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πŸ“

Mobile Networks for Biometric Data Analysis

✍ Scribed by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni (eds.)


Publisher
Springer International Publishing
Year
2016
Tongue
English
Leaves
318
Series
Lecture Notes in Electrical Engineering 392
Edition
1
Category
Library

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✦ Synopsis


This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.

✦ Table of Contents


Front Matter....Pages i-ix
Front Matter....Pages 1-1
The Role of ICT in the Italian Health Care System....Pages 3-17
A Non-Intrusive Model for the Collection and Analysis of Data, Feedback and Needs....Pages 19-25
Analyzing Environmental Conditions and Vital Signs to Increase Healthy Living....Pages 27-39
Preliminary Study of a Novel Shelving System for Nutrition Habits Measuring....Pages 41-50
A Rule-Based Assistant System for Managing the Clothing Cycle....Pages 51-62
Front Matter....Pages 63-63
State of Charge Monitor for Wireless Sensor Networks....Pages 65-78
Development of an Algorithm and a Sensor to Monitor the Heart Rate by Volumetric Measurement Techniques....Pages 79-89
Piezoelectric Energy Harvesting on Running Shoes....Pages 91-107
Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images....Pages 109-120
Front Matter....Pages 121-121
Stress-Aware Generation of Recommendations in a Driving System to Increase User Acceptance....Pages 123-133
Stress Map Based Information System for Increasing Road Safety....Pages 135-144
An OpenCV Based Android Application for Drowsiness Detection on Mobile Devices....Pages 145-158
Distributed Speech and Speaker Identification System for Personalized Domotic Control....Pages 159-170
Front Matter....Pages 171-171
Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution....Pages 173-188
sEMG-Based Evaluation of Muscle Recruitment Variability During Walking in Terms of Activation Length and Occurrence Frequency....Pages 189-203
High Performance Dynamic Threshold Calibration for RR Interval Detection in a QRS Complex Using a Parallel Programing....Pages 205-213
An Analog Front-End for Combined EMG/ECG Wireless Sensors....Pages 215-224
Stress Determent via QRS Complex Detection, Analysis and Pre-processing....Pages 225-234
Health Monitoring in Sport Through Wearable Sensors: A Novel Approach Based on Heart-Rate Variability....Pages 235-246
A New Segmented-Beat Modulation Algorithm for Maternal ECG Estimation from Abdominal Recordings....Pages 247-258
Front Matter....Pages 259-259
Webcam and Smartphone for the Measure of Spatial-Temporal Parameters of Gait for Treadmill Use....Pages 261-272
The Wireless Surface Electromyographic Technique for Supporting the Assessment of Fall Risk in Diabetic Neuropathic Patients....Pages 273-284
A Method for Computing the Functional Ambulation Profile Score by Stereophotogrammetric Data....Pages 285-298
Fall Detection Using Wearable Accelerometers and Smartphone....Pages 299-311
Step Length Estimation for Freezing of Gait Monitoring in Parkinsonian Patients....Pages 313-323

✦ Subjects


Communications Engineering, Networks;Biometrics;Health Informatics;Biomedical Engineering


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