Combined photoplethysmographic monitoring of respiration rate and pulse: A comparison between different measurement sites in spontaneously breathing subjects
Abstract
BACKGROUND: The non-invasive photoplethysmographic (PPG) signal reflects blood flow and volume in a tissue. The PPG signal shows variation synchronous with heartbeat (PPGc), as used in pulse oximetry, and variations synchronous with breathing (PPGr). PPGr has been used for non-invasive monitoring of respiration with promising results. Our aim was to investigate PPG signals recorded from different skin sites in order to find suitable locations for parallel monitoring of variations synchronous with heartbeat and breathing. METHODS: PPG sensors were applied to the forearm, finger, forehead, wrist and shoulder on 48 awake healthy volunteers. From these sites, seven PPG signals were simultaneously recorded during normal spontaneous breathing over 10 min. Capnometry served as respiration and electrocardiogram (ECG) as pulse reference signals. PPG signals were compared with respect to power spectral content and squared coherence. RESULTS: Forearm PPG measurement showed significantly higher power within the respiratory region of the power spectrum [median (quartile range) 42 (26)%], but significantly lower power within the cardiac region [9 (10)%] compared with the other skin sites. PPG finger measurement showed the opposite; in transmission mode, the power within the respiratory region was significantly lower [4 (10)%] and within the cardiac region significantly higher [45 (25)%] than the other sites. PPGc coherence values were generally high [>0.96 (0.08)], and PPGr coherence values lower [0.83 (0.35)-0.94 (0.17)]. CONCLUSION: Combined PPG respiration and pulse monitoring is possible, but there are significant differences between the respiratory and cardiac components of the PPG signal at different sites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Venous pressure can add low-frequency noise to the PPG waveform, often between 0 and 0.5 Hz, contributing to baseline oscillations.
“Venous pressure can also add low-frequency noise to the PPG waveform, the same effects seen by respiration, which is caused by venous anatomy [129,130,131]. Often between 0 and 0.5 Hz, this noise contributes to be baseline oscillations.”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [130]
The forearm had a high respiratory rate spectral power content compared to anatomies such as the finger, which had signal primarily derived from heart rate.
“It was found that the forearm had a high respiratory rate spectral power content compared to anatomies such as the finger, which had signal primarily derived from heart rate [130].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [130]
Cites
Randomized Evaluation of Pulse Oximetry in 20,802 Patients; II
Møller, J. T., JOHANNESSEN, N. W., Espersen, K., et al. (1993) · Anesthesiology · doi:10.1097/00000542-199303000-00007 · Cited by 444 · see citing works
Tremper, K. K., & Barker, S. J. (1989) · Anesthesiology · doi:10.1097/00000542-198901000-00019 · Cited by 438 · see citing works
Critical review of non-invasive respiratory monitoring in medical care
Folke, M., Cernerud, L., Ekström, M., & Hök, B. (2003) · Medical & Biological Engineering & Computing · doi:10.1007/bf02348078 · Cited by 430 · see citing works
Skin photoplethysmography — a review
Kamal, A. A. R., Harness, J. B., Irving, G., & Mearns, A. J. (1989) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(89)90159-4 · Cited by 328 · see citing works
Wieringa, F. P., Mastik, F., & van der Steen, A. F. W. (2005) · Annals of Biomedical Engineering · doi:10.1007/s10439-005-5763-2 · Cited by 284 · see citing works
Noninvasive pulse oximetry utilizing skin reflectance photoplethysmography
Mendelson, Y., & Ochs, B. D. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.7286 · Cited by 251 · see citing works
Nakajima, K., TAMURA, T., & Miike, H. (1996) · Medical Engineering & Physics · doi:10.1016/1350-4533(95)00066-6 · Cited by 244 · see citing works
Basal perfusion of the cutaneous microcirculation: Measurements as a function of anatomic position
Tur, E., Tur, M., Maibach, H. I., & Guy, R. H. (1983) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12522619 · Cited by 163 · see citing works
Monitoring of respiratory rate in postoperative care using a new photoplethysmographic technique
Nilsson, L. M., Johansson, A., & Kálmán, S. (2000) · Journal of Clinical Monitoring and Computing · doi:10.1023/a:1011424732717 · Cited by 157 · see citing works
Self-citationAutonomic Control of Skin Microvessels: Assessment by Power Spectrum of Photoplethysmographic Waves
Bernardi, L., Radaelli, A., Soldà, P. L., Coats, A. J. S., REEDER, M. K., Calciati, A., Garrard, C. S., & Sleight, P. (1996) · Clinical Science · doi:10.1042/cs0900345 · Cited by 146 · see citing works
Lossius, K., Eriksen, M., & Walløe, L. (1993) · The Journal of Physiology · doi:10.1113/jphysiol.1993.sp019491 · Cited by 134 · see citing works
What Is the Best Site for Measuring the Effect of Ventilation on the Pulse Oximeter Waveform?
Shelley, K. H., Jablonka, D. H., Alian, A. A., Stout, R. G., Rezkanna, H., & Silverman, D. G. (2006) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000222477.67637.17 · Cited by 99 · see citing works
A search for arteriovenous anastomoses in human skin using ultrasound Doppler
Bergersen, T. K. (1993) · Acta Physiologica Scandinavica · doi:10.1111/j.1748-1716.1993.tb09489.x · Cited by 97 · see citing works
Johansson, A., Öberg, P. Å., & Sedin, G. (1999) · Journal of Clinical Monitoring and Computing · doi:10.1023/a:1009912831366 · Cited by 91 · see citing works
Self-citationPulse oximetry in the oesophagus
Kyriacou, P. A. (2005) · Physiological Measurement · doi:10.1088/0967-3334/27/1/r01 · Cited by 91 · see citing works
Sandberg, M., Zhang, Q., STYF, J. R., Gerdle, B. U. C., & Lindberg, L. (2005) · Acta Physiologica Scandinavica · doi:10.1111/j.1365-201x.2005.01412.x · Cited by 91 · see citing works
Self-citationShelley, K. H., Alian, A. A., Stout, R. G., & Silverman, D. G. (2006) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-006-9010-7 · Cited by 86 · see citing works
Nilsson, L. M., Johansson, A., & Kálmán, S. (2005) · Acta Anaesthesiologica Scandinavica · doi:10.1111/j.1399-6576.2005.00721.x · Cited by 78 · see citing works
Self-citationAn Algorithm for the Detection of Individual Breaths from the Pulse Oximeter Waveform
Leonard, P. A., Grubb, N. R., Addison, P. S., et al. (2004) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-005-2697-z · Cited by 68 · see citing works
Influence of Sensor Site Location on Pulse Oximetry Kinetics in Children
Reynolds, L. M., Nicolson, S. C., Steven, J. M., Escobar, A., McGonigle, M. E., & Jobes, D. R. (1993) · Anesthesia & Analgesia · doi:10.1213/00000539-199304000-00011 · Cited by 31 · see citing works
Photoplethysmography for simultaneous recording of heart and respiratory rates in newborn infants
Olsson, E., Ugnell, H., Öberg, P. Å., & Sedin, G. (2000) · Acta Paediatrica · doi:10.1080/080352500750043774 · Cited by 31 · see citing works
Pulse total-hemoglobinometer provides accurate noninvasive monitoring
Noiri, E., Kobayashi, N., Takamura, Y., et al. (2005) · Critical Care Medicine · doi:10.1097/01.ccm.0000190430.96750.51 · Cited by 29 · see citing works
Automatic Ankle Pressure Measurements Using PPG in Ankle-brachial Pressure Index Determination
Jönsson, B., Laurent, C., Eneling, M., Skau, T., & Lindberg, L.-G. (2005) · European Journal of Vascular and Endovascular Surgery · doi:10.1016/j.ejvs.2005.05.012 · Cited by 29 · see citing works
Self-citationAge and gender do not influence the ability to detect respiration by photoplethysmography
Nilsson, L., Goscinski, T., Johansson, A., Lindberg, L.-G., & Kalman, S. (2006) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-006-9050-z · Cited by 26 · see citing works
The effect of pulsating arteries on reflectance pulse oximetry: Measurements in adults and neonates
Nijland, R., Jongsma, W., van den Berg, P. P., et al. (1995) · The Journal of Clinical Monitoring · doi:10.1007/bf01617733 · Cited by 24 · see citing works
Effect of location of the sensor on reflectance pulse oximetry
Dassel, A. C. M., Graaff, R., Aardema, M. W., Zijlstra, W. G., & Aarnoudse, J. G. (1997) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1997.tb14350.x · Cited by 22 · see citing works
Development of a Compact Home Health Monitor for Telemedicine
Yoon, G., Lee, J. Y., Jeon, K. J., Park, K. K., & Kim, H. S. (2005) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2005.11.660 · Cited by 15 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
How accurate is pulse rate variability as an estimate of heart rate variability?
Schäfer, A., & Vagedes, J. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.03.119 · Cited by 661 · see citing works
Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
Charlton, P. H., Birrenkott, D. A., Bonnici, T., Pimentel, M. A. F., Johnson, A. E. W., Alastruey, J., Tarassenko, L., Watkinson, P. J., Beale, R., & Clifton, D. A. (2018) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2017.2763681 · Cited by 379 · see citing works
Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring
Fine, J., Branan, K. L., Rodriguez, A. J., Boonya-ananta, T., Ajmal, Ramella-Roman, J. C., McShane, M. J., & Coté, G. L. (2021) · Biosensors · doi:10.3390/bios11040126 · Cited by 348 · see citing works
Photoplethysmographic derivation of respiratory rate: A review of relevant physiology
Meredith, D. J., Clifton, D., Charlton, P., Brooks, J., Pugh, C. W., & Tarassenko, L. (2012) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2011.638965 · Cited by 226 · see citing works
Hartmann, V., Liu, H., Chen, F., Qiu, Q., Hughes, S., & Zheng, D. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00198 · Cited by 173 · see citing works
Kwon, S., Hong, J., Choi, E.-K., Lee, B., Baik, C., Lee, E., Jeong, E.-R., Koo, B.-K., Oh, S., & Yi, Y. (2020) · Journal of Medical Internet Research · doi:10.2196/16443 · Cited by 65 · see citing works
- Authors
- Nilsson, L., Goscinski, T., Kalman, S., Lindberg, L. ‐., & Johansson, A.
- Affiliations
- Linköping University Hospital (SE)
- Linköping University (SE)
- Corresponding author
- Nilsson, L.
- Venue
- Acta Anaesthesiologica Scandinavica
- Publisher
- Wiley
- Published
- 2007-08-15
- Volume
- 51
- Issue
- 9
- Pages
- 1250-1257
- ISSN
- 0001-5172 (ISSN-L)
- 1399-6576
- OpenAlex
- W1976734044
- Cited by
- 88
- References
- 27
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 9 · 2022: 8 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 4 · 2017: 7 · 2016: 2 · 2015: 1 · 2014: 4 · 2013: 3 · 2012: 2
- FWCI
- 1.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Acta Anaesthesiologica Scandinavica (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- photoplethysmography, respiratory monitoring, pulse monitoring, measurement site comparison, power spectrum analysis, coherence analysis, spontaneous breathing, finger PPG, non-invasive monitoring
- MeSH terms
- Adult, Aged, Analysis of Variance, Electrocardiography, Female, Heart Rate, Humans, Male, Middle Aged, Signal Processing, Computer-Assisted, Skin, Respiratory Mechanics, Photoplethysmography, Capnography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review