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Autocorrelated Differential Algorithm for Real-time Seismocardiography Analysis

Yannick DrMello, James Skoric, Shicheng Xu, Megan Akhras, Philip J. R. Roche, Michel Lortie, Stephane Gagnon, David V. Plant
2019 IEEE Sensors Journal  
The versatility of the ADA was investigated in two contexts: physical exertion and heart rate variability.  ...  The ADA utilized temporal variations, windowing, and autocorrelation to produce physiological measurements corresponding to heart rate (HR), and left ventricular ejection time, and estimations of respiration  ...  factor to heart rate variability (HRV) [14] - [17] .  ... 
doi:10.1109/jsen.2019.2903449 fatcat:3zcwd7j4w5bfdhtiditeczlxd4

Ballistocardiography and Seismocardiography: A Review of Recent Advances

Omer T. Inan, Pierre-Francois Migeotte, Kwang-Suk Park, Mozziyar Etemadi, Kouhyar Tavakolian, Ramon Casanella, John Zanetti, Jens Tank, Irina Funtova, G. Kim Prisk, Marco Di Rienzo
2015 IEEE journal of biomedical and health informatics  
Based on cal-307 culated heart rate variability (HRV) parameters, they achieved driver's seat in a car to measure the BCG for automatically 353 monitoring driver fitness [62] .  ...  rate; thus, awakening epochs can 313 be detected based on HRV parameters.  ... 
doi:10.1109/jbhi.2014.2361732 pmid:25312966 fatcat:wny6ndbnovhb5i5ft3kjqcl224

Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography

D'Mello, Skoric, Xu, Roche, Lortie, Gagnon, Plant
2019 Sensors  
We have developed a real-time algorithm for heart rate monitoring and beat detection implemented in a custom-built, affordable system.  ...  The correlation between the two measurements had r2 coefficients of 0.9783 and 0.9982 for normal (averaged) and instantaneous (beat identification) heart rates, respectively.  ...  However, a known limitation of autocorrelation-based algorithms is effective signal averaging that limits heart rate variability (HRV) detection.  ... 
doi:10.3390/s19163472 pmid:31398948 pmcid:PMC6719139 fatcat:npomcjyyqjh4zjyl2lvjvja4ai

A System for Seismocardiography-Based Identification of Quiescent Heart Phases: Implications for Cardiac Imaging

C. A. Wick, Jin-Jyh Su, J. H. McClellan, O. Brand, P. T. Bhatti, A. L. Buice, A. E. Stillman, Xiangyang Tang, Srini Tridandapani
2012 IEEE Transactions on Information Technology in Biomedicine  
This position was found to vary for different heart rates and between two human subjects.  ...  The device was used to study the variability between EKG and SCG and characterize the relationship between the mechanical and electrical activity of the heart.  ...  The sliding window length was chosen to be 1.33 times the estimated average cardiac cycle length to ensure that it covered at least one cardiac cycle accounting for heart rate variability (HRV).  ... 
doi:10.1109/titb.2012.2198071 pmid:22581141 pmcid:PMC3713802 fatcat:edv4vnl2arep3gq2fcenjaj4qm

Modification of the mechanical cardiac performance during end-expiratory voluntary apnea recorded with ballistocardiography and seismocardiography

Sofia Morra, Amin Hossein, Damien Gorlier, Jérémy Rabineau, Martin Chaumont, Pierre-François Migeotte, Philippe van de Borne
2019 Physiological Measurement  
The current study has not considered the heart rate variability (HRV) analysis extracted from the BCG and how it may be influenced by the apnea.  ...  Categorical variables are presented as counts and percentages.  ...  Data are presented as mean (±SEM). iK, integral of kinetic energy; SCG, seismocardiography; BCG, ballistocardiography. AQ7  ... 
doi:10.1088/1361-6579/ab4a6a pmid:31579047 fatcat:h5mikzyokbfdhpgh36ym6amuhi

Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications

Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz
2020 Sensors  
rate estimation, heart rate variability analysis, hemodynamics analysis, and classification of various cardiac diseases.  ...  Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of the  ...  Another application of gyrocardiography to estimate heart rate was presented in the study conducted by Yang et al. in 2019 on the fetal heart rate (FHR) estimation acquired by a fetal cardiotocography  ... 
doi:10.3390/s20226675 pmid:33266401 fatcat:meldvfcobvdjvoshwtaxmvyez4

Detection and analysis of pulse waves during sleep via wrist-worn actigraphy

Johannes Zschocke, Maria Kluge, Luise Pelikan, Antonia Graf, Martin Glos, Alexander Müller, Rafael Mikolajczyk, Ronny P. Bartsch, Thomas Penzel, Jan W. Kantelhardt, Tomohiko Ai
2019 PLoS ONE  
Another paper from the same group reported that heart rate can be most reliably estimated Table 4 . Comparison of heart rate and HRV parameters from RRI and PWI.  ...  The x axis, pointing towards the hand, is only quite rarely selected. Table 4 compares heart rates and two standard HRV parameters [17] across all three steps of our PWI-RRI matching procedure.  ... 
doi:10.1371/journal.pone.0226843 pmid:31891612 pmcid:PMC6938353 fatcat:xpg2e3kecbhpzijvcbke4sks2y

Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography

Zuhair Iftikhar, Olli Lahdenoja, Mojtaba Jafari Tadi, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
2018 Scientific Reports  
European society of cardiology (ESC) report in 2012 also estimates 4 million death in Europe due to CVD, causing 40% of all death in European Union (EU) 2 .  ...  Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques.  ...  Heart rate (HR) is estimated as MEDIAN(RR k:1−8 ). Heart Rate Variability. The first set of generated features consists of heart rate (HR) and HRV indexes in time-domain.  ... 
doi:10.1038/s41598-018-27683-9 pmid:29921933 pmcid:PMC6008477 fatcat:sczl2km3k5bsxgry5id5h6hkbe

A method to quantify autonomic nervous system function in healthy, able-bodied individuals

Shubham Debnath, Todd J. Levy, Mayer Bellehsen, Rebecca M. Schwartz, Douglas P. Barnaby, Stavros Zanos, Bruce T. Volpe, Theodoros P. Zanos
2021 Bioelectronic Medicine  
Heart rate, heart rate variability, mean arterial pressure, electrodermal activity, and pupil diameter responses to the perturbations were extracted, and averages across participants were computed.  ...  Calculated signals in the lower panel include heart rate from the electrocardiogram, heart rate variability (RMSSD) from interbeat intervals, and the mean arterial pressure Fig. 4 4 Fig.4Average heart  ...  While much attention has focused on measuring heart rate variability (HRV) as a proxy for vagal tone (Akselrod et al., 1981; Beckers et al., 2001; Ducla-Soares et al., 2007; Mainardi, 2009; Pagani et  ... 
doi:10.1186/s42234-021-00075-7 pmid:34446089 pmcid:PMC8394599 fatcat:yosal4gxabeflhk3xbtfqxtwlq

Innovative Monitoring Technology: Are We Ready for the Future?

Ashish K. Khanna, Roman Schumann
2021 ASA Monitor  
A chest patch can assess heartrate and variability (HR, HRV) and respiratory rate (RR). A novel bio-impedance necklace includes these three parameters and can add thoracic fluid content assessment.  ...  the latter being based on seismocardiography, a measure of chest vibration from heart beats (Adv Sci (Weinh) 2019;6:1900290).  ... 
doi:10.1097/01.asm.0000754248.12253.d7 fatcat:oqipe42yo5a75bf22wpzux4mvu

Enabling the assessment of trauma-induced hemorrhage via smart wearable systems

Jonathan Zia, Jacob Kimball, Christopher Rolfes, Jin-Oh Hahn, Omer T. Inan
2020 Science Advances  
Ultimately, high-level features of cardiomechanical function were shown to strongly predict progression toward cardiovascular collapse and used to estimate BVS with a median error of 15.17 and 18.17% for  ...  Specif ically, BVS was calculated via BVS = %BVL Feature name Sensing system Heart rate (HR) Both Time domain heart rate variability (HRV) Both Frequency domain (spectral) HRV Both Poincaré  ...  Characterizing the conduction of cardiac action potentials, the ECG has been extensively used to glean insight into autonomic control of the heart via analysis of HR variability (HRV) (5) .  ... 
doi:10.1126/sciadv.abb1708 pmid:32766449 pmcid:PMC7375804 fatcat:nwtdqhnzazacvidr2ktuvwjvjy

Smart Wearables for Cardiac Monitoring—Real-World Use Beyond Atrial Fibrillation

David Duncker, Wern Yew Ding, Susan Etheridge, Peter A. Noseworthy, Christian Veltmann, Xiaoxi Yao, T. Jared Bunch, Dhiraj Gupta
2021 Sensors  
Implementation in other patient cohorts, such as ST-elevation myocardial infarction (STEMI), heart failure or sleep apnea, is feasible and expanding.  ...  Heart rate variability Analysis and QT Measurement Other applications of wearables beyond the detection of cardiac arrhythmias are heart rate variability (HRV) analysis and QTc measurement.  ...  Due to the vulnerability of the PPG towards motion heart rate, measurement and monitoring should focus on resting heart rate, which shows the best correlation with the ECG gold standard.  ... 
doi:10.3390/s21072539 pmid:33916371 pmcid:PMC8038592 fatcat:cemarqjshvcdjbhj4umawvdcgy

The Concept of Advanced Multi-Sensor Monitoring of Human Stress

Erik Vavrinsky, Viera Stopjakova, Martin Kopani, Helena Kosnacova
2021 Sensors  
The results will be obtained from several physiological variables including electrodermal activity, heart rate and respiration, body temperature, blood pressure and others.  ...  All these variables will be measured using a coherent multi-sensors device.  ...  Under stress, the heart rate is increased [78, 124] . Heart rate variability (HRV) is derived from HR. Actually, it is a measure of the variation in time between each heartbeat [125, 126] .  ... 
doi:10.3390/s21103499 pmid:34067895 pmcid:PMC8157129 fatcat:sxlhogcqenerzgg6kidjdnujvq

Cardiac monitoring of dogs via smartphone mechanocardiography: a feasibility study

Olli Lahdenoja, Tero Hurnanen, Matti Kaisti, Juho Koskinen, Jarno Tuominen, Matti Vähä-Heikkilä, Laura Parikka, Maria Wiberg, Tero Koivisto, Mikko Pänkäälä
2019 BioMedical Engineering OnLine  
Here, we study another application of the accelerometers (and gyroscopes)-seismocardiography (SCG) and gyrocardiography (GCG)-to monitor the dog's heart.  ...  rate (HR) analysis (each signal with a duration of 1 min).  ...  An another application which we did not consider in this work is heart rate variability (HRV) estimation. In addition to HR, HRV could be a potential indicator of dog's wellness [4] .  ... 
doi:10.1186/s12938-019-0667-9 fatcat:oyfborzlubclrbuy5uabymavdy

Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms

Mojtaba Jafari Tadi, Saeed Mehrang, Matti Kaisti, Olli Lahdenoja, Tero Hurnanen, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Timo Knuutila, Eero Lehtonen (+2 others)
2019 IEEE Sensors Journal  
Early diagnosis of AFib is a key step in the prevention of stroke and heart failure.  ...  In this paper, we present a comprehensive time-frequency pattern analysis approach for automated detection of AFib from smartphone-derived seismocardiography (SCG) and gyrocardiography (GCG) signals.  ...  variability (HRV), the changes in the beat-to-beat heart rate, is a key indicator of the cardiac rhythm status [37] .  ... 
doi:10.1109/jsen.2018.2882874 fatcat:2625v4e25rgjzpeah7obcdhtra
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