Rhythms in Healthcare

Preface
Contents
Editors and Contributors
1 Is Biological Rhythm Associated with the Mortality of COVID-19?
	1 Introduction
	2 Methods
		2.1 Biological Rhythm
		2.2 Data Analysis
	3 Results
	4 Discussion
	References
2 Deep Learning in Biomedical Devices: Perspectives, Applications, and Challenges
	1 Introduction
	2 Internet of Healthcare Things (IoHT)
	3 IoHT and Biomedical Devices
	4 Overview of Deep Learning
		4.1 Basic Framework
		4.2 Convolutional Neural Network (CNN)
		4.3 Recurrent Neural Network (RNN)
		4.4 Autoencoders (AE)
		4.5 Deep Boltzmann Machine (DBM)
		4.6 Deep Belief Network (DBN)
	5 Deep Learning in Biomedical Devices
	6 Open Issues and Future Perspectives
	7 Conclusion
	References
3 Effect of 3D-Multiple Object Tracking Training on Manual Dexterity in Elderly Adults with Dementia and Mild Cognitive Impairment
	1 Introduction
	2 Materials and Methods
		2.1 Participants
	3 Measures
		3.1 Montreal Cognitive Assessment (MoCA Version 7.1)
		3.2 Grooved Pegboard Test (GPT)
		3.3 Minnesota Manual Dexterity Test (MMDT)
	4 Training Procedure
		4.1 3D-Multiple Object Tracking (3D-MOT)
	5 Statistical Analysis
	6 Results
	7 Discussion
	References
4 Rhythmic Pattern of EEG for Identifying Schizophrenia
	1 Introduction
	2 Methods
		2.1 Measures of Directed Connectivity
	3 Experimental Results
		3.1 Dataset
		3.2 Comparison of Different Models for Biomedical Application
	4 Discussions
	5 Conclusion
	6 Future Work
	References
5 Prior Prediction and Management of Autism in Child Through Behavioral Analysis Using Machine Learning Approach
	1 Introduction
	2 Prior Prognostic of Autism
		2.1 Behavioral Analysis
		2.2 Screening and Diagnosis of Autism Spectrum Disorder
	3 Research Methodology
		3.1 Data Collection and Description
		3.2 Machine Learning Classifiers and Evaluation Metrics
		3.3 Implementation
	4 Experimental Result and Discussion
	5 Conclusions
	References
6 DNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in Healthcare
	1 Introduction
	2 Related Work
	3 The Crowd Avoidance Algorithm
		3.1 Person Tracking
		3.2 Locate the Target Nurse and Pedestrian Person in the Space
		3.3 Line Following Method
		3.4 Circle Following Method
	4 Experiments of the Crowd Avoidance
		4.1 Hardware
		4.2 Experimental Conditions
		4.3 Experimental Results
	5 Conclusions and Future Work
	References
7 Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches
	1 Introduction
	2 Machine Learning Algorithms
		2.1 Support Vector Machine
		2.2 Logistic Regression
		2.3 K-Nearest Neighbor Algorithm
		2.4 Random Forest Algorithm
		2.5 Naive Bayes Classifier
		2.6 Decision Tree Classifier
	3 Dataset
	4 Methodology
	5 Result and Discussion
	6 Conclusion
	References
8 Wearable Devices for Monitoring Vital Rhythm and Earlier Disease Diagnosis of Treatment
	1 Introduction
	2 Methods and Materials
		2.1 Review Methodology
		2.2 Wearable Devices
		2.3 Vital Rhythm
		2.4 Disease Diagnosis from Vital Rhythm
	3 Discussions
	4 Limitations and Challenges
	5 Conclusion
	References
9 Post-quantum Signature Scheme to Secure Medical Data
	1 Introduction
	2 Background and Motivation
	3 Literature Review
	4 Preliminaries
		4.1 Keccak
		4.2 Skein
		4.3 Merkle Tree
	5 Proposed Signature Scheme
		5.1 Proposed MMT Signature Scheme for Multiple Transactions
		5.2 Proposed MMT Signature Scheme for Single Transaction
		5.3 Proposed Secure Blockchain for Medical Data Using MMT Signature Scheme
	6 Security and Performance Analysis
		6.1 Performance Analysis
		6.2 Security Analysis
		6.3 Trade-Off Between Performance and Security
	7 Conclusion
	8 Future Work
	References
10 Medical Image Analysis Using Machine Learning and Deep Learning: A Comprehensive Review
	1 Introduction
	2 Medical Imaging Types
	3 Overview of Machine Learning and Deep Learning
	4 Classifier
	5 Performance Metrics
	6 ML and DL Approaches in Tuberculosis Detection
	7 ML and DL Approaches in Lung Cancer Detection
	8 ML and DL Approaches in COVID-19 Detection
	9 ML and DL Approaches in Pneumonia Detection
	10 Discussion
	11 Conclusion
	References