Description
The development of modern civilization leads to us having to solve new problems which did not exist before. The contemporary world faces a great challenge of aging societies, where the increasing number of citizens requires constant medical attention. To ensure safety and wellbeing of elderly people, patients in hospitals and disabled persons, advanced technologies can be implemented. These include both sophisticated data acquisition systems and data processing algorithms, aiming at the constant and discreet monitoring of persons whilst raising alarm if immediate attention is required.
Computer Systems for Healthcare and Medicine presents a novel look at the introduced problems, including proposed solutions in the form of automated data acquisition and processing systems, which were tested in various environments. Characteristic features include a wide range of sensors used to monitor the situation of the person, and accurate decision making algorithms, often based on the computational intelligence domain.
Technical topics discussed in the book include application for the healthcare of the following:
Infrared sensors
MEMS
Ultra wideband radars
Deep learning
Decision trees
Artificial neural networks
Gabor filters
Decision support systems
Chapter
Chapter 2 - A System for Elderly Persons Behaviour Wireless Monitoring
2.2 System for Mobility Investigation
2.4.2 Room Occupancy Determination
Chapter 3 - Polychromatic LED Device for Measuring the Critical Flicker Fusion Frequency
3.2 Colour Vision Theories
3.3 Physical and Physiological Characteristics of Colour
3.4 Colour Influence on the Organism
3.5 Basics of CFFF Method
3.6 Experiment Methodology
3.10 Experiment Performing
3.10.1 Mathematical and Statistical Processing
Chapter 4 - EIGER Indoor UWB-Positioning System
4.2 UWB-Positioning Subsystem
4.2.1 UWB System Architecture
4.2.3 UWB Radio Interface
4.2.4 Transmission Scheme
4.2.4.1 Transmission scheme
4.2.5 Positioning Algorithm
4.3.2 System Tests in Static Conditions
4.3.3 Localisation of Moving Objects
Chapter 5 - On Detection and Estimation of Breath Parameters Using Ultrawide Band Radar
5.2 Data Acquisition and Preprocessingfrom UWB Radar
5.2.1 Signal Reprezentation
5.4 Breath Detection in Real-Time System
5.4.1 Sofware Architecture
5.4.2 Movement Positioning
5.4.3 Suplementary Considerations
Chapter 6 - Gabor-Filter-based Longitudinal Strain Estimation fromTagged MRI
6.1 Theoretical Background
6.1.1 Tagged Magnetic Resonance Imaging (tMRI)
6.2 Materials and Methods
6.2.3 Longitudinal Strain Estimation Using Gabor Filter Bank
Chapter 7 - A Decision Support System for Localisation and Inventory Management in Healthcare
7.3 The DSS Optimisation Models
7.4 The “No-Expert Users” Functionalities of the DSS
7.5 The “Expert Users” Functionalities of the DSS
Chapter 8 - Deep Learning Classifier for Fall Detection Based on IR Distance Sensor Data
8.2 Statistical Classification
8.2.1 Selection of Statistical Learning Algorithm
8.2.2 Multilayer Perceptron as Discriminative Classifier
8.2.3 Preprocessing and Variable Selection
8.2.4 Generalisation and Quality Prediction
8.3 Methodology of Data Generation
8.4 Deep Learning Classifier
8.5.1 Neural Network Enhanced by Feature Selection
8.5.2 Deep Learning System
Chapter 9 - Decision Trees Implementation in Monitoring of Elderly Persons Based on the Depth Sensors Data
9.3 Architecture of the Monitoring System
9.4 Characteristics of the Acquired Data
9.4.1 Data Acquisition Technique
9.5 Extraction of Features
9.6.1 Tree Structure and Construction Algorithm
9.6.2 Tree Modification to Maximise Accuracy
Chapter 10 - Recurrent Approximation in the Tasks of the Neural Network Synthesis for the Control of Process of Phototherapy
10.2 Pointing the Task of Interaction between an Electron of Radical and Photon into Magnatic Field
10.3 Encoding and Decoding
10.4 Specific Features of Dose Calculation and Formation of the Spectral Composition of Radiation
10.4.1 Application of Data Mining for Decomposition of Scalar- or Vector-Function of Vector
10.4.2 Application of RANN and Problem of Analytic Learning for Neural Network
10.4.3 Modeling and Convergence of a Sequence of Synaptic Weight Coefficients (SWC)
10.5 Statement and Solution of the Control Efficiency Problem During Physiotherapy Process
10.5.1 Pointing the Problem of Minimizing the Objective Function
10.6 Modeling and Convergence of a Sequence of SWC
Computer Systems for Healthcare and Medicine
( River Publishers Series in Information Science and Technology )
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