Intelligent Systems for Rehabilitation Engineering. Группа авторов

      1  Cover

      2  Table of Contents

      3  Title page

      4  Copyright

      5  Preface

      6  Begin Reading

      7  Index

      8  End User License Agreement

      1 Chapter 1Figure 1.1 The architecture of the feed-forward neural network (FFNN) to obtain ...Figure 1.2 Block diagram representation of the intention estimation algorithm.Figure 1.3 The difficulty adjustment in games according to the flow model.

      2 Chapter 2Figure 2.1 Basic rehabilitation process.Figure 2.2 Restoration cycle.Figure 2.3 Robot system: upper limb rehabilitation.Figure 2.4 Automated restoration cycle.

      3 Chapter 3Figure 3.1 Components of wrist robot.Figure 3.2 Control room setup.Figure 3.3 Block diagram of proposed methodology for the identification of prope...Figure 3.4 Rehabilitation in case of nerve disorder.Figure 3.5 Remote monitoring and rehabilitation (IoT).

      4 Chapter 4Figure 4.1 An overall structure of smart health monitoring systems.Figure 4.2 The smart health monitoring framework.

      5 Chapter 5Figure 5.1 The working of Argus II Retinal Implant.

      6 Chapter 6Figure 6.1 Structure of artificial neuron.Figure 6.2 Convolution neural network.Figure 6.3 Layers of CNN.Figure 6.4 LSTM structure.Figure 6.5 Block diagram of hardware structure of smart stick.Figure 6.6 Structure of YOLO.Figure 6.7 Object detection results.

      7 Chapter 7Figure 7.1 Types of disabilities.Figure 7.2 Accessibility features for mobile app.Figure 7.3 Various services offered by the wireless service provider.Figure 7.4 Mobile apps for person with disability.

      8 Chapter 8Figure 8.1 (a) Traditional solar-powered wheelchair with bulky silicon solar pan...Figure 8.2 Basic block diagram of a power circuit in a solar-assisted wheelchair...Figure 8.3 Typical characteristics of a PV module.Figure 8.4 Boost converter MOSFET states, (a) when MOSFET is ON, (b) when MOSFET...Figure 8.5 Amplitude-based myoelectric system control mechanism.Figure 8.6 The block diagram of the EMG-based smart wheelchair control system.Figure 8.7 (a) Surface EMG, (b) Invasive EMG electrodes.Figure 8.8 Overlapping and non-overlapping window.Figure 8.9 Linear and non-linear classifications.Figure 8.10 IoT-enabled wheelchair connected with different modules and central ...

      9 Chapter 9Figure 9.1 Alphabets in American sign language.Figure 9.2 Gestures for movements.Figure 9.3 Flex sensors.Figure 9.4 Base flex sensor circuit. which is converted to digital using the dig...Figure 9.5 Arduino microcontroller.Figure 9.6 American sign language symbols.Figure 9.7 Hand gloves.Figure 9.8 Training mode.Figure 9.9 (a) System architecture (basic block of communication).Figure 9.9 (b) System architecture (gloves interfacing with microcontroller).Figure 9.9 (c) System architecture (with pattern matching feature).Figure 9.10 Flow diagram.Figure 9.11 Detection mode.Figure 9.12 Values and signal obtained.

      1 Chapter 1Table 1.1 Summary of certain articles related to the use of robotics for stroke ...Table 1.2 Summary of certain studies which explored smart robotics for rehabilit...Table 1.3 Summary of certain articles on the control and stability analysis.Table 1.4 List of some works done in areas with potential future.

      2 Chapter 3Table 3.1 Acceleration value of a healthy test person.Table 3.2 Acceleration value of a Parkinson disease affected person.Table 3.3 EMG value of the arm signal from a normal person.Table 3.4 EMG value of the arm signal from a Parkinson’s disease affected person...Table 3.5 EMG value of the foot signal from a normal person.Table 3.6 EMG value of the foot signal from a Parkinson’s disease affected perso...Table 3.7 EMG value of