scholarly journals Soft Bioelectronics: A Chest-Laminated Ultrathin and Stretchable E-Tattoo for the Measurement of Electrocardiogram, Seismocardiogram, and Cardiac Time Intervals (Adv. Sci. 14/2019)

2019 ◽  
Vol 6 (14) ◽  
pp. 1970082 ◽  
Author(s):  
Taewoo Ha ◽  
Jason Tran ◽  
Siyi Liu ◽  
Hongwoo Jang ◽  
Hyoyoung Jeong ◽  
...  
Keyword(s):  
Time Intervals ◽  
Cardiac Time Intervals

scholarly journals Comparison of yoga and walking-exercise on cardiac time intervals as a measure of cardiac function in elderly with increased pulse pressure

2017 ◽  
Vol 69 (4) ◽  
pp. 485-490 ◽  
Author(s):  
Satish Gurunathrao Patil ◽  
Shankargouda S. Patil ◽  
Manjunatha R. Aithala ◽  
Kusal Kanti Das
Keyword(s):  
Cardiac Function ◽  
Pulse Pressure ◽  
Time Intervals ◽  
Cardiac Time Intervals ◽  
Walking Exercise

scholarly journals Measurement of cardiac function by cardiac time intervals, applicability in normal pregnancy and twin-to-twin transfusion syndrome

2018 ◽  
Vol 17 (3) ◽  
pp. 129-137
Author(s):  
S. J. Eschbach ◽  
M. Gijtenbeek ◽  
N. van Geloven ◽  
D. Oepkes ◽  
M. C. Haak
Keyword(s):  
Cardiac Function ◽  
Normal Pregnancy ◽  
Time Intervals ◽  
Cardiac Time Intervals

scholarly journals A systematic review of cardiac time intervals utilising non-invasive fetal electrocardiogram in normal fetuses

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Vinayak Smith ◽  
Senthuran Arunthavanathan ◽  
Amrish Nair ◽  
Diane Ansermet ◽  
Fabricio da Silva Costa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Time Intervals ◽  
Fetal Electrocardiogram ◽  
Non Invasive ◽  
Cardiac Time Intervals

Fetal cardiac time intervals in healthy pregnancies – an observational study by fetal ECG (Monica Healthcare System)

2018 ◽  
Vol 46 (6) ◽  
pp. 587-592 ◽  
Author(s):  
Annette Wacker-Gussmann ◽  
Cordula Plankl ◽  
Maria Sewald ◽  
Karl-Theo Maria Schneider ◽  
Renate Oberhoffer ◽  
...  
Keyword(s):  
Healthcare System ◽  
P Wave ◽  
Signal Loss ◽  
Qrs Complex ◽  
Time Intervals ◽  
Cardiac Time Intervals ◽  
Fetal Magnetocardiography ◽  
Fetal Ecg ◽  
Global Signal ◽  
Gestational Week

Abstract Background: Fetal electrocardiogram (fECG) can detect QRS signals in fetuses from as early as 17 weeks’ gestation; however, the technique is limited by the minute size of the fetal signal relative to noise ratio. The aim of this study was to evaluate precise fetal cardiac time intervals (fCTIs) with the help of a newly developed fetal ECG device (Monica Healthcare System). Methods: In a prospective manner we included 15–18 healthy fetuses per gestational week from 32 weeks onwards. The small and wearable Monica AN24 monitoring system uses standard ECG electrodes placed on the maternal abdomen to monitor fECG, maternal ECG and uterine electromyogram (EMG). Fetal CTIs were estimated on 1000 averaged fetal heart beats. Detection was deemed successful if there was a global signal loss of less than 30% and an analysis loss of the Monica AN24 signal separation analysis of less than 50%. Fetal CTIs were determined visually by three independent measurements. Results: A total of 149 fECGs were performed. After applying the requirements 117 fECGs remained for CTI analysis. While the onset and termination of P-wave and QRS-complex could be easily identified in most ECG patterns (97% for P-wave, PQ and PR interval and 100% for QRS-complex), the T-wave was detectable in only 41% of the datasets. The CTI results were comparable to other available methods such as fetal magnetocardiography (fMCG). Conclusions: Although limited and preclinical in its use, fECG (Monica Healthcare System) could be an additional useful tool to detect precise fCTIs from 32 weeks’ gestational age onwards.

Cardiac time intervals derived by magnetocardiography in fetuses exposed to pregnancy hypertension syndromes

2016 ◽  
Vol 36 (8) ◽  
pp. 643-648 ◽  
Author(s):  
E H Bolin ◽  
E R Siegel ◽  
H Eswaran ◽  
C L Lowery ◽  
D Zakaria ◽  
...  
Keyword(s):  
Time Intervals ◽  
Pregnancy Hypertension ◽  
Cardiac Time Intervals

scholarly journals Assessment of cardiac time intervals by wavelet transform of the impedance cardiogram

2016 ◽  
Vol 24 (s2) ◽  
pp. S803-S809 ◽  
Author(s):  
Rodion Stepanov ◽  
Sergey Podtaev ◽  
Andrey Dumler ◽  
Sergey Chugainov
Keyword(s):  
Wavelet Transform ◽  
Time Intervals ◽  
Cardiac Time Intervals ◽  
Impedance Cardiogram
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