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Biomedical Engineering Systems and Technologies

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Cover of 'Biomedical Engineering Systems and Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Systematic Design Procedure of CMOS Microelectrode-Arrays Based on Analog Signal Processing Noise Figure
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    Chapter 2 LigityScore: A CNN-Based Method for Binding Affinity Predictions
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    Chapter 3 Chaotic Changes in Fingertip Pulse Waves and Psychological Effects of Reminiscence Therapy Intervention
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    Chapter 4 Determination of Charge Transfer Resistance from Randles Circuit Spectra Using Elliptical Fitting
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    Chapter 5 Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios
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    Chapter 6 Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson’s Disease Hypokinetic Dysarthria
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    Chapter 7 Technology-Based Education and Training System for Nursing Professionals
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    Chapter 8 Evaluation of Algorithms to Measure a Psychophysical Threshold Using Digital Applications
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    Chapter 9 Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization
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    Chapter 10 Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder
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    Chapter 11 Requirements for Implementing Digital Health Terminology Standards in Uganda’s Electronic Medical Records-Based Health Information Systems
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    Chapter 12 Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning
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    Chapter 13 DL-Assisted ROP Screening Technique
Attention for Chapter 7: Technology-Based Education and Training System for Nursing Professionals
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7 Mendeley
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Chapter title
Technology-Based Education and Training System for Nursing Professionals
Chapter number 7
Book title
Biomedical Engineering Systems and Technologies
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-20664-1_7
Book ISBNs
978-3-03-120663-4, 978-3-03-120664-1
Authors

Böhlen, Conrad Fifelski-von, Brinkmann, Anna, Fudickar, Sebastian, Hellmers, Sandra, Hein, Andreas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 29%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Engineering 2 29%
Chemistry 1 14%
Unknown 4 57%