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Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients
Open accessAbstract
Background: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of electrical and mechanical aspects of cardiac function in the context of exercise. Methods and Results: Patients with compensated (outpatient) and decompensated (hospitalized) HF were fitted with a wearable ECG and seismocardiogram sensing patch. Patients stood at rest for an initial recording, performed a 6-minute walk test, and then stood at rest for 5 minutes of recovery. The protocol was performed at the time of outpatient visit or at 2 time points (admission and discharge) during an HF hospitalization. To assess patient state, we devised a method based on comparing the similarity of the structure of seismocardiogram signals after exercise compared with rest using graph mining (graph similarity score). We found that graph similarity score can assess HF patient state and correlates to clinical improvement in 45 patients (13 decompensated, 32 compensated). A significant difference was found between the groups in the graph similarity score metric (44.4±4.9 [decompensated HF] versus 35.2±10.5 [compensated HF]; P <0.001). In the 6 decompensated patients with longitudinal data, we found a significant change in graph similarity score from admission (decompensated) to discharge (compensated; 44±4.1 [admitted] versus 35±3.9 [discharged]; P <0.05). Conclusions: Wearable technologies recording cardiac function and machine learning algorithms can assess compensated and decompensated HF states by analyzing cardiac response to submaximal exercise. These techniques can be tested in the future to track the clinical status of outpatients with HF and their response to pharmacological interventions.
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“The fundamental frequency of 410.7 ± 47.9 (Supplementary Fig.24e) is consistent with published results46.”
From Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units (2020) · cites this paper as [46]
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Cites
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,925
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
ATS Statement: Guidelines for the Six-Minute Walk Test
(2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.166.1.at1102 · Cited by 11,195
(2006) · Springer eBooks · Cited by 8,123
The fast Fourier transform and its applications
(1989) · Choice Reviews Online · doi:10.5860/choice.26-3285 · Cited by 2,118
Cleland, J. G. F. (2003) · European Heart Journal · doi:10.1016/s0195-668x(02)00823-0 · Cited by 1,553
Dharmarajan, K., Hsieh, A., Lin, Z., Bueno, H., Ross, J. S., Horwitz, L. I., Barreto-Filho, J. A. S., Kim, N. V., Bernheim, S. M., Suter, L. G., et al. (2013) · JAMA · doi:10.1001/jama.2012.216476 · Cited by 1,059
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
Self-citationCahalin, L. P., Mathier, M. A., Semigran, M. J., Dec, G. W., & DiSalvo, T. G. (1996) · CHEST Journal · doi:10.1378/chest.110.2.325 · Cited by 761
Intrathoracic Impedance Monitoring in Patients With Heart Failure
Yu, C., Wang, L., Chau, E. M. C., Chan, R. H.-W., Kong, S., TANG, M., Christensen, J., Stadler, R. W., & Lau, C. (2005) · Circulation · doi:10.1161/circulationaha.104.492207 · Cited by 708
Efficient k-nearest neighbor graph construction for generic similarity measures
Dong, W., Charikar, M., & Li, K. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963487 · Cited by 703
Ong, M. K., Romano, P. S., Edgington, S., Aronow, H. U., Auerbach, A. D., Black, J. T., De Marco, T., Escarce, J. J., Evangelista, L. S., Hanna, B., et al. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.7712 · Cited by 695
Solomon, S. D., Dobson, J., Pocock, S., Skali, H., McMurray, J. J. V., Granger, C. B., Yusuf, S., Swedberg, K., Young, J. B., Michelson, E. L., et al. (2007) · Circulation · doi:10.1161/circulationaha.107.696906 · Cited by 681
Abraham, W. T., Stevenson, L. W., Bourge, R. C., Lindenfeld, J. A., Bauman, J. G., & Adamson, P. B. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00723-0 · Cited by 621
Ambrosy, A. P., Pang, P. S., Khan, S. S., Konstam, M. A., Fonarow, G. C., Traver, B., Maggioni, A. P., Cook, T. D., Swedberg, K. B., Burnett, J. C. J., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs444 · Cited by 610
Transition From Chronic Compensated to Acute Decompensated Heart Failure
Zile, M. R., Bennett, T., Sutton, M. S. J., Cho, Y. K., Adamson, P. B., Aaron, M. F., Aranda, J. M., Abraham, W. T., Smart, F. W., Stevenson, L. W., et al. (2008) · Circulation · doi:10.1161/circulationaha.108.783910 · Cited by 566
Bourge, R. C., Abraham, W. T., Adamson, P. B., Aaron, M. F., Aranda, J. M., Magalski, A., Zile, M. R., Smith, A. L., Smart, F. W., O’Shaughnessy, M., et al. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.10.061 · Cited by 549
Patterns of Weight Change Preceding Hospitalization for Heart Failure
Chaudhry, S. I., Wang, Y., Concato, J., Gill, T. M., & Krumholz, H. M. (2007) · Circulation · doi:10.1161/circulationaha.107.690768 · Cited by 437
Predischarge initiation of carvedilol in patients hospitalized for decompensated heart failure
Gattis, W. A., O’Connor, C. M., Gallup, D. S., Hasselblad, V., & Gheorghiade, M. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2003.12.040 · Cited by 372
Ongoing right ventricular hemodynamics in heart failure
Adamson, P. B., Magalski, A., Braunschweig, F., Böhm, M., REYNOLDS, D. W., Steinhaus, D. M., Luby, A., Linde, C. M., Rydén, L., Cremers, B., et al. (2003) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)02896-6 · Cited by 350
Fonarow, G. C. (2003) · PubMed · Cited by 339
Steimle, A. E., Stevenson, L. W., Chelimsky-Fallick, C., Fonarow, G. C., Hamilton, M. A., Moriguchi, J. D., Kartashov, A. I., & Tillisch, J. H. (1997) · Circulation · doi:10.1161/01.cir.96.4.1165 · Cited by 230
Abraham, W. T., Compton, S. J., Haas, G. J., Foreman, B. W., Canby, R. C., Fishel, R., McRae, S., Toledo, G. B., Sarkar, S., Hettrick, D. A., et al. (2011) · Congestive Heart Failure · doi:10.1111/j.1751-7133.2011.00220.x · Cited by 223
Packer, M., Abraham, W. T., Mehra, M. R., Yancy, C. W., Lawless, C. E., Mitchell, J. E., Smart, F. W., Bijou, R., O’Connor, C. M., Massie, B. M., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.12.071 · Cited by 215
Home Monitoring for Heart Failure Management
Bui, A. L., & Fonarow, G. C. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.09.044 · Cited by 204
Direct Left Atrial Pressure Monitoring in Ambulatory Heart Failure Patients
Ritzema, J., Melton, I., Richards, M., Crozier, I., Frampton, C. M., Doughty, R. N., Whiting, J. S., Kar, S., Eigler, N. L., Krum, H., et al. (2007) · Circulation · doi:10.1161/circulationaha.107.702191 · Cited by 144
Rationale and Design of the GUIDE-IT Study
Felker, G. M., Ahmad, T., Anstrom, K. J., Adams, K. F., Cooper, L. S., Ezekowitz, J. A., Fiuzat, M., Miller, N. H., Januzzi, J. L., Leifer, E., et al. (2014) · JACC Heart Failure · doi:10.1016/j.jchf.2014.05.007 · Cited by 137
Intracardiac Pressures Measured Using an Implantable Hemodynamic Monitor
Zile, M. R., Bennett, T., Hajj, S. C. E., Kueffer, F. J., Baicu, C. F., Abraham, W. T., Bourge, R. C., & Stevenson, L. W. (2017) · Circulation Heart Failure · doi:10.1161/circheartfailure.116.003594 · Cited by 110
Accuracy and Usability of a Self-Administered 6-Minute Walk Test Smartphone Application
Brooks, G. C., Vittinghoff, E., Iyer, S., Tandon, D., Kuhar, P., Madsen, K. A., Marcus, G. M., Pletcher, M. J., & Olgin, J. E. (2015) · Circulation Heart Failure · doi:10.1161/circheartfailure.115.002062 · Cited by 108
Seismocardiography: a technique for recording precordial acceleration
Zanetti, J. M., & Salerno, D. M. (2002) · doi:10.1109/cbms.1991.128936 · Cited by 103
Etemadi, 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
Self-citationDecreased Cardiac Functional Reserve in Heart Failure With Preserved Systolic Function
Norman, H. S., Oujiri, J., LaRue, S., Chapman, C. B., Margulies, K. B., & Sweitzer, N. K. (2010) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2010.11.004 · Cited by 66
Treating Hemodynamic Congestion Is the Key to Prevent Heart Failure Hospitalizations ∗
Klein, L. (2016) · JACC Heart Failure · doi:10.1016/j.jchf.2016.03.004 · Cited by 28
Self-citation
Research works printed but not linked: 2
- Brigham EOThe Fast Fourier Transform a nd Its Applications. Englewood Cliffs, NJ: Prentice Hall; 1988.
- Bishop CMPattern R ecognition and Machine Learning (Information Science and Statistics). New York, NY: Springer-Verlag; 2006.
Cited by
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Chung, H. U., Rwei, A. Y., Hourlier-Fargette, A., Xu, S., Lee, K., Dunne, E. C., Xie, Z., Liu, C., Carlini, A., Kim, D. H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0792-9 · Cited by 482
Lee, K., Ni, X., Lee, J. Y., Arafa, H., Pe, D. J., Xu, S., Avila, R., Irie, M., Lee, J. H., Easterlin, R. L., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0480-6 · Cited by 349
Inan, O. T., Tenaerts, P., Prindiville, S. A., Reynolds, H. R., Dizon, D. S., Cooper-Arnold, K., Turakhia, M., Pletcher, M. J., Preston, K. L., Krumholz, H. M., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0302-y · Cited by 329
Self-citationWearable Devices in Cardiovascular Medicine
Hughes, A. N., Shandhi, M. M. H., Master, H., Dunn, J., & Brittain, E. L. (2023) · Circulation Research · doi:10.1161/circresaha.122.322389 · Cited by 341
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
Metadata
- Authors
- 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., & Klein, L.
- Affiliations
- Northwestern University (US)
- From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).
- ORCID
- Venue
- Circulation: Heart Failure
- Published
- 2018-01
- Volume
- 11
- Issue
- 1
- Pages
- e004313-e004313
- ISSN
- 1941-3289 (ISSN-L)
- 1941-3297
- PMC
- PMC5769154
- OpenAlex
- W2783795641
- Cited by
- 207
- References
- 33
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 26 · 2023: 21 · 2022: 36 · 2021: 29 · 2020: 39 · 2019: 18 · 2018: 7
- FWCI
- 9.30
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Circulation Heart Failure (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Aging (R56AG048458)
- National Heart, Lung, and Blood Institute (R01HL130619)
- National Institute of General Medical Sciences (T32GM007618)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- heart failure, seismocardiography, wearable sensors, remote patient monitoring, acute decompensated heart failure, submaximal exercise, 6-minute walk test, cardiac function, machine learning
- MeSH terms
- Machine Learning, Wearable Electronic Devices, Adult, Aged, Algorithms, Electrocardiography, Equipment Design, Female, Heart Failure, Humans, Kinetocardiography, Male, Middle Aged, Exercise
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