Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients
Open accessAbstract
OBJECTIVE: Optimizing peri-operative fluid management has been shown to improve patient outcomes and the use of stroke volume (SV) measurement has become an accepted tool to guide fluid therapy. The Transesophageal Doppler (TED) is a validated, minimally invasive device that allows clinical assessment of SV. Unfortunately, the use of the TED is restricted to the intra-operative setting in anesthetized patients and requires constant supervision and periodic adjustment for accurate signal quality. However, post-operative fluid management is also vital for improved outcomes. Currently, there is no device regularly used in clinics that can track patient's SV continuously and non-invasively both during and after surgery. METHODS: In this paper, we propose the use of a wearable patch mounted on the mid-sternum, which captures the seismocardiogram (SCG) and electrocardiogram (ECG) signals continuously to predict SV in patients undergoing major surgery. In a study of 12 patients, hemodynamic data was recorded simultaneously using the TED and wearable patch. Signal processing and regression techniques were used to derive SV from the signals (SCG and ECG) captured by the wearable patch and compare it to values obtained by the TED. RESULTS: The results showed that the combination of SCG and ECG contains substantial information regarding SV, resulting in a correlation and median absolute error between the predicted and reference SV values of 0.81 and 7.56 mL, respectively. SIGNIFICANCE: This work shows promise for the proposed wearable-based methodology to be used as an alternative to TED for continuous patient monitoring and guiding peri-operative fluid management.
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?
The e-tattoo achieves one of the lowest current draws (940 μA) among wearable cardiac sensors developed in prior work.
“This form factor coupled with innovative firmware for sensor interfacing and transmission of data allows us to achieve one of the lowest total device weights (2.5 g including battery) and current draws (940 µ A) among wearable cardiac sensors developed in prior work as illustrated via Ashby plot in Figure 1e. [18-24]”
From A Chest‐Conformable, Wireless Electro‐Mechanical E‐Tattoo for Measuring Multiple Cardiac Time Intervals (2023) · cites this paper as [20]
The e-tattoo achieves one of the lowest total device weights (2.5 g including battery) among wearable cardiac sensors developed in prior work.
“This form factor coupled with innovative firmware for sensor interfacing and transmission of data allows us to achieve one of the lowest total device weights (2.5 g including battery) and current draws (940 µ A) among wearable cardiac sensors developed in prior work as illustrated via Ashby plot in Figure 1e. [18-24]”
From A Chest‐Conformable, Wireless Electro‐Mechanical E‐Tattoo for Measuring Multiple Cardiac Time Intervals (2023) · cites this paper as [20]
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
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
Statistics corner: A guide to appropriate use of correlation coefficient in medical research.
(2012) · Europe PMC (PubMed Central) · Cited by 4,239 · see citing works
Pearson Correlation Coefficient
Benesty, J., Chen, J., Huang, Y. A., & Cohen, I. (2009) · Springer topics in signal processing · doi:10.1007/978-3-642-00296-0_5 · Cited by 3,540 · see citing works
Applied Statistics for the Behavioral Sciences
Witz, K. G., Hinkle, D. E., Wiersma, W., & Jurs, S. G. (1990) · Journal of Educational Statistics · doi:10.2307/1164825 · Cited by 2,927 · see citing works
Prasad, A., Iverson, L. R., & Liaw, A. I. (2006) · Ecosystems · doi:10.1007/s10021-005-0054-1 · Cited by 2,297 · see citing works
Applied statistics for the behavioral sciences
Hinkle, D. E., Wiersma, W., & Jurs, S. G. (1979) · Cited by 2,119 · see citing works
Critchley, L. A. H., & Critchley, J. (1999) · Journal of Clinical Monitoring and Computing · doi:10.1023/a:1009982611386 · Cited by 1,328 · see citing works
Gan, T. J., Soppitt, A. J., Maroof, M., El-Moalem, H. E., Robertson, K. M., Moretti, E., Dwane, P., & Glass, P. S. A. (2002) · Anesthesiology · doi:10.1097/00000542-200210000-00012 · Cited by 950 · see citing works
Ballistocardiography and Seismocardiography: A Review of Recent Advances
Inan, O. T., Migeotte, P.-F., Park, K.-S., Etemadi, M., Tavakolian, K., Casanella, R., Zanetti, J., Tank, J., Funtova, I., Prisk, G. K., et al. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2361732 · Cited by 775 · see citing works
Self-citationMythen, M. G. (1995) · Archives of Surgery · doi:10.1001/archsurg.1995.01430040085019 · Cited by 653 · see citing works
Wakeling, H., McFall, M. R., Jenkins, C., Woods, W. G. A., Miles, W. F. A., Barclay, G. R., & Fleming, S. C. (2005) · British Journal of Anaesthesia · doi:10.1093/bja/aei223 · Cited by 605 · see citing works
Noblett, S. E., Snowden, C. P., Shenton, B. K., & Horgan, A. F. (2006) · British journal of surgery · doi:10.1002/bjs.5454 · Cited by 518 · see citing works
Dyer, S., & Dyer, J. S. (2001) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/5289.911175 · Cited by 329 · see citing works
(2000) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812813381_0003 · Cited by 307 · see citing works
Abbas, S. M., & Hill, A. G. (2007) · Anaesthesia · doi:10.1111/j.1365-2044.2007.05233.x · Cited by 296 · see citing works
Recent Advances in Seismocardiography
Taebi, A., Solar, B. E., Bomar, A. J., Sandler, R. H., & Mansy, H. A. (2019) · Vibration · doi:10.3390/vibration2010005 · Cited by 278 · see citing works
Less invasive hemodynamic monitoring in critically ill patients
Teboul, J., Saugel, B., Cecconi, M., de Backer, D., Hofer, C., Monnet, X., Perel, A., Pinsky, M., Reuter, D., Rhodes, A., et al. (2016) · Intensive Care Medicine · doi:10.1007/s00134-016-4375-7 · Cited by 272 · see citing works
Fluid management and goal-directed therapy as an adjunct to Enhanced Recovery After Surgery (ERAS)
Miller, T. E., Roche, A. M., & Mythen, M. G. (2014) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-014-0266-y · Cited by 257 · see citing works
Inan, O. T., Baran Pouyan, M., Javaid, A. Q., Dowling, S., Etemadi, M., Dorier, A., Heller, J. A., Bicen, A. O., Roy, S., De Marco, T., et al. (2018) · Circulation: Heart Failure · doi:10.1161/circheartfailure.117.004313 · Cited by 207 · see citing works
Self-citationCurrent concepts of fluid management in enhanced recovery pathways
Makaryus, R., Miller, T. E., & Gan, T. J. (2017) · British Journal of Anaesthesia · doi:10.1016/j.bja.2017.10.011 · Cited by 185 · see citing works
Castiglioni, P., Faini, A., Parati, G., & Rienzo, M. D. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353199 · Cited by 156 · see citing works
Pandia, K., Inan, O. T., Kovacs, G. T. A., & Giovangrandi, L. (2012) · Physiological Measurement · doi:10.1088/0967-3334/33/10/1643 · Cited by 114 · see citing works
Self-citationA real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms
Tadi, M. J., Lehtonen, E., Hurnanen, T., Koskinen, J., Eriksson, J., Pänkäälä, M., Teräs, M., & Koivisto, T. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/11/1885 · Cited by 98 · see citing works
Rapid Assessment of Cardiac Contractility on a Home Bathroom Scale
Etemadi, M., Inan, O. T., Giovangrandi, L., & Kovacs, G. T. A. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2161998 · Cited by 97 · see citing works
Self-citationEtemadi, M., Inan, O. T., Heller, J. A., Hersek, S., Klein, L., & Roy, S. (2016) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2015.2405480 · Cited by 95 · cited 1× · see citing works
“Our group has previously developed [24] and studied a wearable patch for ambulatory monitoring in heart failure patients and found that it accurately reflects changes in clinical status [25], [26].”
BackgroundSelf-citationAutomatic Annotation of Seismocardiogram With High-Frequency Precordial Accelerations
Khosrow-Khavar, F., Tavakolian, K., Blaber, A. P., Zanetti, J. M., Fazel-Rezai, R., & Menon, C. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2360156 · Cited by 91 · see citing works
Walsh, S. R., Tang, T. Y., Bass, S., & Gaunt, M. E. (2007) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2007.01516.x · Cited by 88 · see citing works
Wearable ballistocardiogram and seismocardiogram systems for health and performance
Etemadi, M., & Inan, O. T. (2017) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00298.2017 · Cited by 77 · see citing works
Self-citationShandhi, M. M. H., Semiz, B., Hersek, S., Goller, N., Ayazi, F., & Inan, O. T. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2895775 · Cited by 74 · see citing works
Self-citationCybulski, G., Michalak, E., Koźluk, E., Piątkowska, A., & Niewiadomski, W. (2004) · Medical & Biological Engineering & Computing · doi:10.1007/bf02347554 · Cited by 67 · see citing works
Cardiac Output Monitoring: Validation Studies–how Results Should be Presented
Odor, P. M., Bampoe, S., & Cecconi, M. (2017) · Current anesthesiology reports · doi:10.1007/s40140-017-0239-0 · Cited by 64 · see citing works
Estimation of hemodynamic parameters from seismocardiogram
Tavakolian, K., Blaber, A. P., Ngai, B., & Kamińska, B. (2010) · Computing in cardiology · Cited by 59 · see citing works
Hirschl, M. M., Binder, M., Gwechenberger, M., Herkner, H., Bur, A., Kittler, H., & Laggner, A. N. (1997) · Critical Care Medicine · doi:10.1097/00003246-199711000-00033 · Cited by 53 · see citing works
Lorne, E., Mahjoub, Y., Diouf, M., Sleghem, J., Buchalet, C., Guinot, P., Petiot, S., Kessavane, A., Dehédin, B., & Dupont, H. (2014) · British Journal of Anaesthesia · doi:10.1093/bja/aeu136 · Cited by 52 · see citing works
Goal-directed fluid management with trans-oesophageal Doppler
Roche, A. M., Miller, T. E., & Gan, T. J. (2009) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2009.03.001 · Cited by 51 · see citing works
A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals
Zia, J., Kimball, J., Hersek, S., Shandhi, M. M. H., Semiz, B., & Inan, O. T. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2931348 · Cited by 48 · cited 1× · see citing works
“frequencies were determined based on the existing literature [29], [30].”
MethodSelf-citationAshouri, H., Orlandic, L., & Inan, O. T. (2016) · Sensors · doi:10.3390/s16060787 · Cited by 42 · see citing works
Self-citationThree dimensional ballistocardiography: Methodology and results from microgravity and dry immersion
Migeotte, P., Tank, J., Pattyn, N., Funtova, I. I., Baevsky, R. M., Neyt, X., & Prisk, G. K. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091060 · Cited by 37 · see citing works
Modelflow: a new method for noninvasive assessment of cardiac output in pregnant women
Rang, S., Lapiedra, B. D. P., van Montfrans, G. A., Bouma, B. J., Wesseling, K. H., & Wolf, H. (2007) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2006.10.896 · Cited by 35 · see citing works
Ashouri, H., Hersek, S., & Inan, O. T. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2787628 · Cited by 35 · see citing works
Self-citationA frequency domain analysis of respiratory variations in the seismocardiogram signal
Pandia, K., Inan, O. T., & Kovacs, G. T. A. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6611139 · Cited by 32 · see citing works
Self-citationHersek, S., Semiz, B., Shandhi, M. M. H., Orlandic, L., & Inan, O. T. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2931872 · Cited by 30 · see citing works
Self-citationKamoi, S., Pretty, C. G., Balmer, J., Davidson, S. M., Pironet, A., Desaive, T., Shaw, G. M., & Chase, J. G. (2017) · BioMedical Engineering OnLine · doi:10.1186/s12938-017-0341-z · Cited by 25 · see citing works
Cardiovascular Haemodynamics and Doppler Waveforms Explained
Oates, C. P. (2008) · Cited by 25 · see citing works
Interaction between respiratory and RR interval oscillations at low frequencies
Aguirre, A., Wodicka, G. R., Maayan, C., & Shannon, D. C. (1990) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(90)90150-h · Cited by 21 · see citing works
Medical Imaging and Radiotherapy Research: Skills and Strategies
(2020) · Springer eBooks · doi:10.1007/978-3-030-37944-5 · Cited by 20 · see citing works
Kieback, A. G., Borges, A. C., Schink, T., Baumann, G., & Laule, M. (2009) · International Journal of Cardiology · doi:10.1016/j.ijcard.2008.11.201 · Cited by 15 · see citing works
Pilot Study: Estimation of Stroke Volume and Cardiac Output from Pulse Wave Velocity
Obata, Y., Mizogami, M., Nyhan, D. P., Berkowitz, D. E., Steppan, J., & Barodka, V. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169853 · Cited by 8 · see citing works
Tuning Covariance Localization Using Machine Learning
Moosavi, A., Attia, A., & Sandu, A. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22747-0_16 · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [9]Chamberlain BM and Willshire RJ, “ Oesophageal doppler monitor (odm) guided individualised goal directed fluid management (igdfm) in surgery-a technical review,” surgery, vol. 19, p. 21, 2010.
- [10]Singer M, “ Continuous haemodynamic monitoring by oesophageal doppler (md thesis),” London: University of London, 1990.
- [45]Rodrigues JM, Cardoso PJ, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Dongarra JJ, and Sloot PM, Computational Science–ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings. Springer, 2019, vol. 11536. PMC7505107 32983283
Cited by
Sorted by citations
Wearable Seismocardiography‐Based Assessment of Stroke Volume in Congenital Heart Disease
Ganti, V. G., Gazi, A. H., An, S., Srivatsa, A. V., Nevius, B. N., Nichols, C. J., Carek, A. M., Fares, M., Abdulkarim, M., Hussain, T., et al. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.122.026067 · Cited by 58 · see citing works
Self-citationBalali, P., Rabineau, J., Hossein, A., Tordeur, C., Debeir, O., & van de Borne, P. (2022) · Sensors · doi:10.3390/s22239565 · Cited by 49 · see citing works
Advancements in wearable heart sounds devices for the monitoring of cardiovascular diseases
Ahmad, R. U. S., Khan, M. S., Hilal, M. E., Khan, B., Zhang, Y., & Khoo, B. L. (2024) · SmartMat · doi:10.1002/smm2.1311 · Cited by 43 · see citing works
Bhattacharya, S., Nikbakht, M., Alden, A., Tan, P., Wang, J., Alhalimi, T. A., Kim, S., Wang, P., Tanaka, H., Tandon, A., et al. (2023) · Advanced Electronic Materials · doi:10.1002/aelm.202201284 · Cited by 42 · see citing works
Self-citationEnabling Continuous Wearable Reflectance Pulse Oximetry at the Sternum
Chan, M., Ganti, V. G., Heller, J. A., Abdallah, C. A., Etemadi, M., & Inan, O. T. (2021) · Biosensors · doi:10.3390/bios11120521 · Cited by 38 · see citing works
Self-citationSanchez-Perez, J. A., Gazi, A. H., Rahman, F. N., Seith, A., Saks, G., Sundararaj, S., Erbrick, R., Harrison, A. B., Nichols, C. J., Modak, M., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1213982 · Cited by 26 · see citing works
Self-citationNovel Noninvasive Biosensors and Artificial Intelligence for Optimized Heart Failure Management
Neill, L. A., Etemadi, M., Klein, L., & Inan, O. T. (2022) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2022.02.014 · Cited by 15 · see citing works
Self-citationHayirlioglu, Y. Z., & Semiz, B. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3403846 · Cited by 13 · see citing works
Self-citationRespiratory Rate Estimation During Walking Using a Wearable Patch With Modality Attentive Fusion
Chan, M., Gazi, A. H., Aydemir, V. B., Soliman, M. M., Ozmen, G. C., Richardson, K. L. S., Abdallah, C. A., Nikbakht, M. R., Nichols, C. J., & Inan, O. T. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3324931 · Cited by 10 · see citing works
Self-citationClinical application of a body area network-based smart bracelet for pre-hospital trauma care
Han, W., Yuan, J.-Y., Li, R., Yang, L., Fang, J., Fan, H., & Hou, S. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1190125 · Cited by 9 · see citing works
Xu, B., Jiang, F., Zhu, Z., Meng, H., & Xu, L. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107763 · Cited by 9 · see citing works
A Portable Cardiac Dynamic Monitoring System in the Framework of Electro-Mechano-Acoustic Mapping
Gao, Z., Wang, Y., Xu, X., Zhang, C., Dai, Z., Zhang, H., Zhang, J., & Yang, H. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3307188 · Cited by 7 · see citing works
Nawar, A., Gazi, A. H., Chan, M., Sanchez-Perez, J. A., Rahman, F. N., Ziegler, C., Daaboul, O., Haddad, G., Al-Abboud, O. A., Ahmed, H., et al. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340614 · Cited by 7 · see citing works
Self-citationDeep Learning Predicts Cardiac Output from Seismocardiographic Signals in Heart Failure
Wang, J., Nouraie, S. M., Kelly, N. J., & Chan, S. Y. (2025) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2025.09.037 · Cited by 6 · see citing works
Imirzalioglu, M., & Semiz, B. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871636 · Cited by 5 · see citing works
Self-citationNawar, A., Gazi, A., Chan, M., Sanchez-Perez, J. A., Rahman, F. N., Ziegler, C., Daaboul, O., Haddad, G., Al-Abboud, O. A., Ahmed, H., et al. (2025) · ACM Trans. Comput. Heal. · doi:10.1145/3771549 · Cited by 6 · see citing works
Self-citationSantucci, F., Maiorana, E., Romano, C., Nusca, A., Ussia, G. P., Schena, E., Setola, R., & Massaroni, C. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.109179 · Cited by 4 · see citing works
Skoric, J., D’Mello, Y., Clairmonte, N., McLean, A., Hakim, S., Aboulezz, E., Lortie, M. A., & Plant, D. V. (2022) · Computing in cardiology · doi:10.22489/cinc.2022.110 · Cited by 4 · see citing works
Gao, Z., Wang, Y., Yu, K., Dai, Z., Song, T., Zhang, J., Huang, C., Zhang, H., & Yang, H. (2024) · Sensors · doi:10.3390/s24072235 · Cited by 4 · see citing works
Assessment of a new KoMaWo electrode-patch configuration accuracy and review of the literature
Boszko, M., Osak, G., Żurawska, N., Skoczylas, K., Krzowski, B., Wróblewski, G., Maciejewski, A., Sobiech, J., Ostrowski, S., Grabowski, M., et al. (2022) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2022.07.004 · Cited by 3 · see citing works
Seismocardiography-based estimation of hemodynamic parameters during submaximal ergometer test
Deoisres, S., Dumnin, S., Yuenyongchaiwat, K., & Thanawattano, C. (2025) · Physiological Measurement · doi:10.1088/1361-6579/ae091a · Cited by 2 · see citing works
Application of Telemedicine in the Management of Cardiovascular Diseases: A Focus on Heart Failure
Mutirangura, P., Patel, D. B., Akram, H., Hughes, A. N., Arriola‐Montenegro, J., Koukousaki, D., Money, J. E., Kosmopoulos, M., Meyer, M., Harata, M., et al. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm37835 · Cited by 2 · see citing works
Tokmak, F., & Semiz, B. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3194594 · Cited by 2 · see citing works
Self-citationPySio: A New Python Toolbox for Physiological Signal Visualization and Feature Analysis
Nacitarhan, Ö. O., & Semiz, B. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871174 · Cited by 2 · see citing works
Self-citationA Compact Multimodal Patch for Continuous and Electrode-Free Cardiopulmonary Monitoring
Semiz, B. (2025) · Gazi University Journal of Science Part A Engineering and Innovation · doi:10.54287/gujsa.1737897 · Cited by 1 · see citing works
Self-citationKizir, B., & Semiz, B. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11253603 · Cited by 1 · see citing works
Self-citationKizir, B., & Semiz, B. (2023) · International Conference on Bio-engineering for Smart Technologies (BioSMART) · doi:10.1109/biosmart58455.2023.10162053 · Cited by 1 · see citing works
Self-citationInvestigating the Effect of Body Composition Differences on Seismocardiogram Characteristics
Tokmak, F., & Semiz, B. (2023) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms58004.2023.00238 · Cited by 1 · see citing works
Self-citationDual-Modality Electromechanical Physiology Source Mapping
Lu, G., Chen, K., Wang, Q., & Cai, X. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3382347 · Cited by 1 · see citing works
Wearable Cyberphysical Systems for Biomedicine
Latif, T., Dieffenderfer, J. P., da Silva, R. L., Lobaton, E. J., & Bozkurt, A. Y. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822548-6.00124-2 · Cited by 1 · see citing works
2021 Index IEEE Journal of Biomedical and Health Informatics Vol. 25
(2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3140980
Tangolar, D., Kilic, O. S., Liu, S., Yaldiz, C. O., Kimball, J. P., & Inan, O. T. (2025) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn66969.2025.11337669
Self-citationNeural Style Transfer-Based Denoising of Seismocardiogram Signals Under Dynamic Conditions
Moradi, D., Kizir, B., & Semiz, B. (2026) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2026.3688416
Self-citationA Wearable Device for Heart Failure Assessment by Measuring the Cardiac Electro-Mechanical Coupling
Li, J., Liu, M., Wang, X., Sun, Y., & Xu, L. (2026) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc66907.2026.11694710
Korsgaard, E., Agam, A., Søgaard, P., Møgelvang, R., Kristensen, C. B., Helge, J. W., Sørensen, K., Struijk, J. J., & Schmidt, S. E. (2026) · Research Square · doi:10.21203/rs.3.rs-10906309/v1
- Authors
- Semiz, B., Carek, A. M., Johnson, J. C., Ahmad, S., Heller, J. A., Vicente, F. G., Caron, S., Hogue, C. W., Etemadi, M., & Inan, O. T.
- Affiliations
- Georgia Institute of Technology (US)
- Northwestern University (US)
- ORCID
- Venue
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2021-05
- Volume
- 25
- Issue
- 5
- Pages
- 1572-1582
- ISSN
- 2168-2194 (ISSN-L)
- 2168-2208
- PMC
- PMC8189504
- OpenAlex
- W3094395646
- Cited by
- 35
- References
- 51
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 4 · 2023: 9 · 2022: 9 · 2021: 2
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- IEEE Journal of Biomedical and Health Informatics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1R01HL130619-A1)
- Topics
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Keywords
- seismocardiography, wearable patch, stroke volume estimation, esophageal Doppler, electrocardiogram, continuous hemodynamic monitoring, major surgery, non-invasive monitoring
- MeSH terms
- Wearable Electronic Devices, Electrocardiography, Humans, Monitoring, Physiologic, Signal Processing, Computer-Assisted, Stroke Volume, Perioperative Care
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
