{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:52:36Z","timestamp":1777675956313,"version":"3.51.4"},"reference-count":86,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Cardiac monitoring can be performed by means of an accelerometer attached to a subject\u2019s chest, which produces the Seismocardiography (SCG) signal. Detection of SCG heartbeats is commonly carried out by taking advantage of a simultaneous electrocardiogram (ECG). SCG-based long-term monitoring would certainly be less obtrusive and easier to implement without an ECG. Few studies have addressed this issue using a variety of complex approaches. This study proposes a novel approach to ECG-free heartbeat detection in SCG signals via template matching, based on normalized cross-correlation as heartbeats similarity measure. The algorithm was tested on the SCG signals acquired from 77 patients with valvular heart diseases, available from a public database. The performance of the proposed approach was assessed in terms of sensitivity and positive predictive value (PPV) of the heartbeat detection and accuracy of inter-beat intervals measurement. Sensitivity and PPV of 96% and 97%, respectively, were obtained by considering templates that included both systolic and diastolic complexes. Regression, correlation, and Bland\u2013Altman analyses carried out on inter-beat intervals reported slope and intercept of 0.997 and 2.8 ms (R2 &gt; 0.999), as well as non-significant bias and limits of agreement of \u00b17.8 ms. The results are comparable or superior to those achieved by far more complex algorithms, also based on artificial intelligence. The low computational burden of the proposed approach makes it suitable for direct implementation in wearable devices.<\/jats:p>","DOI":"10.3390\/s23104684","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T09:56:18Z","timestamp":1683885378000},"page":"4684","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["ECG-Free Heartbeat Detection in Seismocardiography Signals via Template Matching"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3422-8727","authenticated-orcid":false,"given":"Jessica","family":"Centracchio","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy"}]},{"given":"Salvatore","family":"Parlato","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0716-8431","authenticated-orcid":false,"given":"Daniele","family":"Esposito","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9585-971X","authenticated-orcid":false,"given":"Paolo","family":"Bifulco","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4829-3941","authenticated-orcid":false,"given":"Emilio","family":"Andreozzi","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technologies, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Galli, A., Montree, R.J.H., Que, S., Peri, E., and Vullings, R. (2022). An Overview of the Sensors for Heart Rate Monitoring Used in Extramural Applications. Sensors, 22.","DOI":"10.3390\/s22114035"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kramme, R., Hoffmann, K.P., and Pozos, R.S. (2011). Springer Handbook of Medical Technology, Springer.","DOI":"10.1007\/978-3-540-74658-4"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Polley, C., Jayarathna, T., Gunawardana, U., Naik, G., Hamilton, T., Andreozzi, E., Bifulco, P., Esposito, D., Centracchio, J., and Gargiulo, G. (2021). Wearable Bluetooth Triage Healthcare Monitoring System. Sensors, 21.","DOI":"10.3390\/s21227586"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"436","DOI":"10.7326\/0003-4819-118-6-199303150-00008","article-title":"Heart rate variability","volume":"118","author":"Hopman","year":"1993","journal-title":"Ann. Intern. Med."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.pcad.2009.05.003","article-title":"Heart Rate as a Risk Factor for Cardiovascular Disease","volume":"52","author":"Joly","year":"2009","journal-title":"Prog. Cardiovasc. Dis."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1111\/j.1542-474X.2005.10101.x","article-title":"Heart rate variability: Measurement and clinical utility","volume":"10","author":"Kleiger","year":"2005","journal-title":"Ann. Noninvas. Electrocardiol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/B978-0-444-53491-0.00031-6","article-title":"Chapter 31\u2014Heart rate variability","volume":"117","author":"Buijs","year":"2013","journal-title":"Handbook of Clinical Neurology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"105407","DOI":"10.1016\/j.compbiomed.2022.105407","article-title":"Heart rate variability for medical decision support systems: A review","volume":"145","author":"Faust","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Hernando, D., Roca, S., Sancho, J., Alesanco, \u00c1., and Bail\u00f3n, R. (2018). Validation of the Apple Watch for Heart Rate Variability Measurements during Relax and Mental Stress in Healthy Subjects. Sensors, 18.","DOI":"10.3390\/s18082619"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.amjmed.2014.09.016","article-title":"Resting heart rate: Risk indicator and emerging risk factor in cardiovascular disease","volume":"128","author":"Reil","year":"2015","journal-title":"Am. J. Med."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.smrv.2011.02.005","article-title":"Heart rate variability, sleep and sleep disorders","volume":"16","author":"Stein","year":"2012","journal-title":"Sleep Med. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1055\/a-1864-9726","article-title":"Practices and Applications of Heart Rate Variability Monitoring in Endurance Athletes","volume":"44","author":"Lundstrom","year":"2023","journal-title":"Int. J. Sport. Med."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"517","DOI":"10.2165\/00007256-200333070-00004","article-title":"Heart rate monitoring: Applications and limitations","volume":"33","author":"Achten","year":"2003","journal-title":"Sport. Med."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"064004","DOI":"10.1088\/1361-6579\/ab1887","article-title":"Heart rate variability monitoring for emotion and disorders of emotion","volume":"40","author":"Zhu","year":"2019","journal-title":"Physiol. Meas."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"106830","DOI":"10.1016\/j.aap.2022.106830","article-title":"Detecting driver fatigue using heart rate variability: A systematic review","volume":"178","author":"Lu","year":"2022","journal-title":"Accid. Anal. Prev."},{"key":"ref_16","unstructured":"Webster, J.G. (2010). Medical Instrumentation: Application and Design, John Wiley & Sons. [4th ed.]."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Webster, J.G. (2006). Encyclopedia of Medical Devices and Instrumentation, John Wiley & Sons, Inc.. [2nd ed.].","DOI":"10.1002\/0471732877"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Iaizzo, P.A. (2015). Handbook of Cardiac Anatomy, Physiology and Devices, Springer. [3rd ed.].","DOI":"10.1007\/978-3-319-19464-6"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Bronzino, J.D. (1999). Biomedical Engineering Handbook, CRC Press.","DOI":"10.1201\/9781003040682"},{"key":"ref_20","unstructured":"Sattar, Y., and Chhabra, L. (2023, April 07). Electrocardiogram, Available online: https:\/\/www.ncbi.nlm.nih.gov\/books\/NBK549803\/."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.cmpb.2015.12.008","article-title":"ECG-based heartbeat classification for arrhythmia detection: A survey","volume":"127","author":"Luz","year":"2016","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/TBME.1985.325532","article-title":"A real-time QRS detection algorithm","volume":"32","author":"Pan","year":"1985","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0967-3334\/28\/3\/R01","article-title":"Photoplethysmography and its application in clinical physiological measurement","volume":"28","author":"Allen","year":"2007","journal-title":"Physiol. Meas."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Andreozzi, E., Sabbadini, R., Centracchio, J., Bifulco, P., Irace, A., Breglio, G., and Riccio, M. (2022). Multimodal Finger PulseWave Sensing: Comparison of Forcecardiography and Photoplethysmography Sensors. Sensors, 22.","DOI":"10.3390\/s22197566"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1038\/s41746-019-0207-9","article-title":"Photoplethysmography based atrial fibrillation detection: A review","volume":"3","author":"Pereira","year":"2020","journal-title":"NPJ Digit. Med."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6560","DOI":"10.1109\/JSEN.2019.2914166","article-title":"Heart Rate Estimation from Wrist-Worn Photoplethysmography: A Review","volume":"19","author":"Biswas","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1902","DOI":"10.1109\/TBME.2015.2406332","article-title":"Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction","volume":"62","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/s13634-020-00714-2","article-title":"Heart rate tracking in photoplethysmography signals affected by motion artifacts: A review","volume":"5","author":"Ismail","year":"2021","journal-title":"EURASIP J. Adv. Signal. Process."},{"key":"ref_29","first-page":"533","article-title":"On certain molar movements of the human body produced by the circulation of blood","volume":"11","author":"Gordon","year":"1877","journal-title":"J. Anat. Physiol."},{"key":"ref_30","unstructured":"Knoop, A.A. (1965). NASA Contractor Report\u2014NASA CR, National Aeronautics and Space Administration."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1016\/0002-9149(58)90271-6","article-title":"The relation of the ballistocardiogram to cardiac function","volume":"2","author":"Starr","year":"1958","journal-title":"Am. J. Cardiol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/0002-8703(56)90079-5","article-title":"Physical basis of ballistocardiography. III","volume":"51","author":"Burger","year":"1956","journal-title":"Am. Heart J."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s13755-019-0071-7","article-title":"Ballistocardiogram signal processing: A review","volume":"7","author":"Sadek","year":"2019","journal-title":"Health Inf. Sci. Syst."},{"key":"ref_34","unstructured":"Inan, O.T. (September, January 28). Recent advances in cardiovascular monitoring using ballistocardiography. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA, USA."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/S0002-8703(42)90541-6","article-title":"The graphic registration of the normal heart sounds","volume":"23","author":"Rappaport","year":"1942","journal-title":"Am. Heart J."},{"key":"ref_36","first-page":"139","article-title":"Phonocardiography","volume":"94","author":"Dimond","year":"1961","journal-title":"Calif. Med."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1186\/s13634-018-0545-9","article-title":"Localization and classification of heart beats in phonocardiography signals\u2014A comprehensive review","volume":"2018","author":"Ismail","year":"2018","journal-title":"EURASIP J. Adv. Signal. Process."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Giordano, N., and Knaflitz, M. (2019). A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography. Sensors, 19.","DOI":"10.3390\/s19081868"},{"key":"ref_39","first-page":"2","article-title":"Seismocardiography: A new technique for recording cardiac vibrations: Concept, method, and initial observations","volume":"9","author":"Zanetti","year":"1990","journal-title":"J. Cardiovasc. Technol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1109\/JBHI.2014.2361732","article-title":"Ballistocardiography and Seismocardiography: A Review of Recent Advances","volume":"19","author":"Inan","year":"2015","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"64","DOI":"10.3390\/vibration2010005","article-title":"Recent Advances in Seismocardiography","volume":"2","author":"Taebi","year":"2019","journal-title":"Vibration"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zanetti, J.M., and Tavakolian, K. (2013, January 3\u20137). Seismocardiography: Past, present and future. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.","DOI":"10.1109\/EMBC.2013.6611170"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1159\/000470156","article-title":"Relationship between Seismocardiogram and Echocardiogram for Events in the Cardiac Cycle","volume":"8","author":"Crow","year":"1994","journal-title":"Am. J. Noninvas. Cardiol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1109\/TBME.2016.2616382","article-title":"Automatic and Robust Delineation of the Fiducial Points of the Seismocardiogram Signal for Noninvasive Estimation of Cardiac Time Intervals","volume":"64","author":"Tavakolian","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.autneu.2013.04.005","article-title":"Wearable seismocardiography: Towards a beat-by-beat assessment of cardiac mechanics in ambulant subjects","volume":"178","author":"Vaini","year":"2013","journal-title":"Auton. Neurosci."},{"key":"ref_46","first-page":"413","article-title":"Seismocardiograms return valid heart rate variability indices","volume":"2013","author":"Laurin","year":"2013","journal-title":"Comput. Cardiol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"6823","DOI":"10.1038\/s41598-017-07248-y","article-title":"Gyrocardiography: A New Non-invasive Monitoring Method for the Assessment of Cardiac Mechanics and the Estimation of Hemodynamic Variables","volume":"7","author":"Lehtonen","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sieci\u0144ski, S., Kostka, P.S., and Tkacz, E.J. (2020). Gyrocardiography: A Review of the Definition, History, Waveform Description and Applications. Sensors, 20.","DOI":"10.3390\/s20226675"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"10479","DOI":"10.1038\/s41598-019-46823-3","article-title":"Accurate Detection of Dobutamine-induced Haemodynamic Changes by Kino-Cardiography: A Randomised Double-Blind Placebo-Controlled Validation Study","volume":"9","author":"Hossein","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Hossein, A., Rabineau, J., Gorlier, D., Del Rio, J.I.J., van de Borne, P., Migeotte, P.F., and Nonclercq, A. (2021). Kinocardiography Derived from Ballistocardiography and Seismocardiography Shows High Repeatability in Healthy Subjects. Sensors, 21.","DOI":"10.3390\/s21030815"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Andreozzi, E., Fratini, A., Esposito, D., Naik, G., Polley, C., Gargiulo, G.D., and Bifulco, P. (2020). Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall. Sensors, 20.","DOI":"10.3390\/s20143885"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"725716","DOI":"10.3389\/fphys.2021.725716","article-title":"A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds","volume":"12","author":"Andreozzi","year":"2021","journal-title":"Front. Physiol."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Andreozzi, E., Centracchio, J., Punzo, V., Esposito, D., Polley, C., Gargiulo, G.D., and Bifulco, P. (2021). Respiration Monitoring via Forcecardiography Sensors. Sensors, 21.","DOI":"10.3390\/s21123996"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Centracchio, J., Andreozzi, E., Esposito, D., Gargiulo, G.D., and Bifulco, P. (2022). Detection of Aortic Valve Opening and Estimation of Pre-Ejection Period in Forcecardiography Recordings. Bioengineering, 9.","DOI":"10.3390\/bioengineering9030089"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Andreozzi, E., Centracchio, J., Esposito, D., and Bifulco, P. (2022). A Comparison of Heart Pulsations Provided by Forcecardiography and Double Integration of Seismocardiogram. Bioengineering, 9.","DOI":"10.3390\/bioengineering9040167"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Centracchio, J., Andreozzi, E., Esposito, D., and Gargiulo, G.D. (2022). Respiratory-Induced Amplitude Modulation of Forcecardiography Signals. Bioengineering, 9.","DOI":"10.3390\/bioengineering9090444"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Centracchio, J., Esposito, D., Gargiulo, G.D., and Andreozzi, E. (2022). Changes in Forcecardiography Heartbeat Morphology Induced by Cardio-Respiratory Interactions. Sensors, 22.","DOI":"10.3390\/s22239339"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"D\u2019Mello, Y., Skoric, J., Xu, S., Roche, P.J.R., Lortie, M., Gagnon, S., and Plant, D.V. (2019). Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography. Sensors, 19.","DOI":"10.3390\/s19163472"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"055004","DOI":"10.1088\/1361-6579\/ab87b2","article-title":"Investigating the estimation of cardiac time intervals using gyrocardiography","volume":"41","author":"Dehkordi","year":"2020","journal-title":"Physiol. Meas."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1588","DOI":"10.1088\/0967-3334\/37\/9\/1588","article-title":"Accurate and consistent automatic seismocardiogram annotation without concurrent ECG","volume":"37","author":"Laurin","year":"2016","journal-title":"Physiol. Meas."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1088\/0967-3334\/37\/11\/1885","article-title":"A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms","volume":"37","author":"Lehtonen","year":"2016","journal-title":"Physiol. Meas."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/978-3-319-70063-2_15","article-title":"Determining heart rate beat-to-beat from smartphone seismocardiograms: Preliminary studies","volume":"623","author":"Gzik","year":"2018","journal-title":"Proceedings of the Innovations in Biomedical Engineering Conference"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1109\/JSEN.2018.2874706","article-title":"Stand-Alone Heartbeat Detection in Multidimensional Mechanocardiograms","volume":"19","author":"Kaisti","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Luu, L., and Dinh, A. (2018, January 18\u201321). Using moving average method to recognize systole and diastole on seismocardiogram without ECG signal. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8513297"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/JBHI.2018.2829608","article-title":"Automatic Detection of Aortic Valve Opening Using Seismocardiography in Healthy Individuals","volume":"23","author":"Choudhary","year":"2019","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1186\/s12938-019-0687-5","article-title":"Comparison of HRV indices obtained from ECG and SCG signals from CEBS database","volume":"18","author":"Tkacz","year":"2019","journal-title":"Biomed. Eng. Online"},{"key":"ref_67","first-page":"1","article-title":"Comparison of Seismocardiography Based Heart Rate Measurement Method","volume":"55","author":"Erfianto","year":"2020","journal-title":"J. Southwest. Jiaotong Univ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/JBHI.2020.3009997","article-title":"The Delineation of Fiducial Points for Non-Contact Radar Seismocardiogram Signals without Concurrent ECG","volume":"25","author":"Xia","year":"2021","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1109\/TIM.2019.2908511","article-title":"Fully Automated Annotation of Seismocardiogram for Noninvasive Vital Sign Measurements","volume":"69","author":"Mora","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_70","unstructured":"Garc\u00eda-Gonz\u00e1lez, M.A., Argelag\u00f3s-Palau, A., Fern\u00e1ndez-Chimeno, M., and Ramos-Castro, J. (2013, January 22\u201325). A comparison of heartbeat detectors for the seismocardiogram. Proceedings of the Computing in Cardiology 2013, Zaragoza, Spain."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Ferdinando, H., Sepp\u00e4l\u00e4, E., and Myllyl\u00e4, T. (2021). Discrete Wavelet Transforms-Based Analysis of Accelerometer Signals for Continuous Human Cardiac Monitoring. Appl. Sci., 11.","DOI":"10.3390\/app112412072"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"102793","DOI":"10.1016\/j.bspc.2021.102793","article-title":"Analyzing seismocardiographic approach for heart rate variability measurement","volume":"68","author":"Choudhary","year":"2021","journal-title":"Biomed. Signal. Process. Control."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"P07020","DOI":"10.1088\/1748-0221\/17\/07\/P07020","article-title":"Accurate simultaneous measurement of heartbeat and respiratory intervals using a smartphone","volume":"17","author":"Scarpetta","year":"2022","journal-title":"J. Instrum."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"2361","DOI":"10.1109\/TBME.2017.2648741","article-title":"A Hidden Markov Model for Seismocardiography","volume":"64","author":"Wahlstrom","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"2578","DOI":"10.1109\/JSEN.2019.2951068","article-title":"Towards Automatic and Fast Annotation of Seismocardiogram Signals Using Machine Learning","volume":"20","author":"Thakkar","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Chen, Y., Xu, W., Zhu, W., Ma, G., Chen, X., and Wang, L. (2021, January 20\u201322). Beat-to-beat heart rate detection based on seismocardiogram using BiLSTM network. Proceedings of the IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Shenyang, China.","DOI":"10.1109\/TrustCom53373.2021.00216"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Duraj, K.M., Sieci\u0144ski, S., Doniec, R.J., Piaseczna, N.J., Kostka, P.S., and Tkacz, E.J. (2022, January 11\u201315). Heartbeat detection in seismocardiograms with semantic segmentation. Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, UK.","DOI":"10.1109\/EMBC48229.2022.9871477"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"825918","DOI":"10.3389\/fphys.2022.825918","article-title":"Can Seismocardiogram Fiducial Points Be Used for the Routine Estimation of Cardiac Time Intervals in Cardiac Patients?","volume":"13","author":"Racca","year":"2022","journal-title":"Front. Physiol."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Centracchio, J., and Muto, V. (2022, January 17\u201318). Heartbeats localization in forcecardiography signals via template matching. Proceedings of the E-Health and Bioengineering Conference (EHB), Iasi, Romania.","DOI":"10.1109\/EHB55594.2022.9991505"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Shin, J.H., Choi, B.H., Lim, Y.G., Jeong, D.U., and Park, K.S. (2008, January 20\u201325). Automatic ballistocardiogram (BCG) beat detection using a template matching approach. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vancouver, BC, Canada.","DOI":"10.1109\/IEMBS.2008.4649363"},{"key":"ref_81","unstructured":"Chen, Y.H., Chen, H.H., Chen, T.C., and Chen, L.G. (September, January 30). Robust heart rate measurement with phonocardiogram by on-line template extraction and matching. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, MA, USA."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"750221","DOI":"10.3389\/fphys.2021.750221","article-title":"An Open-Access Database for the Evaluation of Cardio-Mechanical Signals from Patients with Valvular Heart Diseases","volume":"12","author":"Yang","year":"2021","journal-title":"Front. Physiol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"671","DOI":"10.21105\/joss.00671","article-title":"BioSigKit: A Matlab Toolbox and Interface for Analysis of BioSignals","volume":"3","author":"Sedghamiz","year":"2018","journal-title":"J. Open. Source Softw."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"307","DOI":"10.2307\/2987937","article-title":"Measurement in medicine: The analysis of method comparison studies","volume":"32","author":"Altman","year":"1983","journal-title":"Statistician"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"141","DOI":"10.11613\/BM.2015.015","article-title":"Understanding Bland Altman analysis","volume":"25","author":"Giavarina","year":"2015","journal-title":"Biochem. Med."},{"key":"ref_86","unstructured":"Ran, K. (2023, March 15). Bland-Altman and Correlation Plot, MATLAB Central File Exchange. Available online: https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/45049-bland-altman-and-correlation-plot."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4684\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:33:39Z","timestamp":1760124819000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/10\/4684"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,12]]},"references-count":86,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["s23104684"],"URL":"https:\/\/doi.org\/10.3390\/s23104684","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,12]]}}}