دانلود کتاب پردازش و طبقه‌بندی سیگنال‌های قلبی تنفسی
Cardio-Respiratory Signal Processing and Classification 1st Edition

Non-invasive measurements of cardio-respiratory signals has improved diagnosis and prognosis in human health. This edited book invites original theoretical, practical, and review chapters aimed at proposing advancements in cardio-respiratory signal processing methods for healthcare applications. Exemplary themes of interest covered in this title include cardio-respiratory signal processing challenges using complex physiological data, novel HRV analysis, and data extracted from modern wearables and biosensors.

Contents

۱ Time-Frequency Analysis of ECG Signals
۲ Detection of Cardiac Signals Abnormalities Using MUSIC and Random Subspace Methods
۳ ECG Signal Analysis Using Dual-Tree Complex Wavelet Transform and Bagging Ensemble Machine Learning
۴ Heart and Respiratory Sound Expert
۵ Individual Discriminating Power Assessment of ECG Multi-Scale Entropies for Cardiovascular Disease Detection
۶ Development of a Far Infrared Thermal Sensor-Based Contactless Breath Rate Measuring System with a Constraint on Resources
۷ Electrocardiographic Signature Assessment of Post-COVID-19 Syndrome via Machine Learning Algorithms in Patients with Comorbid Cardiovascular Conditions
۸ Real-Time Deep Learning Pipeline for ECG Anomaly Detection
۹ Analysis of Ballistocardiography for Cardiac and Respiratory Monitoring in Sleep
۱۰ PhysioBot: A Deep Learning Chatbot for ECG–PPG Anomaly Detection
۱۱ LLM-Facilitated Differential Diagnosis of Cardiovascular Conditions from ECG and PPG