MAES 2023

Models and Applications for Embedded System

Edited by
Massimo Conti, Simone Orcioni
Dipartimento di Ingegneria dell’Informazione
Università Politecnica delle Marche

This book presents the work of the research results developed by the research cooperation between the Università Politecnica delle Marche (Italy), HTWG Konstanz (Germany), Reutlingen University (Germany) and the British University of Cairo (Egypt). The topics of the research work are signal detection, acquisition and processing, platforms and applications processing vital data, physiological measurement, low power wearable sensors, algorithm design for pattern classification, real-time data mining.

Contents

• “Monitoring Drivers’ Heart Rates and Predicting Heart Attacks information on submission”, Ann Nosseir, pp.1-4
• “Software Scripts for Sensor Data Extraction in Rasberry Pi: user-space and kernel-space comparison”,  Daniel Velez, Natividad Martínez Madrid and Ralf Seepold, pp. 5-10
• “Heart Rate Estimation based on in-bed Accelerometer Sensor Measurement”, Maksym Gaiduk, Maksym Gaiduk, Andrei Boiko, Massimo Conti, Simone Orcioni, Natividad Martínez Madrid and Ralf Seepold, pp. 11-14
• “Influence of gender and age distinction on patient data for sleep apnea detection using artificial intelligence models, Ángel Serrano Alarcon, Natividad Martínez Madrid and Ralf Seepold, pp. 15-18
• “Assessing Body Position During Sleep Using FSR Sensors and Machine Learning Algorithms”, Akhmadbek Asadov, Juan Antonio Ortega, Natividad Martínez Madrid, and Ralf Seepold, pp. 19-22
• “Comparative Study of Applying Signal Processing Techniques on Ballistocardiogram in Detecting J-Peak using Bi-LSTM Model”, Oluwaseun Awonuga, Priyanka Chaurasia, Maksym Gaiduk, Natividad Martínez Madrid, Ralf Seepold, Mostafa Haghi, pp. 23-30
• “Data analysis of non-invasive ballistocardiographic sensors”, Sara Mattioli, Sara Bruschi, Maksym Gayduk, Ralf Seepold, Natividad Martínez Madrid, Simone Orcioni, Massimo Conti, pp. 31-37