Effects of acquisition device, sampling rate, and record length on kinocardiography during position-induced haemodynamic changes

Amin Hossein, Jérémy Rabineau, Damien Gorlier, Farhana Pinki, Philippe van de Borne, Antoine Nonclercq, Pierre-François Migeotte, Amin Hossein, Jérémy Rabineau, Damien Gorlier, Farhana Pinki, Philippe van de Borne, Antoine Nonclercq, Pierre-François Migeotte

Abstract

Background: Kinocardiography (KCG) is a promising new technique used to monitor cardiac mechanical function remotely. KCG is based on ballistocardiography (BCG) and seismocardiography (SCG), and measures 12 degrees-of-freedom (DOF) of body motion produced by myocardial contraction and blood flow through the cardiac chambers and major vessels.

Results: The integral of kinetic energy ([Formula: see text]) obtained from the linear and rotational SCG/BCG signals was computed over each dimension over the cardiac cycle, and used as a marker of cardiac mechanical function. We tested the hypotheses that KCG metrics can be acquired using different sensors, and at 50 Hz. We also tested the effect of record length on the ensemble average on which the metrics were computed. Twelve healthy males were tested in the supine, head-down tilt, and head-up tilt positions to expand the haemodynamic states on which the validation was performed.

Conclusions: KCG metrics computed on 50 Hz and 1 kHz SCG/BCG signals were very similar. Most of the metrics were highly similar when computed on different sensors, and with less than 5% of error when computed on record length longer than 60 s. These results suggest that KCG may be a robust and non-invasive method to monitor cardiac inotropic activity. Trial registration Clinicaltrials.gov, NCT03107351. Registered 11 April 2017, https://ichgcp.net/clinical-trials-registry/NCT03107351?term=NCT03107351&draw=2&rank=1 .

Keywords: Ballistocardiography; Cardiac contractility; Cardiac kinetic energy; Cardiac strength; Head down tilt; Head up tilt; Kinocardiography; Seismocardiography; Wearable monitoring.

Conflict of interest statement

A.H, P.F.M., D.G.: HeartKinetics minority shareholder. The other authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Bland–Altman Plot of the KCG metrics computed from Dev1 acquisitions at 1 kHz versus 50 Hz. The differences (Dev1 1 kHz–Dev1 50 Hz) are expressed as a percentage of the value on the axis, i.e., proportionally to the magnitude of measurements, are plotted as a function of the mean value of the two measures. a SCG iKLin; b SCG iKRot; c BCG iKLin; d BCG iKRot
Fig. 2
Fig. 2
Bland–Altman plot of the KCG metrics computed from the Dev1 versus the Dev2 acquisitions. The differences (Dev2–Dev1) expressed as a percentage of the value on the axis, i.e., proportionally to the magnitude of measurements, are plotted as a function of the mean value of the two measures. a SCG iKLin; b SCG iKRot; c BCG iKLin; d BCG iKRot
Fig. 3
Fig. 3
Differences expressed as a percentage of the value with 95% Confidence Interval (CI) of each KCG metric computed on several window lengths, compared to the metric computed on a 90 s window. a SCG iKLin; b SCG iKRot; c BCG iKLin; d BCG iKRot
Fig. 4
Fig. 4
KCG metrics measured during acute change in position, from supine to HDT to HUT. a SCG iKLin; b SCG iKRot; c BCG iKLin; d BCG iKRot. Data are plotted as median [Q1; Q3] *p < 0.005 †p < 0.0001
Fig. 5
Fig. 5
Experimental setup of different elements of Dev1 and Dev2 in 3 positions: (1) Supine, (2) HDT, and (3) HUT. a Dev1 ECG/ICG electrodes; b Dev1 PTG sensor (nasal thermistor); c Dev1 & Dev2 SCG sensors secured together on the sternum; d Dev1 & Dev2 BCG sensors secured together in the lumbar lordosis curvature; e Dev1 main unit (connection and amplification)
Fig. 6
Fig. 6
Differences expressed as a percentage of the value with 95% Confidence Interval (CI) of each KCG metric computed on several window length compared to the metric computed on a 90 s window for each position. a SCG iKLin; b SCG iKRot; c BCG iKRot; d BCG iKRot
Fig. 7
Fig. 7
Left column are temporal signal while right column are the Ensemble Average (EA) of its corresponding signal. From top to bottom: ECG, SCG KLin, SCG KRot, BCG KLin, and BCG KRot

References

    1. Hunt SA, et al. ACC/AHA guidelines for the evaluation and management of chronic heart failure in the adult: executive summary a report of the American college of cardiology/american heart association task force on practice guidelines (committee to revise the 1995 guidelines for the evaluation and management of heart failure): developed in collaboration with the international society for heart and lung transplantation; endorsed by the heart failure society of America. Circulation. 2001;104(24):2996–3007. doi: 10.1161/hc4901.102568.
    1. Inan OT, et al. Ballistocardiography and seismocardiography: a review of recent advances. IEEE J Biomed Health Inform. 2015;19(4):1414–1427. doi: 10.1109/JBHI.2014.2361732.
    1. Starr I. The relation of the ballistocardiogram to cardiac function. Am J Cardiol. 1958;2(6):737–747. doi: 10.1016/0002-9149(58)90271-6.
    1. Salerno DM, Zanetti J. Seismocardiography for monitoring changes in left ventricular function during ischemia. Chest. 1991;100(4):991–993. doi: 10.1378/chest.100.4.991.
    1. Inan OT, et al. Novel wearable seismocardiography and machine learning algorithms can assess clinical status of heart failure patients. Circ Heart Fail. 2018;11(1):e004313. doi: 10.1161/CIRCHEARTFAILURE.117.004313.
    1. Hossein A, et al. Accurate detection of dobutamine-induced haemodynamic changes by kino-cardiography: a randomised double-blind placebo-controlled validation study. Sci Rep. 2019;9(1):1–11. doi: 10.1038/s41598-019-46823-3.
    1. Aydemir VB, Fan J, Dowling S, Inan OT, Rehg JM, Klein L. Ballistocardiography for ambulatory detection and prediction of heart failure decompensation. J Card Fail. 2018;24(8):S116. doi: 10.1016/j.cardfail.2018.07.425.
    1. Taebi A, Solar BE, Bomar AJ, Sandler RH, Mansy HA. Recent advances in seismocardiography. Vibration. 2019;2(1):64–86. doi: 10.3390/vibration2010005.
    1. Morra S, et al. Modification of the mechanical cardiac performance during end-expiratory voluntary apnea recorded with ballistocardiography and seismocardiography. Physiol Meas. 2019;40(10):105005. doi: 10.1088/1361-6579/ab4a6a.
    1. Rabineau J, et al. Cardiovascular adaptation and countermeasure efficacy assessed by ballistocardiography and seismocardiography during 60 days of simulated microgravity in head-down bed rest. Sci Rep. 2020;10:1–31. doi: 10.1038/s41598-020-74150-5.
    1. Caiani EG et al. Effectiveness of high-intensity jump training countermeasure on mitral and aortic flow after 58-days head-down bed-rest assessed by phase-contrast MRI. In: Presented at the international astronautical congress, Bremen, Germany. 2018.
    1. Burger HC, Noordergraaf A. Physical basis of ballistocardiography. III. Am Heart J. 1956;51(2):179–185. doi: 10.1016/0002-8703(56)90079-5.
    1. Lejeune L, Caiani EG, Prisk GK, Migeotte PF. Evaluation of ensemble averaging methods in 3D ballistocardiography. In: Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf., vol. 2014; 2014. pp. 5176–5179. 10.1109/EMBC.2014.6944791.
    1. Blomqvist CG, Nixon JV, Johnson RL, Mitchell JH. Early cardiovascular adaptation to zero gravity simulated by head-down tilt. Acta Astronaut. 1980;7(4–5):543–553. doi: 10.1016/0094-5765(80)90043-0.
    1. Bundgaard-Nielsen M, Sørensen H, Dalsgaard M, Rasmussen P, Secher NH. Relationship between stroke volume, cardiac output and filling of the heart during tilt. Acta Anaesthesiol Scand. 2009;53(10):1324–1328. doi: 10.1111/j.1399-6576.2009.02062.x.
    1. Soames RW, Atha J. Three-dimensional ballistocardiographic responses to changes of posture. Clin Phys Physiol Meas. 1982;3(3):169–177. doi: 10.1088/0143-0815/3/3/001.
    1. Di Rienzo M, et al. Wearable seismocardiography: Towards a beat-by-beat assessment of cardiac mechanics in ambulant subjects. Auton Neurosci. 2013;178(1):50–59. doi: 10.1016/j.autneu.2013.04.005.
    1. Jerosch-Herold M, et al. The seismocardiogram as magnetic-field-compatible alternative to the electrocardiogram for cardiac stress monitoring. Int J Card Imaging. 1999;15(6):523–531. doi: 10.1023/A:1006364518204.
    1. Zanetti JM, Tavakolian K (2013) Seismocardiography: past, present and future. In: 2013 35th annual international conference of the IEEE engineering in medicine and biology society (EMBC); 2013. pp. 7004–7. 10.1109/EMBC.2013.6611170.
    1. Marcus FI, et al. Accelerometer-derived time intervals during various pacing modes in patients with biventricular pacemakers: comparison with normals. Pacing Clin Electrophysiol PACE. 2007;30(12):1476–1481. doi: 10.1111/j.1540-8159.2007.00894.x.
    1. Castiglioni P, Faini A, Parati G, Di Rienzo M. Wearable seismocardiography; 2007. pp. 3954–3957. 10.1109/IEMBS.2007.4353199
    1. Cai H, Xu B, Jiang L, Vasilakos AV. IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. 2017;4(1):75–87. doi: 10.1109/JIOT.2016.2619369.
    1. JafariTadi M, et al. Gyrocardiography: a new non-invasive monitoring method for the assessment of cardiac mechanics and the estimation of hemodynamic variables. Sci Rep. 2017;7(1):6823. doi: 10.1038/s41598-017-07248-y.
    1. Prisk GK, Verhaeghe S, Padeken D, Hamacher H, Paiva M. Three-dimensional ballistocardiography and respiratory motion in sustained microgravity. Aviat Sp Environ Med. 2001;72(12):1067–1074.
    1. Inan OT, Etemadi M, Wiard RM, Giovangrandi L, Kovacs GTA. Robust ballistocardiogram acquisition for home monitoring. Physiol Meas. 2009;30(2):169–185. doi: 10.1088/0967-3334/30/2/005.
    1. Prisk GK, Migeotte P-F. Physiological insights from gravity-free ballistocardiography. In: Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf., vol. 2013; 2013. pp. 7282–85. 10.1109/EMBC.2013.6611239
    1. Fortney SM, Schneider VS, Greenleaf JE. The physiology of bed rest. In: Comprehensive physiology, American Cancer Society; 2011. pp. 889–939.
    1. Butler GC, Xing HC, Hughson RL. Cardiovascular response to 4 hours of 6 degrees head-down tilt or of 30 degrees head-up tilt bed rest. Aviat Sp Environ Med. 1990;61(3):240–246.
    1. Gaffney FA, Nixon JV, Karlsson ES, Campbell W, Dowdey ABC, Blomqvist CG. Cardiovascular deconditioning produced by 20 hours of bedrest with head-down tilt (−5°) in middle-aged healthy men. Am J Cardiol. 1985;56(10):634–638. doi: 10.1016/0002-9149(85)91025-2.
    1. Hurwitz BE, Shyu L, Reddy SP, Schneiderman N, Nagel JH. Coherent ensemble averaging techniques for impedance cardiography. In: [1990] Proceedings. Third annual IEEE symposium on computer-based medical systems; 1990. pp. 228–35. 10.1109/CBMSYS.1990.109403.
    1. Frey MA, Tomaselli CM, Hoffler WG. Cardiovascular responses to postural changes: differences with age for women and men. J Clin Pharmacol. 1994;34(5):394–402. doi: 10.1002/j.1552-4604.1994.tb04979.x.
    1. Iwasaki K-I, Zhang R, Zuckerman JH, Pawelczyk JA, Levine BD. Effect of head-down-tilt bed rest and hypovolemia on dynamic regulation of heart rate and blood pressure. Am J Physiol-Regul Integr Comp Physiol. 2000;279(6):R2189–R2199. doi: 10.1152/ajpregu.2000.279.6.R2189.
    1. Patel K, et al. Effect of postural changes on cardiovascular parameters across gender. Medicine (Baltimore) 2016;95(28):e4149. doi: 10.1097/MD.0000000000004149.
    1. Cao X, Wang J, Zhang X, Tang J. A ballistocardiogram measurement system for home monitoring: design, performance, and evaluation. Chin Sci Bull. 2014;59(23):2909–2917. doi: 10.1007/s11434-014-0462-8.
    1. Harrison WK, Smith E. Sex differences in cardiac function of a group of young adults. Cardiology. 1980;66(2):74–84. doi: 10.1159/000170853.
    1. Tavakolian K, Vaseghi A, Kaminska B. Improvement of ballistocardiogram processing by inclusion of respiration information. Physiol Meas. 2008;29(7):771–781. doi: 10.1088/0967-3334/29/7/006.
    1. Baevsky RM, et al. Autonomic function testing on board the ISS—update on ‘Pneumocard’. Acta Astronaut. 2007;61(7):672–675. doi: 10.1016/j.actaastro.2006.11.017.
    1. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985;32(3):230–236. doi: 10.1109/TBME.1985.325532.
    1. Matsuo A, Ozawa H, Goda K, Fukunaga T. Moment of inertia of whole body using an oscillating table in adolescent boys. J Biomech. 1995;28(2):219–223. doi: 10.1016/0021-9290(94)00055-9.
    1. Giavarina D. Understanding bland altman analysis. Biochem Med. 2015;25(2):141–151. doi: 10.11613/BM.2015.015.
    1. Wolfinger R, O’connell M. Generalized linear mixed models a pseudo-likelihood approach. J Stat Comput Simul. 1993;48(3–4):233–243. doi: 10.1080/00949659308811554.

Source: PubMed

Szponzorok és közreműködők

Egészségi állapot

Kábítószer-beavatkozások

3
Iratkozz fel