Automatická detekce pohybu plodu pomocí abdominální elektrokardiografie

The aim of the bachelor’s thesis is to introduce an extensive review of fetal movement monitoring methods. The theoretical part describes currently available fetal monitoring methods, primarily non-invasive fetal electrocardiography. The thesis continues to thoroughly describe and characterize fetal movements and the current possibilities of fetal movement detection. The output of the bachelor’s thesis is an analysis of the manifestation of fetal movements on various biological signals, which were further used in the design and development of the graphical user interface for automatic fetal movement detection. Developed fetal movement detection algorithms were evaluated on clinical practice data.Hlavním cílem předložené bakalářské práce je představit rozsáhlý přehled metod sledování pohybu plodu. V teoretické části jsou popsány momentálně dostupné metody monitorování plodu, především neinvazivní fetální elektrokardiografie. Předložená bakalářská práce dále důkladně popisuje a charakterizuje pohyby plodu a současné možnosti detekce pohybu plodu. Výstupem bakalářské práce je analýza projevů pohybů plodu na různých biologických signálech, které byly dále využity při návrhu a vývoji grafického uživatelského rozhraní pro automatickou detekci pohybu plodu. Vyvinuté algoritmy byly následně vyhodnoceny na datech z klinické praxe.450 - Katedra kybernetiky a biomedicínského inženýrstvívýborn

母体腹壁誘導胎児心電図装置における胎児心電図分離率低下の原因と背景因子の検討

Tohoku University八重樫伸生課

Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings

Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility

Feasibility study of a new method for low-complexity fetal movement detection from abdominal ECG recordings

\u3cp\u3eFetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of the mother varies between 37% and 88%. Various methods to assist in fetal movement detection exist based on a wide spectrum of measurement techniques. However, these are unsuitable for ambulatory or long-term observation. In this paper, a novel low-complexity method for fetal movement detection is presented based on amplitude and shape changes in the abdominally recorded fetal ECG. This method was compared to a state-of-the-art method from the literature. Using ultrasound-based movement annotations as ground truth, the presented method outperforms the state-of-the-art abdominal-ECG based method, with a sensitivity, specificity, and accuracy of 56%, 68%, and 63%, respectively. Additionally, a significant reduction in algorithm complexity is achieved, possibly enabling continuous ambulatory fetal movement detection and early detection of reduced fetal motility.\u3c/p\u3

Magnetic Resonance Imaging of the Fetus

Hlavním cílem diplomové práce je experimentální ověření metod detekce pohybu plodu z abdominálního EKG (aEKG) záznamu s potenciálem využití během vyšetření magnetickou rezonancí. Signál aEKG obsahuje v sobě obsahuje mateřskou komponentu, plodovou komponentu a další rušivé signály. Pro zhodnocení stavu plodu je důležitým parametrem variabilita tepové, frekvence, ze které lze ověřit pohyby plodu. Teoretická část se věnuje současnému stavu problematiky klinického využití magnetické rezonance v prenatální diagnostice, popisu MR sekvencí vhodných pro fetální magnetickou rezonanci a klasifikaci základních komplikací při monitorování plodu, přičemž důraz je zde kladen na pohybové artefakty, které výrazně ovlivní celkovou metodu zobrazení. Dále je provedena rešerše současného stavu problematiky detekce pohybu plodu. V experimentální části je představeno řešení pomocí neadaptivní metody extrakce fEKG signálu, ze kterého je stanovena variabilita tepové frekvence plodu (fHR) a amplituda fetálního QRS komplexu, přičemž oba parametry jsou závislé na pohybu plodu. Metody byly realizovány v softwarovém prostředí Matlab 2020a. Ověření funkčnosti navržených metod bylo provedeno na reálném záznamu KTG z klinické praxe.The mail goal of this diploma thesis is the experimental verification of fetal movement detection methods from abdominal ECG (aECG) with the potential to be used during magnetic resonance of imaging. The aECG signal contains the maternal component, the fetal component and the other interfering signals. An important parameter for evaluating fetal status is heart rate variability, the frequency from which fetal movements can be verified. The theoretical part deals with the current state of clinical use of magnetic resonance imaging in prenatal diagnosis, description of MR sequences suitable for magnetic resonance and classification of basic monitoring errors, with emphasis on movement artifacts that significantly affect the overall imaging method. Furthemore, a search of the current state of fetal motion detection is perfomed. The experimental part presents a solution a non-adaptive of fetal ECG signal extraction, from which the variability of fetal heart rate and amplitude of the fetal QRS complex are determined, both parametrs being dependent on fetal movement. Methods was used in the Matlab version 2020a software environment. Verification of the functionality of the proposed methods was perfomed on a real KTG record from clinical practice.450 - Katedra kybernetiky a biomedicínského inženýrstvívýborn