Rhythms in healthcare / / M. Shamim Kaiser, Mufti Mahmud and Shamim Al Mamun, editors

• Record Nr.: UNINA9910595050903321
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore Pte Ltd., , [2022]; ©2022
• ISBN: 981-19-4189-0
• Descrizione fisica: 1 online resource (174 pages)
• Collana: Studies in rhythm engineering
• Disciplina: 612.022
• Soggetti: Biosensors; Signal processing; Biological rhythms
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- 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.