scholarly journals Automatic recognition of uterine contractions with electrohysterogram signals based on the zero-crossing rate

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaoxiao Song ◽  
Xiangyun Qiao ◽  
Dongmei Hao ◽  
Lin Yang ◽  
Xiya Zhou ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Simple Calculation ◽  
Recognition Algorithm ◽  
Automatic Recognition ◽  
Zero Crossing ◽  
Maternal Perception ◽  
Uterine Contractions ◽  
Real Time Analysis ◽  
Zero Crossing Rate

AbstractUterine contraction (UC) is an essential clinical indicator in the progress of labour and delivery. Electrohysterogram (EHG) signals recorded on the abdomen of pregnant women reflect the uterine electrical activity. This study proposes a novel algorithm for automatic recognition of UCs with EHG signals to improve the accuracy of detecting UCs. EHG signals by electrodes, the tension of the abdominal wall by tocodynamometry (TOCO) and maternal perception were recorded simultaneously in 54 pregnant women. The zero-crossing rate (ZCR) of the EHG signal and its power were calculated to modulate the raw EHG signal and highlight the EHG bursts. Then the envelope was extracted from the modulated EHG for UC recognition. Besides, UC was also detected by the conventional TOCO signal. Taking maternal perception as a reference, the UCs recognized by EHG and TOCO were evaluated with the sensitivity, positive predictive value (PPV), and UC parameters. The results show that the sensitivity and PPV are 87.8% and 93.18% for EHG, and 84.04% and 90.89% for TOCO. EHG detected a larger number of UCs than TOCO, which is closer to maternal perception. The duration and frequency of UC obtained from EHG and TOCO were not significantly different (p > 0.05). In conclusion, the proposed UC recognition algorithm has high accuracy and simple calculation which could be used for real-time analysis of EHG signals and long-term monitoring of UCs.

A Proposed Speaker Recognition Method B Based on Long-Term Voice Features and Fuzzy Logic

2021 ◽  
Vol 39 (1B) ◽  
pp. 1-10
Author(s):  
Iman H. Hadi ◽  
Alia K. Abdul-Hassan
Keyword(s):  
Fuzzy Logic ◽  
Speaker Recognition ◽  
Recognition Accuracy ◽  
Inner Product ◽  
Maximum Frequency ◽  
Recognition Method ◽  
Data Set ◽  
Zero Crossing ◽  
Zero Crossing Rate

Speaker recognition depends on specific predefined steps. The most important steps are feature extraction and features matching. In addition, the category of the speaker voice features has an impact on the recognition process. The proposed speaker recognition makes use of biometric (voice) attributes to recognize the identity of the speaker. The long-term features were used such that maximum frequency, pitch and zero crossing rate (ZCR).  In features matching step, the fuzzy inner product was used between feature vectors to compute the matching value between a claimed speaker voice utterance and test voice utterances. The experiments implemented using (ELSDSR) data set. These experiments showed that the recognition accuracy is 100% when using text dependent speaker recognition.

scholarly journals Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2281
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Sina Labbaf ◽  
Hannakaisa Niela-Vilén ◽  
Nikil Dutt ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Maternal Health ◽  
Pregnant Women ◽  
Health Monitoring ◽  
Quality Care ◽  
Well Being ◽  
Pregnancy And Postpartum ◽  
Comprehensive Framework ◽  
Specific Health

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

scholarly journals COVID-19 Infection during Pregnancy: Risk of Vertical Transmission, Fetal, and Neonatal Outcomes

2021 ◽  
Vol 11 (6) ◽  
pp. 483
Author(s):  
Marwa Saadaoui ◽  
Manoj Kumar ◽  
Souhaila Al Khodor
Keyword(s):  
Pregnant Women ◽  
Vertical Transmission ◽  
Current Knowledge ◽  
Limited Data ◽  
Pregnancy Risk ◽  
Public Health Challenge ◽  
Short And Long Term ◽  
Critical Public Health ◽  
The Impact

The COVID-19 pandemic is a worldwide, critical public health challenge and is considered one of the most communicable diseases that the world had faced so far. Response and symptoms associated with COVID-19 vary between the different cases recorded, but it is amply described that symptoms become more aggressive in subjects with a weaker immune system. This includes older subjects, patients with chronic diseases, patients with immunosuppression treatment, and pregnant women. Pregnant women are receiving more attention not only because of their altered physiological and immunological function but also for the potential risk of viral vertical transmission to the fetus or infant. However, very limited data about the impact of maternal infection during pregnancy, such as the possibility of vertical transmission in utero, during birth, or via breastfeeding, is available. Moreover, the impact of infection on the newborn in the short and long term remains poorly understood. Therefore, it is vital to collect and analyze data from pregnant women infected with COVID-19 to understand the viral pathophysiology during pregnancy and its effects on the offspring. In this article, we review the current knowledge about pre-and post-natal COVID-19 infection, and we discuss whether vertical transmission takes place in pregnant women infected with the virus and what are the current recommendations that pregnant women should follow in order to be protected from the virus.

Monitoring long-term uterine contractions

2002 ◽  
Vol 5 (2) ◽  
pp. 36-40
Author(s):  
Han-Chang Wu ◽  
Chao-Hung Lin ◽  
Shuenn-Tsong Young ◽  
Te-Son Kuo
Keyword(s):  
Uterine Contractions

Peculiarities of pregnancy and delivery course in women after the application of assisted reproductive technologies against obesity (Based on the retrospective analysis)

2018 ◽  
pp. 122-126
Author(s):  
I.A. Zhabchenko ◽  
◽  
O.R. Sudmak ◽  
Keyword(s):  
In Vitro Fertilization ◽  
Pregnant Women ◽  
Retrospective Analysis ◽  
Perinatal Outcomes ◽  
Reproductive Technologies ◽  
Ischemic Lesion ◽  
Vitro Fertilization ◽  
Pregnancy And Delivery

The objective: to study the structure and frequency of complications of pregnancy, deliveries and perinatal outcomes in three groups of women: women with infertility and obesity, treated by application of in vitro fertilization (hereinafter IVF), pregnant women after IVF application with normal body weight, and pregnant women on the background of obesity which did not have an infertility in past history. Materials and methods. A retrospective analysis of 221 case histories of pregnancies and labors in women who were treated and gave birth in the Pregnancy and delivery pathology Department of SI «Institute of Pediatrics, Obstetrics and Gynecology named after Acad. O. M. Lukyanova of NAMS of Ukraine» for 2012 – 2016 years was carried out. Results. The overwhelming majority of pregnant women after IVF on the background of obesity are primaparas, who have a complicated obstetric history, hormonal changes in the form of progesterone deficiency predominantly and chronic inflammatory processes. Pregnancy with a combination of infertility, treated by the means of IVF application, and obesity, in most cases is accompanied by a long-term threat of termination of pregnancy (48.8%), threatening preterm deliveries (56%), placental dysfunction (41.5%), premature rupture of the amniotic membranes (41.5%), other problems during pregnancy, at the same time, every second woman (58.5%) had a combination of several complications, and required a long-term and repeated inpatient treatment (53.7%). The specific gravity of surgical delivery was 90%, and 16.2% of such deliveries were complicated by pathological blood loss. The number of preterm deliveries was 17.1%, with perinatal losses up to 11.3‰. Among full-term newborns 21.3% of newborns had malnutrition of the I degree and 17% of them had hypoxic-ischemic lesion of CNS. Conclusion. The course of pregnancy, delivery and the postpartum period in the studied contingent of women has a significant frequency of complications, mainly the coinciding ones, which affects on the consequences of perinatal outcomes and requires further study of this problem and the development of differentiated algorithms for antenatal observation. Key words: pregnancy, obesity, in vitro fertilization, complications, delivery, newborn.

Wireless Uterine Contractions Monitoring System For Pregnant Women Using A Low-Cost Integrated Sensor Network

2021 ◽  
Author(s):  
Jimmy Armas ◽  
Aarón Israel Flores La Chira ◽  
Ricardo Enrique Malqui Torres ◽  
Paola A. Gonzalez
Keyword(s):  
Pregnant Women ◽  
Sensor Network ◽  
Monitoring System ◽  
Low Cost ◽  
Integrated Sensor ◽  
Uterine Contractions
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