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Barnova K, Kahankova R, Jaros R, Litschmannova M, Martinek R. A comparative study of single-channel signal processing methods in fetal phonocardiography. PLoS One 2022; 17:e0269884. [PMID: 35984866 PMCID: PMC9390939 DOI: 10.1371/journal.pone.0269884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/29/2022] [Indexed: 11/18/2022] Open
Abstract
Fetal phonocardiography is a non-invasive, completely passive and low-cost method based on sensing acoustic signals from the maternal abdomen. However, different types of interference are sensed along with the desired fetal phonocardiography. This study focuses on the comparison of fetal phonocardiography filtering using eight algorithms: Savitzky-Golay filter, finite impulse response filter, adaptive wavelet transform, maximal overlap discrete wavelet transform, variational mode decomposition, empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. The effectiveness of those methods was tested on four types of interference (maternal sounds, movement artifacts, Gaussian noise, and ambient noise) and eleven combinations of these disturbances. The dataset was created using two synthetic records r01 and r02, where the record r02 was loaded with higher levels of interference than the record r01. The evaluation was performed using the objective parameters such as accuracy of the detection of S1 and S2 sounds, signal-to-noise ratio improvement, and mean error of heart interval measurement. According to all parameters, the best results were achieved using the complete ensemble empirical mode decomposition with adaptive noise method with average values of accuracy = 91.53% in the detection of S1 and accuracy = 68.89% in the detection of S2. The average value of signal-to-noise ratio improvement achieved by complete ensemble empirical mode decomposition with adaptive noise method was 9.75 dB and the average value of the mean error of heart interval measurement was 3.27 ms.
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Affiliation(s)
- Katerina Barnova
- Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czechia
| | - Radana Kahankova
- Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czechia
| | - Rene Jaros
- Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czechia
- * E-mail:
| | - Martina Litschmannova
- Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czechia
| | - Radek Martinek
- Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, Ostrava, Czechia
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Zahmatkeshan M, Zakerabasali S, Farjam M, Gholampour Y, Seraji M, Yazdani A. The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review. J Med Life 2021; 14:131-141. [PMID: 34104235 PMCID: PMC8169150 DOI: 10.25122/jml-2020-0163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 04/02/2021] [Indexed: 11/23/2022] Open
Abstract
This study attempted to review the evidence for or against the effectiveness of mobile health (m-health) interventions on health outcomes improvement and/or gestational diabetes mellitus (GDM) management. PubMed, Web of Science, Scopus, and Embase databases were searched from 2000 to 10 July 2018 to find studies investigating the effect of m-health on GDM management. After removing duplications, a total of 27 articles met our defined inclusion criteria. m-health interventions were implemented by smartphone, without referring to its type, in 26% (7/27) of selected studies, short message service (SMS) in 14.9% (4/27), mobile-based applications in 33.3% (9/27), telemedicine-based on smartphones in 18.5% (5/27), and SMS reminder system in 7.1% (2/27). Most of the included studies (n=23) supported the effectiveness of m-health interventions on GDM management and 14.3% (n=4) reported no association between m-health interventions and pregnancy outcomes. Based on our findings, m-health interventions could enhance GDM patients' pregnancy outcomes. A majority of the included studies suggested positive outcomes. M-health can be one of the most prominent technologies for the management of GDM.
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Affiliation(s)
- Maryam Zahmatkeshan
- Noncommunicable Diseases Research Center, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Somayyeh Zakerabasali
- Department of Health Information Management, Health Human Resources Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mojtaba Farjam
- Noncommunicable Diseases Research Center, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
- Clinical Research Development Unit, Valie-Asr Hospital, Fasa University of Medical Sciences, Fasa, Iran
| | | | - Maryam Seraji
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Azita Yazdani
- Department of Health Information Management, Health Human Resources Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
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Abstract
Telemedicine is an important modality of care delivery in the twenty-first century and has many applications for the obstetric population. Existing research has shown the clinical efficacy and improved patient satisfaction of many telemedicine platforms in obstetrics. Telemedicine has the potential to reduce racial and geographic disparities in pregnancy care, but more research is necessary to inform best practices. Developing cost-effective telemedicine programs and establishing health care policy that standardizes insurance reimbursement are some of the most important steps toward scaling up telemedicine offerings for obstetric patients in the United States.
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Affiliation(s)
- Adina R Kern-Goldberger
- Department of Obstetrics & Gynecology, Maternal Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3400 Spruce Street, 2nd Floor Silverstein Building, Philadelphia, PA 19146, USA
| | - Sindhu K Srinivas
- Department of Obstetrics & Gynecology, Maternal Child Health Research Center, University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, 3400 Spruce Street, 2nd Floor Silverstein Building, Philadelphia, PA 19146, USA.
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Gyselaers W, Lanssens D, Perry H, Khalil A. Mobile Health Applications for Prenatal Assessment and Monitoring. Curr Pharm Des 2020; 25:615-623. [PMID: 30894100 DOI: 10.2174/1381612825666190320140659] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/18/2019] [Indexed: 02/03/2023]
Abstract
BACKGROUND A mobile health application is an exciting, fast-paced domain that is likely to improve prenatal care. METHODS In this narrative review, we summarise the use of mobile health applications in this setting with a special emphasis on both the benefits of remote monitoring devices and the potential pitfalls of their use, highlighting the need for robust regulations and guidelines before their widespread introduction into prenatal care. RESULTS Remote monitoring devices for four areas of prenatal care are reported: (1) cardio-tocography; (2) blood glucose levels; (3) blood pressure; and (4) prenatal ultrasound. The majority of publications are pilot projects on remote consultation, education, coaching, screening, monitoring and selective booking, mostly reporting potential medical and/or economic benefits by mobile health applications over conventional care for very specific situations, indications and locations, but not always generalizable. CONCLUSIONS Despite the potential advantages of these devices, some caution must be taken when implementing this technology into routine daily practice. To date, the majority of published research on mobile health in the prenatal setting consists of observational studies and there is a need for high-quality randomized controlled trials to confirm the reported clinical and economic benefits as well as the safety of this technology. There is also a need for guidance and governance on the development and validation of new apps and devices and for the implementation of mobile health technology into healthcare systems in both high and low-income settings. Finally, digital communication technologies offer perspectives towards exploration and development of the very new domain of tele-pharmacology.
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Affiliation(s)
- Wilfried Gyselaers
- Department of Obstetrics, Ziekenhuis Oost-Limburg, Genk, Belgium; 2Department of Physiology, Hasselt University, Hasselt, Belgium.,Department of Physiology, Hasselt University, Hasselt, Belgium
| | - Dorien Lanssens
- Department of Physiology, Hasselt University, Hasselt, Belgium.,Mobile Health Unit, Facultiy of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Helen Perry
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom.,Fetal Medicine Unit, Department of Obstetrics and Gynaecology, St. George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, United Kingdom
| | - Asma Khalil
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, Cranmer Terrace, London, SW17 0RE, United Kingdom.,Fetal Medicine Unit, Department of Obstetrics and Gynaecology, St. George's University Hospitals NHS Foundation Trust, Blackshaw Road, London, SW17 0QT, United Kingdom
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Fodor G, Balogh ÁT, Hosszú G, Kovács F. Screening for congenital heart diseases by murmurs using telemedical phonocardiography. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2012; 2012:6100-6103. [PMID: 23367320 DOI: 10.1109/embc.2012.6347385] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
A large proportion of congenital heart diseases (CHD) remain undetected during pregnancy or even after birth. Many of them generate turbulent blood flow, resulting heart murmur. Doppler ultrasound cardiotocography (CTG) is suitable for the assessment of the fetal heart rate and some derived parameters, but it is inadequate for detecting heart murmurs. Although comprehensive examination can be carried out with echocardiography, it is expensive and requires expertise; therefore, it is not applicable for widespread screening. This paper presents a new possibility for screening for some CHDs using phonocardiography, which can be combined with Doppler ultrasound CTG as an extension of it. Furthermore it can be carried out at home allowing repeated measurements, which increases also the reliability of filtering out innocent murmurs. The diagnostic capability of this screening method is supported by a large number of evaluated fetal heart sound records. Moreover, according to experiences pregnant women prefer this reliable, easy to use method, which facilitates their examination.
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Affiliation(s)
- Gabor Fodor
- Department of Electron Devices, Budapest University of Technology and Economics, Budapest, Hungary.
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Kovacs F, Horváth C, Balogh ÁT, Hosszú G. Extended Noninvasive Fetal Monitoring by Detailed Analysis of Data Measured With Phonocardiography. IEEE Trans Biomed Eng 2011; 58:64-70. [DOI: 10.1109/tbme.2010.2071871] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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