Wireless Mobile Communication and Healthcare: 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13–14, 2021, Proceedings

Preface
Organization
Contents
Invited Session
A Health Status Evaluation Method for Chronic Disease Patients Based on Multivariate State Estimation Technique Using Wearable Physiological Signals: A Preliminary Study
	1 Introduction
	2 Materials and Methods
		2.1 Multivariate State Estimation Technique (MSET)
		2.2 Data Source
		2.3 Data Preprocess and Filtration
		2.4 Statistical Method
	3 Experiment Results
		3.1 Group Analysis
		3.2 Case Analysis
	4 Discussion
	5 Conclusions
	References
Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative Approaches
	1 Introduction
	2 Privacy and Security Concerns in Wearable Devices
		2.1 User's Behavior
		2.2 Data Transfer
		2.3 Data Storage
	3 Threats and Attacks
	4 Related Works
	5 Emerging Approaches
		5.1 Federated Learning
		5.2 Homomorphic Encryption
		5.3 Tiny Machine Learning
	6 Conclusion
	References
Medical, Communications, and Networking
A CNN-Based Computer Vision Interface for Prosthetics’ Control
	1 Introduction
	2 Materials and Methods
		2.1 Current Techniques for Controlling a Prosthetic
		2.2 Convolutional Neural Networks (CNN)
		2.3 Gesture Recognition
		2.4 Object Detection and Recognition
	3 Results
		3.1 Gesture Recognition
		3.2 Objects Detection
	4 Conclusion
		4.1 Summary
		4.2 Future Research
	References
A Deep Learning-Based Dessert Recognition System for Automated Dietary Assessment
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Dataset Construction
		3.2 Data Augmentation
		3.3 Transfer Learning
		3.4 Training Process
	4 Results
		4.1 Food-101 Evaluation
		4.2 Real Conditions Evaluation
		4.3 Computational Complexity
	5 Discussion
	References
Detection of Epilepsy Seizures Based on Deep Learning with Attention Mechanism
	1 Introduction
	2 Related Work
	3 Methodology for Epileptic Seizure Detection Using a Single EEG Channel
	4 Experimental Results and Performance Evaluation
	5 Conclusion and Future Work
	References
Edge-Computing System Based on Smart Mat for Sleep Posture Recognition in IoMT
	1 Introduction
	2 System Design and Implementation
	3 Algorithm Framework
		3.1 Pre-processing
		3.2 EdgeNet Pre-training
		3.3 Model Quantization
		3.4 Model Deployment
	4 Experiment and Results
		4.1 Experimental Setup
		4.2 Experimental Results
		4.3 Performance Evaluation in STM32
	5 Discussion
	6 Conclusion
	References
Retinal Vessel Segmentation Using Multi-scale Generative Adversarial Network with Class Activation Mapping
	1 Introduction
	2 Related Work
		2.1 Image Segmentation
		2.2 Generative Adversarial Network
	3 Our Approach
		3.1 Discriminator
		3.2 Generator
		3.3 Image Stitching
		3.4 Loss Functions
	4 Experiments
		4.1 Dataset
		4.2 Evaluation Metrics
		4.3 Comparisons
		4.4 Result
	5 Conclusion
	References
Robust Intent Classification Using Bayesian LSTM for Clinical Conversational Agents (CAs)
	1 Introduction
	2 Related Work
	3 Methods
		3.1 Bayesian LSTM
		3.2 Symptom Checker Use Case
	4 Results
	5 Discussion
	6 Conclusion and Future Work
	References
Biomedical and Health Informatics
Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression
	1 Introduction
	2 Study Objective
	3 Related Work
	4 Experiment
		4.1 Data Logging Software
		4.2 Recruitment
		4.3 Study Protocol
	5 Analysis Protocol
		5.1 Behavioural Analysis
		5.2 Feature Extraction
		5.3 Anomaly Detection
	6 Results
		6.1 Quantitative Results
		6.2 Qualitative Results
	7 Discussion
	8 Limitations and Future Work
	9 Conclusion
	References
An Accurate and Cost-Effective Approach Towards Real-Time Eye Movement Angle Estimation
	1 Introduction
	2 Experiment
		2.1 Materials
		2.2 Experimental Setup and Procedure
	3 Methodology
		3.1 EOG Signal Preprocessing
		3.2 Polynomial Fitting Eye Movement Angle Estimation Model
	4 Results
		4.1 The Result of the Proposed Method
		4.2 Comparison with Linear and Some Non-linear Methods
		4.3 Compared with the Existing Works
	5 Conclusion
	References
Adaptive Distance Sensing in Contact Tracing Applications Through Indoor/Outdoor Detection
	1 Introduction
	2 Method
	3 Exerimental Evaluation
	4 Related Work
	5 Conclusion
	References
Development and Validation of Algorithms for Sleep Stage Classification and Sleep Apnea/Hypopnea Event Detection Using a Medical-Grade Wearable Physiological Monitoring System
	1 Introduction
	2 Material and Methods
		2.1 Algorithm Design
		2.2 Wearable Device Used in Validation Studies
		2.3 Validation Study Design
	3 Experiment Results
		3.1 Sub-study 1: SensEcho Compared with PSG for Sleep Stage Classification and Sleep Apnea/Hypopnea Event Detection
		3.2 Sub-study 2: SensEcho Compared with a CFDA-approved Device for Sleep Apnea/Hypopnea Event Detection
	4 Discussion
	5 Conclusions
	References
Design Approaches for Executable Clinical Pathways at the Point of Care in Limited Resource Settings to Support the Clinical Decision Process: Review of the State of the Art
	1 Introduction
	2 Methods
		2.1 Goal
		2.2 Search Strategy and Literature Search
		2.3 Eligibility Assessment
		2.4 Data Extraction and Data Analysis
	3 Results
		3.1 Search Results
		3.2 Summary Characteristics of Included Studies
		3.3 Clinical Pathway Design Approaches, Platforms, and Techniques
	4 Discussion
	5 Conclusion
	References
Effectiveness of a mHealth Coaching Program on Predictors of Work Absenteeism
	1 Introduction
	2 Related Work
		2.1 Predictors of Sick Leave and Absenteeism
		2.2 Health Coaching Programs in the Workplace
	3 Methodology
		3.1 Recruitment and Timeline
		3.2 NIPED
		3.3 VitalityPlatform Health Coaching Platform
		3.4 Data Analysis
	4 Results
		4.1 Descriptive Statistics
		4.2 Effects of the Intervention
	5 Discussion and Conclusions
	References
eHealthCare - A Medication Monitoring Approach for the Elderly People
	1 Introduction
	2 State of the Art
	3 Implementation
		3.1 Pill Organizer
		3.2 Intelligent System
		3.3 NB-IoT Comunication
		3.4 Admin Portal and Mobile Application
	4 Conclusion
		4.1 Future Work
	References
The Case for Symptom-Specific Neurological Digital Biomarkers
	1 Introduction
	2 Related Work
		2.1 Functional Assessments
		2.2 Physical Interventions
	3 Methodology
		3.1 Mobile Application Testing
		3.2 Physical Interventions
		3.3 Statistical Analysis
	4 Results
		4.1 Mobile Application Testing
		4.2 Symptom-Specific Digital Biomarkers
		4.3 Digital Biomarker Sensitivity
	5 Discussion
	6 Conclusions
	A Appendix
	References
Signal/Data Processing and Computing For Health Systems
A Multi-classifier Fusion Approach for Capacitive ECG Signal Quality Assessment
	1 Introduction
	2 Methodology
		2.1 Algorithm Framework
		2.2 Feature Extraction
		2.3 Multi-classifier Fusion
		2.4 Performance Measurement
	3 Experimental Setup and Results
		3.1 Experimental Setup
		3.2 Result
		3.3 Comparison with the Single Classifier
	4 Conclusion
	References
A Pilot mHealth Project for Monitoring Vital Body Signals and Skin Conditions
	1 Introduction
	2 Project Activities
		2.1 Heart-Beat Detection Using a Wireless Peripheral Mini-Device
		2.2 Heart-Beat Detection Using a Smartphone Built-In Camera
		2.3 Deep Learning for Early Detection of Serious Skin Disorders
	3 Conclusions
	References
Automatic Subject Identification Using Scale-Based Ballistocardiogram Signals
	1 Introduction
	2 Methods
		2.1 Hardware Setup
		2.2 Experimental Protocol
		2.3 Pre-processing and Beat Detection
		2.4 Feature Extraction
		2.5 Classifier Training and Prediction
		2.6 Confidence Measurement and Threshold
	3 Evaluation and Results
		3.1 Subject Identification Accuracy
		3.2 Prediction Confidence
		3.3 Experiments on Physiologically Modulated Signals
	4 Conclusion and Future Work
	References
Detection of Multiple Small Moving Targets Against Complex Ground Background
	1 Introduction
	2 Detection of Multiple Small Moving Targets
		2.1 Background Motion Compensation
		2.2 Target Motion Information
		2.3 Extraction of Moving Target Area
	3 Detection of Multiple Small Moving Targets Against Complex Ground Background
		3.1 Target Trajectories Association
		3.2 Extraction of Target Trajectory Features
		3.3 Filtration of False Alarm Target Trajectories Based on the Trajectory Feature Vector
	4 Flowchart of the Proposed Algorithm
	5 Experimental Results and Analysis
		5.1 Evaluation Index
		5.2 Experimental Data
		5.3 Result Analysis
	6 Conclusion
	References
A Two-Stream Model Combining ResNet and Bi-LSTM Networks for Non-contact Dynamic Electrocardiogram Signal Quality Assessment
	1 Introduction
	2 Materials and Methods
		2.1 Data Collection and Annotation
		2.2 Pre-processing of dECG Signals
		2.3 Architecture of Proposed Model
	3 Evaluation Index Experimental Platform and Results
		3.1 Evaluation Index
		3.2 Experimental Platform
		3.3 Results
		3.4 Comparison with Methods in Other Papers
	4 Conclusion
	References
CANet: Compact Attention Network for Automatic Melanoma Segmentation
	1 Introduction
	2 Methodology
		2.1 On the Elements of the Proposed Network
		2.2 Network Architecture
		2.3 Data Preprocessing
	3 Experiments
		3.1 Dataset
		3.2 Performance Evaluation Metrics
		3.3 Results and Discussions
	4 Conclusions
	References
Tell It Your Way: Technology-Mediated Human-Human Multimodal Communication
	1 Introduction
	2 Users, Scenarios and Requirements
		2.1 Personas
		2.2 Scenarios
		2.3 Requirements
	3 High Fidelity Mockup Design and Evaluation
		3.1 First Mockup
		3.2 Refined High-Fidelity Mockup
	4 First Functional Prototype
		4.1 Architecture
		4.2 Message Conversions
		4.3 First Proof-of-Concept Mobile App
	5 Conclusions
	References
Author Index