English Polski
Vol 25, No 1 (2019)
Articles
Published online: 2019-02-11

open access

Page views 1915
Article views/downloads 1286
Get Citation

Connect on Social Media

Connect on Social Media

The latest applications of photoplethysmography

Maciej Kozioł1, Piotr Piech1, Marcin Maciejewski2, Wojciech Surtel2
Acta Angiologica 2019;25(1):28-34.

Abstract

The development of medicine and the ability to conduct effective therapy in increasingly severe cases create
the need to develop new methods of continuous and non-invasive monitoring of the patient’s condition. One of
the techniques that is widely used in many fields of medicine is photoplethysmography (PPG). The analysis of
the latest research indicates that PPG can have much more applications than the measurement of heart rate
and arterial saturation of the patient — as shown by the latest research, it can be used in the measurement
of many other key parameters.
The optimism is the multitude of areas in which PPG monitoring is attempted. There are more and more attempts
to use photoplethysmography in diagnosis and evaluation of peripheral vascular diseases, assessment of
circulation in diabetic patients and assessment of endothelial function. Authors are focusing on new applications
of PPG, its advantages and limitations. Most of them agree that PPG can provide useful knowledge about the
patient’s condition while being a quick, easy-to-use and cost-effective technique.
The following review was created to critically analyze the latest technical developments and uses of PPG in
clinical practice. Sources for the following article were found using the PubMed database using keywords such
as “photoplethysmography”, “oxygen saturation” and “pulse oximeter”.

Article available in PDF format

View PDF Download PDF file

References

  1. Thiele RH, Tucker-Schwartz JM, Lu Y, et al. Transcutaneous regional venous oximetry: a feasibility study. Anesth Analg. 2011; 112(6): 1353–1357.
  2. Talke P, Stapelfeldt C. Effect of peripheral vasoconstriction on pulse oximetry. J Clin Monit Comput. 2006; 20(5): 305–309.
  3. Ishihara H, Sugo Y, Tsutsui M, et al. The ability of a new continuous cardiac output monitor to measure trends in cardiac output following implementation of a patient information calibration and an automated exclusion algorithm. J Clin Monit Comput. 2012; 26(6): 465–471.
  4. Ball TR, Tricinella AP, Kimbrough BA, et al. Accuracy of noninvasive estimated continuous cardiac output (esCCO) compared to thermodilution cardiac output: a pilot study in cardiac patients. J Cardiothorac Vasc Anesth. 2013; 27(6): 1128–1132.
  5. Alian AA, Shelley KH. Photoplethysmography. Best Pract Res Clin Anaesthesiol. 2014; 28(4): 395–406.
  6. Mannheimer PD. The light-tissue interaction of pulse oximetry. Anesth Analg. 2007; 105(6 Suppl): S10–S17.
  7. Kim JM, Arakawa K, Benson K, et al. Pulse oximetry and circulatory kinetics associated with pulse volume amplitude measured by photoelectric plethysmography. Anesthesia & Analgesia. 1986; 65(12): 1333???1339.
  8. Moraes JL, Rocha MX, Vasconcelos GG, et al. Advances in photopletysmography signal analysis for biomedical applications. Sensors (Basel). 2018; 18(6).
  9. Bhattacharya J, Kanjilal PP, Muralidhar V. Analysis and characterization of photo-plethysmographic signal. IEEE Trans Biomed Eng. 2001; 48(1): 5–11.
  10. Gubbi SV, Amrutur B. Adaptive pulse width control and sampling for low power pulse oximetry. IEEE Trans Biomed Circuits Syst. 2015; 9(2): 272–283.
  11. Lee H, Chung H, Ko H, et al. Wearable multichannel photoplethysmography framework for heart rate monitoring during intensive exercise. IEEE Sensors Journal. 2018; 18(7): 2983–2993.
  12. Zhao D, Sun Yu, Wan S, et al. SFST: A robust framework for heart rate monitoring from photoplethysmography signals during physical activities. Biomedical Signal Processing and Control. 2017; 33: 316–324.
  13. Tremper K, Barker S. Pulse oximetry. Anesthesiology. 1989; 70(1): 98–108.
  14. Bartels K, Thiele RH. Advances in photoplethysmography: beyond arterial oxygen saturation. Can J Anaesth. 2015; 62(12): 1313–1328.
  15. Bentham M, Stansby G, Allen J. Innovative multi-site photoplethysmography analysis for quantifying pulse amplitude and timing variability characteristics in peripheral arterial disease. Diseases. 2018; 6(3).
  16. Norgren L, Hiatt WR, Dormandy JA, et al. TASC II Working Group. Inter-society consensus for the management of peripheral arterial disease (TASC II). J Vasc Surg. 2007; 45 Suppl S: S5–67.
  17. Burns P, Gough S, Bradbury AW. Management of peripheral arterial disease in primary care. BMJ. 2003; 326(7389): 584–588.
  18. Hennion DR, Siano KA. Diagnosis and treatment of peripheral arterial disease. Am Fam Physician. 2013; 88(5): 306–310.
  19. Wilkes S, Stansby G, Sims A, et al. Peripheral arterial disease: diagnostic challenges and how photoplethysmography may help. Br J Gen Pract. 2015; 65(635): 323–324.
  20. Hodnett PA, Koktzoglou I, Davarpanah AH, et al. Evaluation of peripheral arterial disease with nonenhanced quiescent-interval single-shot MR angiography. Radiology. 2011; 260(1): 282–293.
  21. Pollak AW, Norton PT, Kramer CM. Multimodality imaging of lower extremity peripheral arterial disease: current role and future directions. Circ Cardiovasc Imaging. 2012; 5(6): 797–807.
  22. Lazaro J, Bailon R, Laguna P, et al. Difference in pulse arrival time at forehead and at finger as a surrogate of pulse transit time. 2016 Computing in Cardiology Conference (CinC). 2016; 43: 269–272.
  23. Høyer C, Nielsen NS, Jordansen MK, et al. Comparison of two methods based on photoplethysmography for the diagnosis of peripheral arterial disease. Scand J Clin Lab Invest. 2017; 77(8): 622–627.
  24. Stefanovska A. Physics of the human cardiovascular system. Contemporary Physics. 2010; 40(1): 31–55.
  25. Novo S, Coppola G, Milio G. Critical limb ischemia: definition and natural history. Curr Drug Targets Cardiovasc Haematol Disord. 2004; 4(3): 219–225.
  26. Pan X, You C, Chen G, et al. Skin perfusion pressure for the prediction of wound healing in critical limb ischemia: a meta-analysis. Arch Med Sci. 2018; 14(3): 481–487.
  27. Yamada T, Ohta T, Ishibashi H, et al. Clinical reliability and utility of skin perfusion pressure measurement in ischemic limbs--comparison with other noninvasive diagnostic methods. J Vasc Surg. 2008; 47(2): 318–323.
  28. Holstein P, Nielsen PE, Lund P, et al. Skin perfusion pressure on the legs measured as the external pressure required for skin reddening after blanching: a photo-electric technique compared to isotope washout. Scand J Clin Lab Invest. 1980; 40(6): 535–543.
  29. Malvezzi L, Castronuovo J, Swayne L, et al. The correlation between three methods of skin perfusion pressure measurement: Radionuclide washout, laser Doppler flow, and photoplethysmography. Journal of Vascular Surgery. 1992; 15(5): 823–830.
  30. Sullivan T. Basic data underlying clinical decision making in endovascular therapy. Annals of Vascular Surgery. 2009; 23(5): 553.
  31. Sharif-Kashani B, Behzadnia N, Shahabi P, et al. Screening for deep vein thrombosis in asymptomatic high-risk patients: a comparison between digital photoplethysmography and venous ultrasonography. Angiology. 2009; 60(3): 301–307.
  32. Ho WK, Hankey GJ, Lee CH, et al. Venous thromboembolism: diagnosis and management of deep venous thrombosis. Med J Aust. 2005; 182(9): 476–481.
  33. Sissons GR. Investigation of suspected lower limb venous thrombosis. Ann R Coll Surg Engl. 1998; 80(1): 49–54.
  34. Ruangsetakit C, Nuntiwattana N, Hahtapornsawan S, et al. Digital photoplethysmography in the diagnosis of deep vein thrombosis in Thai patients. J Med Assoc Thai . 2017; 100(Suppl.): S155–S161.
  35. Abu-Halimah S, Marston W. Plethysmographic techniques in the diagnosis of venous disease. Noninvasive Vascular Diagnosis. 2017: 525–533.
  36. Calamanti C, Cenci A, Bernardini M, et al. A clinical decision support system for chronic venous insufficiency. Volume 9: 13th ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. 2017.
  37. Vaidya V, Gangan N, Sheehan J. Impact of cardiovascular complications among patients with Type 2 diabetes mellitus: a systematic review. Expert Rev Pharmacoecon Outcomes Res. 2015; 15(3): 487–497.
  38. Korhonen I, Yli-Hankala A. Photoplethysmography and nociception. Acta Anaesthesiol Scand. 2009; 53(8): 975–985.
  39. Hsu PC, Wu HT, Sun CK. Assessment of subtle changes in diabetes-associated arteriosclerosis using photoplethysmographic pulse wave from index finger. J Med Syst. 2018; 42(3): 43.
  40. Lin GM, Haryadi B, Yang CM, et al. Discrepancies between conventional multiscale entropy and modified short-time multiscale Entropy of Photoplethysmographic pulse signals in middle- and old-aged individuals with or without diabetes. Entropy. 2017; 19(3): 132.
  41. Roth GA, Nguyen G, Forouzanfar MH, et al. Estimates of global and regional premature cardiovascular mortality in 2025. Circulation. 2015; 132(13): 1270–1282.
  42. Bonetti PO, Lerman LO, Lerman A. Endothelial dysfunction: a marker of atherosclerotic risk. Arterioscler Thromb Vasc Biol. 2003; 23(2): 168–175.
  43. Mozaffarian D, Benjamin EJ, Go AS, et al. Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation. 2016; 133(4): e38–360.
  44. Matsuzawa Y, Lerman A. Endothelial dysfunction and coronary artery disease: assessment, prognosis, and treatment. Coron Artery Dis. 2014; 25(8): 713–724.
  45. Corretti MC, Anderson TJ, Benjamin EJ, et al. International Brachial Artery Reactivity Task Force. Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery: a report of the International Brachial Artery Reactivity Task Force. J Am Coll Cardiol. 2002; 39(2): 257–265.
  46. Zakaria H, Mengko T. Changes of Arterial stiffness during flow-mediated dilation procedure. 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). 2015.
  47. Si D, Ni L, Wang Y, et al. A new method for the assessment of endothelial function with peripheral arterial volume. BMC Cardiovasc Disord. 2018; 18(1): 81.
  48. Wu HT, Lin BY, Yang CC, et al. Assessment of vascular health with photoplethysmographic waveforms from the fingertip. IEEE J Biomed Health Inform. 2017; 21(2): 382–386.