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Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Druckformat: 0278-940X
ISSN Online: 1943-619X

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Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2019026539
pages 141-151

Non-Contact Type Pulse Oximeter

Anirudh Nandakumar Joshi
School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, United States
Amy L. Nystrom
School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, United States
Jeffrey T. La Belle
School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona

ABSTRAKT

Heart rate and through-body blood perfusion are vital measurements in all stages of patient care, be it predictive, in the clinical setting, or outpatient monitoring. Irregular, underachieving, or overperforming heart rate is the main precursor of most cardiovascular diseases that have severe long-term complications. In addition to heart rate, the shape of the pulse waveforms can indicate the heart's valve health and electrophysiology health. The goal of the study was to design a noninvasive device for continuously measuring a patient's heart rate with clinical-grade accuracy along with the ability to indicate pulse waveforms for the patient and physician. An accurate, easy-to-use heart-rate measuring device prototype was developed that did not require the sensor to have direct skin contact to obtain measurements. The statistical analysis of the data gathered by the prototype compared to the data collected from the industry standard device indicated significant correlation. The two-sample T-test for the data recorded from the prototype and the data collected from the industry commercially available pulse oximeter showed a P-value of 0.521, which indicates that there was no significant difference between the prototype and the commercially available pulse oximeter when measuring heart rate.

REFERENZEN

  1. Vise S. , Projections of cardiovascular disease prevalence and costs: 2015–2035 (2017) [Internet]. Health Metrics. [cited 2019 Jan 14]. Available from: https:// healthmetrics.heart.org/projections-of-cardiovascular- disease/.

  2. Mosterd A, Hoes AW. , Clinical epidemiology of heart failure. Heart Br Card Soc. 2007 Sep;93(9):1137–46. PMCID: PMC1955040.

  3. Deo M, Weinberg SH, Boyle PM, Calcium dynamics and cardiac arrhythmia. Clin Med Insights Cardiol [Internet]. 2017 Dec 3 [cited 2019 Jan 14];11. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC5718302/ PMCID: PMC5718302.

  4. Chatterjee A, Aceves A, Dungca R, Flores H, Giddens K. , Classification of wearable computing: a survey of electronic assistive technology and future design. 2016 Second Int Conf Res Comput Intell Commun Netw ICRCICN. 2016. p. 22–27.

  5. Nolan J, Batin PD, Andrews R, Lindsay SJ, Brooksby P, Mullen M, Baig W, Flapan AD, Cowley A, Prescott RJ, Neilson JM, Fox KA., Prospective study of heart rate variability and mortality in chronic heart failure: results of the United Kingdom heart failure evaluation and assessment of risk trial (UK-heart). Circulation. 1998 Oct 13;98(15):1510–16. PMID: 9769304.

  6. Haynes JM. , The ear as an alternative site for a pulse oximeter finger clip sensor. Respir Care. 2007 Jun;52(6):727– 29. PMID: 17521462.

  7. 6 insurance companies investing in wearable technology [Internet]. [cited 2019 Jan 14]. Available from: https://www.techzone360.com/topics/techzone/articles/ 2016/06/27/422510-6-insurance-companies-investing- wearable-technology.htm.

  8. Jia Z, Bonde A, Li S, Xu C, Wang J, Zhang Y, Howard RE, Zhang P., Monitoring a Person’s Heart Rate and Respiratory Rate on a Shared Bed Using Geophones. In: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems 2017 Nov 6 (p. 6). ACM.

  9. Geophone - SM-24 - SEN-11744 - SparkFun Electronics [Internet]. [cited 2019 Jan 14]. Available from: https:// www.sparkfun.com/products/11744.

  10. Watanabe T, Watanabe K. , Noncontact method for sleep stage estimation. IEEE Trans Biomed Eng. 2004 Oct; 51(10): 1735–48. PMID: 15490821.

  11. Narkiewicz K, Montano N, Cogliati C, van de Borne PJ, Dyken ME, Somers VK, Altered cardiovascular variability in obstructive sleep apnea. Circulation. 1998 Sep 15; 98(11): 1071–77. PMID: 9736593.

  12. Kleiger RE, Miller JP, Bigger JT, Moss AJ., Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol. 1987 Feb 1;59(4):256–62. PMID: 3812275.

  13. Apps MC, Sheaff PC, Ingram DA, Kennard C, Empey DW., Respiration and sleep in Parkinson’s disease. J Neurol Neurosurg Psychiatry. 1985 Dec;48(12):1240–45. PMCID: PMC1028608.

  14. Fletcher R, Han J. , Low-cost differential front-end for Doppler radar vital sign monitoring. 2009 IEEE MTTInt Microw Symp Dig. 2009. p. 1325–1328.

  15. Heart rate monitor using 8051 microcontroller.measures the heart rate from finger tip [Internet]. Electronic Circuits and Diagrams-Electronic Projects and Design. 2013 [cited 2019 Jan 14]. http://www.circuitstoday. com/heart-rate-monitor-using-8051.


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