Trends in fetal monitoring through phonocardiography: Challenges and future directions

Adithya, Prashanth Chetlur; Sankar, Ravi; Moreno, Wilfrido; Hart, Stuart

doi:10.1016/j.bspc.2016.11.007

Cited by 78 publications

(43 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The other promising methods are fetal phonography (

f PCG

) [7,8,9] and fetal magnetocardiography (

f MCG

) [10,11,12]. While

f ECG

is based on recording the electrical activity of the fetal heart,

f PCG

deals with recording its mechanical (acoustical) activity, and the

f MCG

is a method that registers the associated magnetic fields of the fetal heart produced as a consequence of its electrical activity [8,9,13,14].…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Martínek

Kahánková

Nazeran

et al. 2017

Sensors

View full text Add to dashboard Cite

This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adaptive filters. The main criterion for optimal parameter selection was the Signal-to-Noise Ratio (SNR). We conducted experiments using signals supplied by the latest version of our LabVIEW-Based Multi-Channel Non-Invasive Abdominal Maternal-Fetal Electrocardiogram Signal Generator, which provides the flexibility and capability of modeling the principal distribution of maternal/fetal ECGs in the human body. Our novel algorithm enabled us to find the optimal settings of the adaptive filters based on maternal surface ECG electrode placements. The experimental results further confirmed the theoretical assumption that the optimal settings of these adaptive filters are dependent on the ECG electrode positions on the maternal body, and therefore, we were able to achieve far better results than without the use of optimization. These improvements in turn could lead to a more accurate detection of fetal hypoxia. Consequently, our approach could offer the potential to be used in clinical practice to establish recommendations for standard electrode placement and find the optimal adaptive filter settings for extracting high quality fetal ECG signals for further processing. Ultimately, diagnostic-grade fetal ECG signals would ensure the reliable detection of fetal hypoxia.

show abstract

“…The other promising methods are fetal phonography (

f PCG

) [7,8,9] and fetal magnetocardiography (

f MCG

) [10,11,12]. While

f ECG

is based on recording the electrical activity of the fetal heart,

f PCG

deals with recording its mechanical (acoustical) activity, and the

f MCG

is a method that registers the associated magnetic fields of the fetal heart produced as a consequence of its electrical activity [8,9,13,14].…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Martínek

Kahánková

Nazeran

et al. 2017

Sensors

View full text Add to dashboard Cite

show abstract

“…Initially FIR/IIR Filtering (Ginsburg et al, 1964; Talbert et al, 1986; Adithya et al, 2017) was used, which has low computational complexity yet high chance of failure to separate the desired fPCG components. FIR/IIR Filtering is suitable for pre-conditioning, e.g., 50 Hz notch filter.…”

Section: Introductionmentioning

confidence: 99%

“…Some heuristic methods such as spectral substraction (Kovacs et al, 2006; Ruffo et al, 2010; Adithya et al, 2017) provide some noise enhancement via the artifact attenuation implemented at low computational complexity, yet they are mainly useful in post processing for fPCG classification. Also, spectral subtraction (Chen et al, 2006; Adithya et al, 2017) works under stationary noise model and its performance is linked to the quality of noise estimation. Adaptive filtering (Goovaerts et al, 1991; Adithya et al, 2017) showed poor performance in fPCG extraction.…”

Section: Introductionmentioning

confidence: 99%

“…Also, spectral subtraction (Chen et al, 2006; Adithya et al, 2017) works under stationary noise model and its performance is linked to the quality of noise estimation. Adaptive filtering (Goovaerts et al, 1991; Adithya et al, 2017) showed poor performance in fPCG extraction. This could be improved if the maternal heart sounds (mHS) were first estimated and canceled using a multi-channel system.…”

Section: Introductionmentioning

confidence: 99%

“…This could be improved if the maternal heart sounds (mHS) were first estimated and canceled using a multi-channel system. Kalman filtering (Adithya et al, 2017) needs accurate reference signal, as it has high computational complexity. Wavelet Transform (Kosa et al, 2008; Kovacs et al, 2011; Fodor et al, 2012; Adithya et al, 2017; Koutsiana et al, 2017), showed good performance in de-nosing noisy fPCG and analyzing the fetal heart sounds (fHS), but it lacks the ability to finely de-noise the overlapped frequency components.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography

Ibrahim¹,

Awar

Balayah

et al. 2017

Front. Physiol.

View full text Add to dashboard Cite

The aim of this study is to investigate that fetal heart rates (fHR) extracted from fetal phonocardiography (fPCG) could convey similar information of fHR from cardiotocography (CTG). Four-channel fPCG sensors made of low cost (<$1) ceramic piezo vibration sensor within 3D-printed casings were used to collect abdominal phonogram signals from 20 pregnant mothers (>34 weeks of gestation). A novel multi-lag covariance matrix-based eigenvalue decomposition technique was used to separate maternal breathing, fetal heart sounds (fHS) and maternal heart sounds (mHS) from abdominal phonogram signals. Prior to the fHR estimation, the fPCG signals were denoised using a multi-resolution wavelet-based filter. The proposed source separation technique was first tested in separating sources from synthetically mixed signals and then on raw abdominal phonogram signals. fHR signals extracted from fPCG signals were validated using simultaneous recorded CTG-based fHR recordings.The experimental results have shown that the fHR derived from the acquired fPCG can be used to detect periods of acceleration and deceleration, which are critical indication of the fetus' well-being. Moreover, a comparative analysis demonstrated that fHRs from CTG and fPCG signals were in good agreement (Bland Altman plot has mean = −0.21 BPM and ±2 SD = ±3) with statistical significance (p < 0.001 and Spearman correlation coefficient ρ = 0.95). The study findings show that fHR estimated from fPCG could be a reliable substitute for fHR from the CTG, opening up the possibility of a low cost monitoring tool for fetal well-being.

show abstract

Stretchable Composite Acoustic Transducer for Wearable Monitoring of Vital Signs

Cotur

Kasimatis

Kaisti

et al. 2020

Adv Funct Materials

View full text Add to dashboard Cite

A highly flexible, stretchable, and mechanically robust low-cost soft composite consisting of silicone polymers and water (or hydrogels) is reported. When combined with conventional acoustic transducers, the materials reported enable high performance real-time monitoring of heart and respiratory patterns over layers of clothing (or furry skin of animals) without the need for direct contact with the skin. The approach enables an entirely new method of fabrication that involves encapsulation of water and hydrogels with silicones and exploits the ability of sound waves to travel through the body. The system proposed outperforms commercial, metal-based stethoscopes for the auscultation of the heart when worn over clothing and is less susceptible to motion artefacts. The system both with human and furry animal subjects (i.e., dogs), primarily focusing on monitoring the heart, is tested; however, initial results on monitoring breathing are also presented. This work is especially important because it is the first demonstration of a stretchable sensor that is suitable for use with furry animals and does not require shaving of the animal for data acquisition.

show abstract

Trends in fetal monitoring through phonocardiography: Challenges and future directions

Cited by 78 publications

References 49 publications

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography

Stretchable Composite Acoustic Transducer for Wearable Monitoring of Vital Signs

Contact Info

Product

Resources

About