liu, Pandeng Zhang, Xiaodan Yang, Lu Huang, "Digital Control Method of Volume Clamp Method," International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC 2015) [38] X.F. Teng and Y.T. Zhang. “Continuous and noninvasive estimation of arterial

blood pressure using a photoplethysmographic approach”. In: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) 4 (2003), pp. 3153– 3156. issn:

1094-687X. doi: 10.1109/IEMBS.2003.1280811.

[39] BP Pro. http://www.bpro.ie

[40] Mohammad Kachuee, Mohammad Mahdi Kiani, Hoda Mohammadzade and Mahdi Shabany, “Cuffless Blood Pressure Estimation Algorithms for Contin-uous Health-Care Monitoring,” IEEE transactions on biomedical engineering, VOL. 64, NO. 4, April 2017.

[41] R. Mukkamala et al., “Toward ubiquitous blood pressure monitoring via pulse transit time: Theory and practice,” IEEE Trans. Biomed. Eng., vol. 62, no. 8,

pp. 1879–1901, Aug. 2015.

[42] M. Moghadam and M. H. Moradi, “Model based blood pressure estimation during exercise test using modified fuzzy function,” in Proc. 21st Iranian Conf.

Biomed. Eng., 2014, pp. 69–73.

[43] Iman Sharifia, Sobhan Goudarzib, Mohammad Bagher Khodabakhshic, “A novel dynamical approach in continuous cuffless blood pressure estimation based on ECG and PPG signals,” Artificial Intelligence In Medicine, 97 (2019) 143–151.

[44] Chen W, Kobayashi T, Ichikawa S, Takeuchi Y, Togawa T., "Continuous esti-mation of systolic blood pressure using the pulse arrival time and intermittent calibration". Med Biol Eng Comput 2000;38(5): 569–74.

[45] Poon C, Zhang Y., Cuff-less and noninvasive measurements of arterial blood pressure by pulse transit time. Engineering in Medicine and Biology Society, 2005. IEEEEMBS 2005. 27th Annual International Conference of the 2006:5877–80.

[46] Geddes L, Voelz M, James S, Reiner D., Pulse arrival time as a method of obtaining systolic and diastolic blood pressure indirectly. Med Biol Eng Computì 1981;19(5):671–2.

[47] George Wypych, Photophysics, in Handbook of Material Weathering (Sixth Edition), 2018.

[48] D Nair, S-Y Tan, H-W Gan, S-F Lim, J Tan, M Zhu, H Gao, N-H Chua, W-L Peh and K-H Mak, "The use of ambulatory tonometric radial arterial wave capture to measure ambulatory blood pressure: the validation of a novel wrist-bound device in adults," Journal of Human Hypertension (2008) 22, 220–222; doi:10.1038/sj.jhh.1002306; published online 8 November 2007.

[49] R. Wang, W. Jia, Z.-H. Mao, R. J. Sclabassi, and M. Sun, “Cuff-free blood pressure estimation using pulse transit time and heart rate,” in 2014 12th international conference on signal processing (ICSP). IEEE, 2014, pp. 115–118.

[50] History of the Sphygmomanometer https://www.adctoday.com/learning-center/about-sphygmomanometers/history-sphygmomanometer.

[51] Mercury based sphygmomanometer.

https://www.my-personaltrainer.it/benessere/sfigmomanometro.html

[52] Oscillometric BP devices.

https://pdfserv.maximintegrated.com/en/an/AN4689.pdf [53] HeartGuide.

https://omronhealthcare.com/products/heartguide-wearable-blood-pressure-monitor-bp8000m/

[54] S. i Carós and J. Maria, “Continuous non-invasive blood pressure estimation,”

Ph.D. dissertation, ETH Zurich, 2011.

[55] C. M. Ehrenfeld J., Noninvasive Arterial Pressure Monitoring. Springer, 2014.

[56] Grzegorz Bilo, Cristina Zorzi, Juan E. Ochoa Munera, Camilla Torlasco, Valentina Giuli and Gianfranco Parati, "Validation of the Somnotouch-NIBP noninvasive continuous blood pressure monitor according to the European Society of Hypertension International Protocol revision 2010," Journal Blood Pressure Monitoring, 2015, 20:291-294

[57] R. Asmar, “Pression artérielle. régulation et épidémiologie. mesures et valeurs normales,” Néphrologie thérapeutique, vol. 3, no. 4, pp. 163–184, 2007.

[58] Guang Zhang, Chengyu Liu, Lizhen Ji, Jing Yang and Changchun Liu, "Effect of a Percutaneous Coronary Intervention Procedure on Heart Rate Variability and Pulse Transit Time Variability: A Comparison Study Based on Fuzzy Measure Entropy," Entropy 2016, 18, 246; doi:10.3390/e18070246

[60] Cong Yan, Zhenqi Li, Wei Zhao, Jing Hu, Dongya Jia, Hongmei Wang and Tianyuan You, "Novel Deep Convolutional Neural Network for Cuff-less Blood Pressure Measurement Using ECG and PPG Signals," 978-1-5386-1311-5/19/$31.00 ©2019 IEEE

[61] Physionet portal.

https: //physionet.org/about/physionet

[62] MIMIC-III, a freely accessible critical care database. Johnson AEW, Pollard TJ, Shen L, Lehman L, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA, and Mark RG. Scientific Data (2016). DOI: 10.1038/sdata.2016.35. Available

at: http://www.nature.com/articles/sdata201635

[63] Xiao-Rong Ding,Yuan-Ting Zhan, "Photoplethysmogram Intensity Ratio: A Potential Indicator for Improving the Accuracy of PTT-Based Cuffless Blood Pressure Estimation," 978-1-4244-9270-1/15/$31.00 ©2015 IEEE

[64] Mohamed Elgendi. “On the Analysis of Fingertip Photoplethysmogram Signals”. In: Current Cardiology Reviews 8.1 (2012), pp. 14–25. issn: 1573403X.

doi: 10.2174/157340312801215782.

[65] M. Y. Rudenko, O. K. Voronova, and V. A. Zernov, “Ecg periodic table: a new ecg classification based on heart cycle phase analysis,” Cardiometry, no. 2, p. 19, 2013.

[66] Laxmi Shaw, Sangeeta Bhaga, " Online EMG Signal Analysis for diagnosis of Neuromuscular diseases by using PCA and PNN," International Journal of Engineering Science and Technology (IJEST), Vol. 4 No.10 October 2012 [67] S. Vandeput, “Heart rate variability: linear and nonlinear analysis with

applications in human physiology,” 2010.

[68] M. Elgendi, “On the analysis of fingertip photoplethysmogram signals,”

Current cardiology reviews, vol. 8, no. 1, pp. 14–25, 2012.

[70] Yongbo Liang, Mohamed Elgendi, Zhencheng Chen Rabab Ward, "Analysis:

An optimal filter for short photoplethysmogram signals," Scientific Data, 5:180076, DOI: 10.1038/sdata.2018.76

[71] L. Mesin, Introduction to biomedical signal processing

[72] Aifeng Ren, Zhenxing Du, Juan Li, Fangming Hu, Xiaodong Yang, and Haider Abbas, "Adaptive Interference Cancellation of ECG Signals," Sensors (Basel).

2017 May; 17(5): 942.

[73] R. Lazazzera, Y. Belhaj and and G. Carrault, "A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram," Sensors (Basel). 2019 Jun; 19(11): 2557.

[74] Xiaorong Ding, Bryan P. Yan, Yuan-Ting Zhang, Jing Liu, Ni Zhao Hon Ki Tsang, "Pulse Transit Time Based Continuous Cuffless Blood Pressure Estimation: A New Extension and A Comprehensive Evaluation," Scientific Reports 7: 11554 DOI:10.1038/s41598-017-11507-3

[75] D. Martinez, Arthur Edwards-Block, Andrés Felipe Murillo, "Wireless Sensor Networks for Ambient Assisted Living," Sensors 2013, 13, 16384-16405;

doi:10.3390/s131216384

[76] J. Kameenoff, “Signal processing techniques for removing noise from ecg signals,” Biomedical Engineering and Research, vol. 1, no. 1, p. 1, 2017.

[77] V. Prabhu, P. G. Kuppusamy, A. Karthikeyan M. Sucharitha, "A novel approach for non-invasive measurement of mean arterial pressure using pulse transit time," Multimed Tools Appl 79, 3775–3789 (2020).

https://doi.org/10.1007/s11042-018-6971-8 [78] Why Feature Correlation Matters . . . . A Lot!

https://towardsdatascience.com/why-feature-correlation-matters-a-lot-847e8ba439c4

[79] Positive and Negative Correlation.

https://fisherdong.wordpress.com/2011/03/25/positive-and-negative-correlation/

[80] Random Forest.

Regression:https://towardsdatascience.com/random-forest-and-its-implementation-71824ced454f

[81] Fundamentals of Regression Analysis.

https://www.analyticsvidhya.com/blog/2015/08/comprehensive-guide-regression/

[82] Mean Square Error.

https://en.wikipedia.org/wiki/Meansquarederror#Predictor

[83] Inge S. Helland, "On the Interpretation and Use of R² in Regression Analysis,"

Biometrics, Vol. 43, No. 1 (Mar., 1987), pp. 61-69

[84] K-Fold Cross Validation: https://medium.com/datadriveninvestor/k-fold-cross-validation-6b8518070833

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