Kaiser M.S., Mahmud M., Al Mamun S. (eds.) Rhythms in Healthcare

Singapore: Springer, 2022. — 174 p.This book provides an insightful review and methodological contribution about future healthcare system. It also provides a space for creating and designing techniques for effective sensing, processing, and analysis of patient health situations based on bio-signal processing. Additionally, it discusses novel methods and algorithms which are needed to overcome limitations in current rhythmic bio-signals models. It also discusses solutions and systems needed to efficiently evaluate and process real-time data. The book is useful for wide range of users, including students, research scientists, teachers, and practitioners working in the field of heath informatics, neuroscience, biomedical engineering, and medical image processing and diagnosis.Editors and Contributors
Is Biological Rhythm Associated with the Mortality of COVID-19?Methods
Biological Rhythm
Data Analysis
Results
DiscussionDeep Learning in Biomedical Devices: Perspectives, Applications, and ChallengesInternet of Healthcare Things (IoHT)
IoHT and Biomedical Devices
Overview of Deep Learning
Basic Framework
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Autoencoders (AE)
Deep Boltzmann Machine (DBM)
Deep Belief Network (DBN)
Deep Learning in Biomedical Devices
Open Issues and Future PerspectivesEffect of 3D-Multiple Object Tracking Training on Manual Dexterity in Elderly Adults with Dementia and Mild Cognitive ImpairmentMaterials and Methods
Participants
Measures
Montreal Cognitive Assessment (MoCA Version 7.1)
Grooved Pegboard Test (GPT)
Minnesota Manual Dexterity Test (MMDT)
Training Procedure
3D-Multiple Object Tracking (3D-MOT)
Statistical Analysis
Results
DiscussionRhythmic Pattern of EEG for Identifying SchizophreniaMethods
Measures of Directed Connectivity
Experimental Results
Dataset
Comparison of Different Models for Biomedical Application
DiscussionsFuture WorkPrior Prediction and Management of Autism in Child Through Behavioral Analysis Using Machine Learning ApproachPrior Prognostic of Autism
Behavioral Analysis
Screening and Diagnosis of Autism Spectrum Disorder
Research Methodology
Data Collection and Description
Machine Learning Classifiers and Evaluation Metrics
Implementation
Experimental Result and Discussion
ConclusionsDNN and LiDAR Sensor Based Crowd Avoidance Method for Nurse-Following Robot in HealthcareRelated Work
The Crowd Avoidance Algorithm
Person Tracking
Locate the Target Nurse and Pedestrian Person in the Space
Line Following Method
Circle Following Method
Experiments of the Crowd Avoidance
Hardware
Experimental Conditions
Experimental Results
Conclusions and Future WorkInvestigation on Heart Attack Prediction Based on the Different Machine Learning ApproachesMachine Learning Algorithms
Support Vector Machine
Logistic Regression
K-Nearest Neighbor Algorithm
Random Forest Algorithm
Naive Bayes Classifier
Decision Tree Classifier
Dataset
Methodology
Result and DiscussionWearable Devices for Monitoring Vital Rhythm and Earlier Disease Diagnosis of TreatmentMethods and Materials
Review Methodology
Wearable Devices
Vital Rhythm
Disease Diagnosis from Vital Rhythm
Discussions
Limitations and ChallengesPost-quantum Signature Scheme to Secure Medical DataBackground and Motivation
Literature Review
Preliminaries
Keccak
Skein
Merkle Tree
Proposed Signature Scheme
Proposed MMT Signature Scheme for Multiple Transactions
Proposed MMT Signature Scheme for Single Transaction
Proposed Secure Blockchain for Medical Data Using MMT Signature Scheme
Security and Performance Analysis
Performance Analysis
Security Analysis
Trade-Off Between Performance and SecurityFuture WorkMedical Image Analysis Using Machine Learning and Deep Learning: A Comprehensive ReviewMedical Imaging Types
Overview of Machine Learning and Deep Learning
Classifier
Performance Metrics
ML and DL Approaches in Tuberculosis Detection
ML and DL Approaches in Lung Cancer Detection
ML and DL Approaches in COVID-19 Detection
ML and DL Approaches in Pneumonia Detection
Discussion