Wearable and Wireless Systems for Healthcare I : Gait and Reflex Response Quantification

• Autore: LeMoyne Robert
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 2nd ed.
• Descrizione fisica: 1 online resource (206 pages)
• Altri autori: MastroianniTimothy
• Nota di contenuto: Intro -- Preface -- Contents -- 1 Wearable and Wireless Systems for Gait Analysis and Reflex Quantification -- 1.1 Introduction -- 1.2 Summary of the Pending Chapters -- 1.3 Conclusion -- References -- 2 Traditional Clinical Evaluation of Gait and Reflex Response by Ordinal Scale -- 2.1 Introduction -- 2.2 Ordinal Scale for Quantification of Reflex Response -- 2.3 Ordinal Scale Technique for Gait -- 2.4 Ordinal Scale Strategy for Friedreich's Ataxia -- 2.5 Transition to Wearable and Wireless Systems -- 2.6 Conclusion -- References -- 3 Quantification Systems Appropriate for a Clinical Setting -- 3.1 Introduction -- 3.2 Conventional Systems for Gait Analysis -- 3.2.1 Foot Switches -- 3.2.2 Electrogoniometers -- 3.2.3 Electromyogram (EMG) -- 3.2.4 Metabolic Analysis -- 3.2.5 Optical Motion Cameras (Kinematics of Human Motion) -- 3.2.6 Force Plates -- 3.3 Synergistic Operation of Clinical Gait Laboratory Resources for Gait Analysis and Associated Signal Processing -- 3.4 Electromechanical Techniques for Reflex Quantification -- 3.5 Conclusion -- References -- 4 The Rise of Inertial Measurement Units -- 4.1 Introduction -- 4.2 Evolutionary Pathway for Inertial Sensors -- 4.3 Application Scenarios for Accelerometer Systems -- 4.4 Wireless Accelerometer Systems for Gait Analysis -- 4.5 Conclusion -- References -- 5 Portable Wearable and Wireless Systems for Gait and Reflex Response Quantification -- 5.1 Introduction -- 5.2 First Generation Wireless Reflex Quantification Device -- 5.3 Second Generation Wireless Reflex Quantification Device -- 5.4 Third Generation Wireless Quantified Reflex Device -- 5.5 Artificial Reflex System -- 5.6 Wireless Accelerometer Reflex Quantification System Characterizing Response and Latency -- 5.7 Fourth Generation Wireless Quantified Reflex Device -- 5.8 Gait Analysis Using Wearable and Wireless Accelerometer Nodes. ; 5.9 Virtual Proprioception -- 5.10 Further Applications of Wearable and Wireless Inertial Sensor Systems for Gait Quantification -- 5.11 Conclusion -- References -- 6 Smartphones and Portable Media Devices as Wearable and Wireless Systems for Gait and Reflex Response Quantification -- 6.1 Introduction -- 6.2 Smartphone Quantifying Gait as a Wireless Accelerometer Platform -- 6.3 Post-processing and Numerical Analysis for the Acquired Acceleration Waveform for Gait -- 6.4 Portable Media Device for Quantifying Gait as a Wireless Accelerometer Platform -- 6.5 Smartphone Wireless Accelerometer Platform for Quantification of Prosthetic Gait -- 6.6 Smartphone Wireless Gyroscope Platform for Quantification of Hemiplegic Reduced Arm Swing -- 6.7 Portable Media Device Functioning as a Wireless Gyroscope Platform for Quantification of Reduced Arm Swing for Erb's Palsy -- 6.8 Quantification of Patellar Tendon Reflex Response Through Portable Media Device and Smartphone as a Wireless Accelerometer Platform -- 6.9 Quantification of Patellar Tendon Reflex Response Through Smartphone and Portable Media Device as a Wireless Gyroscope Platform -- 6.10 Other Research Applications Regarding the Smartphone for Gait Analysis -- 6.11 Network Centric Therapy by Application of the Smartphone and Portable Media Device -- 6.12 Conclusion -- References -- 7 Bluetooth Inertial Sensors for Gait and Reflex Response Quantification with Perspectives Regarding Cloud Computing and the Internet of Things -- 7.1 Introduction -- 7.2 Utility of Bluetooth -- 7.3 Applications of Bluetooth Connected Sensors for Gait Analysis -- 7.4 Wearable and Wireless Inertial Sensors Using Bluetooth, Tablet, and Cloud Computing -- 7.5 Bluetooth Wireless Capability for Reflex Quantification -- 7.6 Relevance for Sensor Fusion -- 7.7 Internet of Things. ; 7.8 Network Centric Therapy: The Significance of Bluetooth -- 7.9 Conclusion -- References -- 8 Quantifying the Spatial Position Representation of Gait Through Sensor Fusion -- 8.1 Introduction -- 8.2 Sensor Level -- 8.3 Orientation Filter -- 8.3.1 Kalman Filter -- 8.3.2 Gradient Descent Orientation Filter -- 8.4 Quaternions -- 8.5 Zero Velocity Update -- 8.6 Velocity Estimation and Trajectory Formation -- 8.7 Network Centric Therapy and the Role of Sensor Fusion -- 8.8 Conclusion -- References -- 9 Role of Machine Learning for Gait and Reflex Response Classification -- 9.1 Introduction -- 9.2 Waikato Environment for Knowledge Analysis (WEKA) for Machine Learning Classification of Human Movement Characteristics Through Wearable and Wireless Devices -- 9.2.1 J48 Decision Tree -- 9.2.2 K-nearest Neighbors -- 9.2.3 Logistic Regression -- 9.2.4 Support Vector Machine -- 9.2.5 Multilayer Perceptron Neural Network -- 9.2.6 Attribute-Relation File Format (ARFF) File -- 9.3 Utility of Machine Learning with Future Perspective on Network Centric Therapy -- 9.4 Conclusion -- References -- 10 Homebound Therapy with Wearable and Wireless Systems -- 10.1 Introduction -- 10.2 Portable Media Device Wireless Accelerometer Platform for Assistive Device Usage Evaluation -- 10.3 Smartphone Wireless Gyroscope Platform for Ankle Rehabilitation -- 10.4 Portable Media Device Wireless Gyroscope Platform for a Wobble Board -- 10.5 Virtual Proprioception for Eccentric Training -- 10.6 Network Centric Therapy for Homebound Therapy with Wearable and Wireless Systems -- 10.7 Conclusion -- References -- 11 Future Perspective of Network Centric Therapy -- 12 Evolutions for Wearable and Wireless Systems -- 12.1 Introduction -- 12.2 Conformal Wearables and Wireless Inertial Sensor Systems -- 12.3 Miniaturized Wearable and Wireless Inertial Sensor Systems. ; 12.4 Context for the Appropriate Selection of a Wearable and Wireless System -- 12.5 Domains for Wearable and Wireless Systems for Healthcare: Gait Analysis, Homebound Therapy, and Quantifiable Exercise -- 12.6 Conclusion -- References -- 13 Gait Analysis with Advanced Wearable and Wireless Systems -- 13.1 Introduction -- 13.2 Conformal Wearables for Gait Analysis Quantification and Machine Learning Classification of Hemiplegic Gait -- 13.3 Conformal Wearables for Gait Analysis Quantification and Machine Learning Classification of a Compensatory Hemiplegic Gait Strategy -- 13.4 Conformal Wearables for Quantification of Hemiplegic Reduced Arm Swing During Gait with Machine Learning Classification -- 13.5 Miniaturized Wearables and Wireless Inertial Sensor Systems -- 13.6 Conclusion -- References -- 14 New Developments in Homebound Therapy Enabled Through Wearable and Wireless Systems -- 14.1 Introduction -- 14.2 Contrastive Diagnostics for Distinguishing a Hemiplegic Ankle Pair in Conjunction with Wearable and Wireless Systems with Machine Learning -- 14.3 Patient Specific Response to a Therapy Regimen Through the Application of a Wearable and Wireless System with Machine Learning -- 14.4 Longitudinal Evaluation of the Efficacy of a Therapy Regimen Through the Application of a Wearable and Wireless System with Machine Learning -- 14.5 Observations for Best Practices Regarding Hemiplegic Ankle Rehabilitation -- 14.6 Conclusion -- References -- 15 New Quantifiable Exercise with Wearable and Wireless Systems -- 15.1 Introduction -- 15.2 Conformal Wearables for Enabling Virtual Proprioception for Eccentric Training -- 15.3 Wearable System Applied to Eccentric Strength Training for the Shoulder Press Using Virtual Proprioception -- 15.4 Future Concepts for Augmented Quantified Exercise that Apply Wearable and Wireless Systems -- 15.5 Conclusion. ; References -- 16 Deep Learning and Spiking Neural Networks for Neuromorphic Applications for Classifying Health Status Using Wearable and Wireless Systems -- 16.1 Introduction -- 16.2 Deep Learning -- 16.3 Neuromorphic Artificial Intelligence -- 16.4 Conclusion -- References -- 17 Future Perspectives for Wearable and Wireless Systems for Healthcare -- 17.1 Introduction -- 17.2 Network Centric Therapy Transition to the Metaverse for Healthcare -- 17.3 Cybersecurity -- 17.4 Blockchain -- 17.5 Smartwatches -- 17.6 Conclusion -- References.
• Titolo autorizzato: Wearable and Wireless Systems for Healthcare I
• ISBN: 9789819724390; 9789819724383
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865264503321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Sensors, Measurement and Instrumentation Series