Section 1: All the technicalities Basics of ultrasound Know your product - All the ultrasound machine hacks you need to know Section 2: Obstetric ultrasound Early pregnancy and abnormalities First trimester anomaly screening The second trimester anomaly scan - What is normal? Abnormalities on second trimester ultrasound Borderline findings on ultrasound Normal and abnormal placentation Growth and biometry Fetal growth restriction Amniotic fluid and its abnormalities Cervical length assessment Multiple gestation All about dopplers Ultrasound guided procedures Role of 3D/4D in obstetrics Section 3: Gynaecology Female anatomy on ultrasound Uterine lesions and abnormalities Overview of the ovaries Adnexal pathologies 3D 4D in gynaecology Ultrasound in reproductive medicine
There have been many instances,where at some point of their life,woman are victimized to exploitation." THIS IS A STORY OF ONE SUCH WOMAN WHO FIGHTS THE BATTLE OF EXPLOITATION TO RETAIN HER DIGNITY AND SELF RESPECT BACK. BARKHA- a simple middle class girl,catches the gaze of a wealthy businessman-VICKY MALHOTRA. Things take an ugly turn when she realizes that everything that he intended to do with her were not as righteous as he seemed them to be. Does Barkha keep mum and endure it?Or does she fight back?and how? Does the legal justice as well as the natural justice favor her?? "Being in the law background and conducting many counselling sessions,I have come across various women going through enormous tsunami's in their life.This story is one among'st them.
Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. - Presents EEG signal processing and analysis concepts with high performance feature extraction - Discusses recent trends in seizure detection, prediction and classification methodologies - Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication - Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet
Section 1: All the technicalities Basics of ultrasound Know your product - All the ultrasound machine hacks you need to know Section 2: Obstetric ultrasound Early pregnancy and abnormalities First trimester anomaly screening The second trimester anomaly scan - What is normal? Abnormalities on second trimester ultrasound Borderline findings on ultrasound Normal and abnormal placentation Growth and biometry Fetal growth restriction Amniotic fluid and its abnormalities Cervical length assessment Multiple gestation All about dopplers Ultrasound guided procedures Role of 3D/4D in obstetrics Section 3: Gynaecology Female anatomy on ultrasound Uterine lesions and abnormalities Overview of the ovaries Adnexal pathologies 3D 4D in gynaecology Ultrasound in reproductive medicine
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