Non-invasive fetal monitoring using electrocardiography and phonocardiography: A preliminary study

Gobillot, S.; Fontecave-Jallon, Julie; Equy, V.; Rivet, Bertrand; Guméry, Pierre-Yves; Hoffmann, P.

doi:10.1016/j.jogoh.2018.08.009

Cited by 18 publications

(16 citation statements)

References 9 publications

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“…Ten of the 43 studies were from the UK [25][26][27]35,[37][38][39]49,50,55], 22 from other European countries [24,[28][29][30][31][32][33]36,40,[42][43][44]48,[51][52][53][54]56,57,61,64,65], five from Japan [41,59,60,62,63], one from India [45], one from Australia [66], three from the United States of America (USA) [46,47,58], and one study from both the Netherlands and USA [34]. The included studies were heterogeneous, they had a median sample size of 34.5 participants (range 1-657) and a median number of recordings of 63 (range 1-657).…”

Section: Resultsmentioning

confidence: 99%

“…Two studies used only fPCG devices, of which one was named the Fetaphon-2000 [42] and the other was unnamed [45]. Three studies investigated both fECG and fPCG devices, all of which were unnamed [32,37,41]. The remaining study used a combined fECG/fPCG device named the Invu system [46].…”

Section: Fhr Devicesmentioning

confidence: 99%

“…Although all devices used different types and quantities of electrodes, ranging from 2-16 electrodes, all devices required a reference electrode. In addition, the arrangement of the sensors varied; all electrodes were placed abdominally, generally around the umbilicus, with the exception of four devices [32,35,41,43] which required additional thoracic electrodes. A variety of signal processing approaches were used; the most frequently described process involved the removal of the mECG trace from the device signals.…”

Section: Technical Descriptionmentioning

confidence: 99%

“…All the devices used between one and four abdominal phonocardiographic sensors, and two studies stated a specific placement of the sensors-either directly over the fetal heart [37] or in a predetermined abdominal position [41]. Furthermore, two studies securely attached the sensors to the maternal abdomen using either belts [32] or a 3-D printed plastic harness [41]. All fPCG devices utilised different signal processing methods.…”

Section: Technical Descriptionmentioning

confidence: 99%

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A systematic scoping review to identify the design and assess the performance of devices for antenatal continuous fetal monitoring

et al. 2020

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Background Antepartum fetal monitoring aims to assess fetal development and wellbeing throughout pregnancy. Current methods utilised in clinical practice are intermittent and only provide a ‘snapshot’ of fetal wellbeing, thus key signs of fetal demise could be missed. Continuous fetal monitoring (CFM) offers the potential to alleviate these issues by providing an objective and longitudinal overview of fetal status. Various CFM devices exist within literature; this review planned to provide a systematic overview of these devices, and specifically aimed to map the devices’ design, performance and factors which affect this, whilst determining any gaps in development. Methods A systematic search was conducted using MEDLINE, EMBASE, CINAHL, EMCARE, BNI, Cochrane Library, Web of Science and Pubmed databases. Following the deletion of duplicates, the articles’ titles and abstracts were screened and suitable papers underwent a full-text assessment prior to inclusion in the review by two independent assessors. Results The literature searches generated 4,885 hits from which 43 studies were included in the review. Twenty-four different devices were identified utilising four suitable CFM technologies: fetal electrocardiography, fetal phonocardiography, accelerometry and fetal vectorcardiography. The devices adopted various designs and signal processing methods. There was no common means of device performance assessment between different devices, which limited comparison. The device performance of fetal electrocardiography was reduced between 28 to 36 weeks’ gestation and during high levels of maternal movement, and increased during night-time rest. Other factors, including maternal body mass index, fetal position, recording location, uterine activity, amniotic fluid index, number of fetuses and smoking status, as well as factors which affected alternative technologies had equivocal effects and require further investigation. Conclusions A variety of CFM devices have been developed, however no specific approach or design appears to be advantageous due to high levels of inter-device and intra-device variability.

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Section: Resultsmentioning

confidence: 99%

Section: Fhr Devicesmentioning

confidence: 99%

Section: Technical Descriptionmentioning

confidence: 99%

Section: Technical Descriptionmentioning

confidence: 99%

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A systematic scoping review to identify the design and assess the performance of devices for antenatal continuous fetal monitoring

et al. 2020

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“…Li et al [38] showed that this task can be achieved by IVA, in a suboptimal "mismodeling" approach [30]. Given the ongoing interest in non-invasive methods for fetal monitoring, in multi-subject and multimodal setups (see, e.g., [39] and references therein), JISA is a potentially useful candidate to address some of these challenges. Our preliminary experimental results on the ECG data of [32], using an approach similar to that in [38], indicate that the fetal electrocardiogram (FECG) can be extracted to a reasonable extent even by the simplest JISA model that we consider in this paper, using the algorithm in [11].…”

Section: Introductionmentioning

confidence: 99%

Joint Independent Subspace Analysis: Uniqueness and Identifiability

Lahat¹,

Jutten

2019

IEEE Trans. Signal Process.

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This paper deals with the identifiability of joint independent subspace analysis (JISA). JISA is a recently-proposed framework that subsumes independent vector analysis (IVA) and independent subspace analysis (ISA). Each underlying mixture can be regarded as a dataset; therefore, JISA can be used for data fusion. In this paper, we assume that each dataset is an overdetermined mixture of several multivariate Gaussian processes, each of which has independent and identically distributed samples. This setup is not identifiable when each mixture is considered individually. Given these assumptions, JISA can be restated as coupled block diagonalization (CBD) of its correlation matrices. Hence, JISA identifiability is tantamount to CBD uniqueness. In this work, we provide necessary and sufficient conditions for uniqueness and identifiability of JISA and CBD. Our analysis is based on characterizing all the cases in which the Fisher information matrix is singular. We prove that non-identifiability may occur only due to pairs of underlying random processes with the same dimension. Our results provide further evidence that irreducibility has a central role in the uniqueness analysis of block-based decompositions. Our contribution extends previous results on the uniqueness and identifiability of ISA, IVA, coupled matrix and tensor decompositions. We provide examples to illustrate our results. Index Terms-Blind source separation, block decompositions, coupled decompositions, data fusion, identifiability, independent vector analysis, uniqueness.Dana Lahat received the Ph.D. degree in electrical engineering from Tel Aviv University, Tel Aviv, Israel, in 2013. She is currently a Postdoctoral Researcher with the Toulouse

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Design and implementation of remote PCG (phonocardiography) system using audio exchange bus

Vashishth,

Garg,

Raj

2023

Int J Interact Des Manuf

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Non-invasive fetal monitoring using electrocardiography and phonocardiography: A preliminary study

Cited by 18 publications

References 9 publications

A systematic scoping review to identify the design and assess the performance of devices for antenatal continuous fetal monitoring

A systematic scoping review to identify the design and assess the performance of devices for antenatal continuous fetal monitoring

Joint Independent Subspace Analysis: Uniqueness and Identifiability

Design and implementation of remote PCG (phonocardiography) system using audio exchange bus

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