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Precision Medicine Powered by pHealth and Connected Health

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Cover of 'Precision Medicine Powered by pHealth and Connected Health'

Table of Contents

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    Book Overview
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    Chapter 1 Hybrid Hierarchical Clustering Algorithm Used for Large Datasets: A Pilot Study on Long-Term Sleep Data
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    Chapter 2 Epileptic Seizure Prediction with Stacked Auto-encoders: Lessons from the Evaluation on a Large and Collaborative Database
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    Chapter 3 Deep Learning Techniques on Sparsely Sampled Multichannel Data—Identify Deterioration in ICU Patients
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    Chapter 4 Convolutional Neural Networks for Early Seizure Alert System
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    Chapter 5 Prediction of Cardiac Arrest in Intensive Care Patients Through Machine Learning
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    Chapter 6 Α Respiratory Sound Database for the Development of Automated Classification
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    Chapter 7 Hidden Markov Model Based Respiratory Sound Classification
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    Chapter 8 An Automated Lung Sound Preprocessing and Classification System Based OnSpectral Analysis Methods
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    Chapter 9 Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis
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    Chapter 10 A Content-Aware Analytics Framework for Open Health Data
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    Chapter 11 Towards Harmonized Data Processing in SMBG
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    Chapter 12 Notarization of Knowledge Retrieval from Biomedical Repositories Using Blockchain Technology
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    Chapter 13 Gap Analysis for Information Security in Interoperable Solutions at a Systemic Level: The KONFIDO Approach
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    Chapter 14 Identification of Barriers and Facilitators for eHealth Acceptance: The KONFIDO Study
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    Chapter 15 A Personalized Cloud-Based Platform for AAL Support to Cognitively Impaired Elderly People
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    Chapter 16 Enhanced Healthcare System Based on Mobile Communication
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    Chapter 17 Experience of Using the WELCOME Remote Monitoring System on Patients with COPD and Comorbidities
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    Chapter 18 Adipose Tissue as a Biomarker in Data Mining Predictive Models of Metabolic Pathophysiologies
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    Chapter 19 Portable Near-Infrared Spectroscopy for Detecting Peripheral Arterial Occlusion
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    Chapter 20 Physiological Monitoring of Cold-Air Stimulated Rhinitis
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    Chapter 21 Association Between SpO2 Signal Characteristics and Sleep Architecture with Insulin Resistance in Patients with Obstructive Sleep Apnea Syndrome
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    Chapter 22 Preprocessing and Filtration Techniques of BSPM Signals in a Small-Scale Study
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    Chapter 23 Blood Vessel Segmentation from Microcirculation Images
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    Chapter 24 Active Learning for Semi-automated Sleep Scoring
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    Chapter 25 Human Fall Detection from Acceleration Measurements Using a Recurrent Neural Network
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    Chapter 26 Optimal Threshold Selection for Acceleration-Based Fall Detection
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    Chapter 27 Camera Based Real Time Fall Detection Using Pattern Classification
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    Chapter 28 Epileptic Seizures Classification Based on Long-Term EEG Signal Wavelet Analysis
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    Chapter 29 Heartrate Variability Comparison Between Electrocardiogram, Photoplethysmogram and Ballistic Pulse Waveforms at Fiducial Points
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    Chapter 30 Wavelet ECG Analysis in Time-Frequency Domain of the QRS-Complex in Individuals with Left Bundle Branch Block
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    Chapter 31 Adaboost Classifier with Dimensionality Reduction Techniques for Epilepsy Classification from EEG
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    Chapter 32 Performance Analysis of Factor Analysis and Isomap with Hybrid ABC-PSO Classifier for Epilepsy Classification
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    Chapter 33 Performance Analysis of Breast Cancer Classification with Softmax Discriminant Classifier and Linear Discriminant Analysis
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    Chapter 34 Emotion Recognition from Haptic Touch on Android Device Screens
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    Chapter 35 Objective Smoking: Towards Smoking Detection Using Smartwatch Sensors
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    Chapter 36 Towards Value Propositions for Persuasive Health and Wellbeing Applications
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    Chapter 37 Parkinson’s Disease Patients Classification Based on a Motion Tracking Methodology
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    Chapter 38 Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum
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    Chapter 39 A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation
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    Chapter 40 A Computerized System for Real-Time Exercise Performance Monitoring and e-Coaching Using Motion Capture Data
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    Chapter 41 Design of a Fully Automated Service to Generate an Individualized Exercise Rehabilitation Program for Adults with Congenital Heart Disease
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    Chapter 42 Adherence to Physical Activity in Patients with Heart Disease: Types, Settings and Evaluation Instruments
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    Chapter 43 Training System Methodology Using ECG Signal
Attention for Chapter 6: Α Respiratory Sound Database for the Development of Automated Classification
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Chapter title
Α Respiratory Sound Database for the Development of Automated Classification
Chapter number 6
Book title
Precision Medicine Powered by pHealth and Connected Health
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-7419-6_6
Book ISBNs
978-9-81-107418-9, 978-9-81-107419-6
Authors

B. M. Rocha, D. Filos, L. Mendes, I. Vogiatzis, E. Perantoni, E. Kaimakamis, P. Natsiavas, A. Oliveira, C. Jácome, A. Marques, R. P. Paiva, I. Chouvarda, P. Carvalho, N. Maglaveras, Rocha, B. M., Filos, D., Mendes, L., Vogiatzis, I., Perantoni, E., Kaimakamis, E., Natsiavas, P., Oliveira, A., Jácome, C., Marques, A., Paiva, R. P., Chouvarda, I., Carvalho, P., Maglaveras, N.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Student > Bachelor 14 12%
Student > Master 13 11%
Researcher 9 8%
Student > Doctoral Student 6 5%
Other 19 16%
Unknown 39 34%
Readers by discipline Count As %
Engineering 30 26%
Computer Science 20 17%
Medicine and Dentistry 5 4%
Agricultural and Biological Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 10 9%
Unknown 46 40%