An in-ear pulse wave velocity measurement system using heart sounds as time reference
Open accessAbstract
Pulse wave measurements provide vital information in medical diagnosis. For this reason, a measurement system is developed for determining the transient time of the pulse wave between the heart and the ear. To detect pressure variations in the sealed ear canal, caused by the arriving pulse wave, an in-ear sensor is developed which uses heart sounds as time reference. Furthermore, for extracting the heart sounds from the pressure measurements and calculating the pulse wave transient time, a MATLAB-based algorithm is described. An embedded microcontroller based measurement board is presented, which realizes an interface between the sensor and the computer for signal processing.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Bone conducted sounds collected via wearables have been analysed for health applications.
“In addition to the normal airborne sound, bone conducted sounds collected via wearables have also been analysed for health application, which is generally collected via earables or sensors placed near neck.”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Expert consensus document on arterial stiffness: methodological issues and clinical applications
Laurent, S., Cockcroft, J., Van Bortel, L., Boutouyrie, P., Giannattasio, C., Hayoz, D., Pannier, B., Vlachopoulos, C., Wilkinson, I., Struijker-Boudier, H., et al. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl254 · Cited by 6,077 · see citing works
Photoplethysmography and its application in clinical physiological measurement
Allen, J. (2007) · Physiological Measurement · doi:10.1088/0967-3334/28/3/r01 · Cited by 3,967 · see citing works
Laurent, S., Boutouyrie, P., Asmar, R., Gautier, I., Laloux, B., Guize, L., Ducimetiere, P., & Benetos, A. (2001) · Hypertension · doi:10.1161/01.hyp.37.5.1236 · Cited by 3,856 · see citing works
Medical Instrumentation-Application and Design
Webster, J. G. (1978) · Journal of Clinical Engineering · doi:10.1097/00004669-197807000-00017 · Cited by 1,849 · see citing works
Impact of Aortic Stiffness Attenuation on Survival of Patients in End-Stage Renal Failure
Guérin, A. P., Blacher, J., Pannier, B., Marchais, S. J., Safar, M. E., & London, G. M. (2001) · Circulation · doi:10.1161/01.cir.103.7.987 · Cited by 1,035 · see citing works
Cattivelli, F. S., & Garudadri, H. (2009) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2009.35 · Cited by 172 · see citing works
Biomedical Engineering / Biomedizinische Technik
Technik, D. G. F. B., Technik, Ö. G. F. B., & Technik, S. G. F. B. (2006) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmte · Cited by 72 · see citing works
Arterielle Gefäßsteifigkeit und Pulswellenanalyse
Baulmann, J., Nürnberger, J., Slany, J., Schmieder, R., Schmidt‐Trucksäss, A., Baumgart, D., Cremerius, P., Hess, O. M., Mortensen, K., & Weber, T. (2010) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/s-0030-1249183 · Cited by 48 · see citing works
Mohammadiha, N., Doclo, S., Vos, M. D., Bleichner, M., & Debener, S. (2014) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2014-5011 · Cited by 23 · see citing works
Comparison of bilateral pulse arrival time before and after induced vasodilation by axillary block
Kortekaas, M. C., Niehof, S. P., van Velzen, M. H. N., Galvin, E. M., Stolker, R. J., & Huygen, F. J. P. M. (2012) · Physiological Measurement · doi:10.1088/0967-3334/33/12/1993 · Cited by 21 · see citing works
In-Ear Pulse Wave Measurements: A Pilot Study
Kaufmann, S., Ardelt, G., Malhotra, A., & Ryschka, M. (2013) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2013-4128 · Cited by 5 · see citing works
Self-citationMiddeke, M. (2010) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/s-0030-1249182 · Cited by 3 · see citing works
Zweitmeinungsverfahren: Die Meinungen gehen auseinander
Weiß, J. (2010) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/s-0030-1247668 · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 14 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Baulmann J et al. Arterielle Gefäßsteifigkeit und Pulswellen- analyse -Positionspapier zu Grundlagen, Methodik, Beein- flussbarkeit und Ergebnisinterpretation. Deutsche Medizinis- che Wochenschrift 2010; 135: 4-14.
Cited by
Sorted by citations
The 2023 wearable photoplethysmography roadmap
Charlton, P. H., Allen, J., Bailón, R., Baker, S., Behar, J. A., Chen, F., Clifford, G. D., Clifton, D. A., Davies, H. J., Ding, C., et al. (2023) · Physiological Measurement · doi:10.1088/1361-6579/acead2 · Cited by 210 · see citing works
Local Pulse Wave Velocity: Theory, Methods, Advancements, and Clinical Applications
Nabeel, P. M., Kiran, V. R., Joseph, J., Abhidev, V. V., & Sivaprakasam, M. (2019) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2019.2931587 · Cited by 158 · see citing works
In-Ear Audio Wearable: Measurement of Heart and Breathing Rates for Health and Safety Monitoring
Martin, A., & Voix, J. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2720463 · Cited by 112 · see citing works
Yang, C., & Tavassolian, N. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2696703 · Cited by 62 · see citing works
Hasan, K., Ebrahim, M. P., Xu, H., & Yuce, M. R. (2022) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2022.3212695 · Cited by 31 · see citing works
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Dang, T., Spathis, D., Ghosh, A., & Mascolo, C. (2023) · Royal Society Open Science · doi:10.1098/rsos.230806 · Cited by 30 · see citing works
Advanced Sensing System for Sleep Bruxism across Multiple Postures via EMG and Machine Learning
Gul, J. Z., Noor, F., Din, Z. M. U., Khan, M., Kim, W. Y., & Rehman, M. M. (2024) · Sensors · doi:10.3390/s24165426 · Cited by 25 · see citing works
An evaluation of heart rate monitoring with in-ear microphones under motion
Butkow, K.-J., Dang, T., Ferlini, A., Ma, D., Liu, Y., & Cecilia Mascolo, C. (2024) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2024.101913 · Cited by 25 · see citing works
Pulse transit time measurement using seismocardiogram and in-ear acoustic sensor
Yang, C., & Tavassolian, N. (2016) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2016.7833763 · Cited by 10 · see citing works
A Bioimpedance-Based Cardiovascular Measurement System
Kusche, R., Hauschild, S., & Ryschka, M. (2018) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-9038-7_154 · Cited by 7 · see citing works
Self-citationA novel signal acquisition platform of human cardiovascular information with noninvasive method
Chen, L., Cai, S., Li, B. Y., Jiang, Q., Ke, M., Zhao, Y., Chen, S., & Zou, M. (2017) · Review of Scientific Instruments · doi:10.1063/1.4982952 · Cited by 6 · see citing works
On the Production and Measurement of Cardiac Sounds in the Ear Canal
Christofferson, K., Bhalla, S., Cafazzo, J. A., & Mariakakis, A. T. (2024) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3675094.3680526 · Cited by 2 · see citing works
Margain, T. C., Powell, E., Clark, A. L., & Bush, A. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1481836 · Cited by 2 · see citing works
Motion-resilient Heart Rate Monitoring with In-ear Microphones.Preprint
Butkow, K.-J., Dang, T., Ferlini, A., Ma, D., & Cecilia Mascolo, C. (2021) · arXiv (Cornell University) · Cited by 1 · see citing works
Pulse Wave Measurement With In-Ear Headphones While Music Playback
Kusche, R., Dichte, D., Gomez, J. C. H., & Thölen, T. (2024) · IEEE Sensors Letters · doi:10.1109/lsens.2024.3512200
Self-citation
- Authors
- Kusche, R., Klimach, P., Malhotra, A., Kaufmann, S., & Ryschka, M.
- Affiliations
- University of Lübeck (DE)
- Technical University of Applied Sciences Lübeck (DE)
- Corresponding author
- Kusche, R.
- ORCID
- Kusche, R.
- Venue
- Current Directions in Biomedical Engineering
- Publisher
- Walter de Gruyter GmbH
- Published
- 2015-09-01
- Volume
- 1
- Issue
- 1
- Pages
- 366-370
- ISSN
- 2364-5504 (ISSN-L)
- OpenAlex
- W2346152958
- Cited by
- 15
- References
- 14
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 1
- FWCI
- 0.83
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Current Directions in Biomedical Engineering (publishedVersion, cc-by-nc-nd)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- Bundesministerium für Bildung und Forschung (FKZ 13EZ1140A/B, 13EZ1140A/B)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Phonocardiography and Auscultation Techniques
- Keywords
- pulse wave velocity, heart sounds, temporal reference, ear canal pressure, embedded microcontroller, MATLAB algorithm, pulse wave measurement
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