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Wearable Sensors and Robots [[electronic resource] ] : Proceedings of International Conference on Wearable Sensors and Robots 2015 / / edited by Canjun Yang, G. S. Virk, Huayong Yang
Wearable Sensors and Robots [[electronic resource] ] : Proceedings of International Conference on Wearable Sensors and Robots 2015 / / edited by Canjun Yang, G. S. Virk, Huayong Yang
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XI, 587 p. 367 illus., 242 illus. in color.)
Disciplina 629.892
Collana Lecture Notes in Electrical Engineering
Soggetto topico Robotics
Automation
Biomedical engineering
Artificial intelligence
Engineering design
Mechatronics
Robotics and Automation
Biomedical Engineering and Bioengineering
Artificial Intelligence
Engineering Design
ISBN 981-10-2404-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword -- Introduction: The research hotspots and difficulties in wearable sensor and robot -- Design of sensors and actuators -- Wearable sensors -- Advanced control system -- Clinical applications -- Rehabilitation robotics -- Other robotics related sections -- Research progress -- Acknowledgements and contributions.
Record Nr. UNINA-9910254339103321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wearable systems based gait monitoring and analysis / / Shuo Gao [and three others]
Wearable systems based gait monitoring and analysis / / Shuo Gao [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (244 pages)
Disciplina 612.76
Soggetto topico Biomedical engineering
Human-machine systems
Biomechanics
ISBN 3-030-97332-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgments -- Contents -- About the Authors -- Chapter 1: Introduction -- References -- Chapter 2: Gait Characteristics -- 2.1 Physical Parameters of Gait -- 2.1.1 Time Parameters -- 2.1.1.1 Stance Phase -- 2.1.1.2 Swing Phase -- 2.1.2 Mechanical Parameters -- 2.1.3 Spatial Parameters -- 2.1.4 Electrical Parameters -- 2.2 The Influences of Age, Occupation, and Disease on Gait -- 2.2.1 Age-Related Gait Changes -- 2.2.1.1 Gait Changes in Children -- 2.2.1.2 Gait Changes in the Elderly -- 2.2.2 Occupation-Related Gait Changes -- 2.2.2.1 Physical Labor Burden -- 2.2.2.2 Chronic Knee Strain -- 2.2.2.3 Prolonged Standing -- 2.2.2.4 Sedentariness -- 2.2.3 Disease-Related Gait Changes -- 2.2.3.1 Low-Level Peripheral Motor Organ Abnormalities -- 2.2.3.2 Medium-Level Motor Sensory Pathway Abnormalities -- 2.2.3.3 High-Level Nerve Control Abnormalities -- Chapter 3: Gait Detection Technologies -- 3.1 Footprint and Bulky Systems -- 3.1.1 Footprint -- 3.1.2 Force Platforms -- 3.1.3 Motion Capture System -- 3.2 Wearable Systems -- 3.2.1 Wearable Plantar Pressure Detection Systems -- 3.2.1.1 Insole Sensor Design -- Resistive-Based Techniques -- Capacitive-Based Sensors -- Piezoelectric-Based Sensors -- Inductive-Based Sensors -- Optical-Based Sensors -- Air-Pressure-Based Sensors -- Comparison of Plantar Stress Sensing Techniques -- 3.2.1.2 Layout of the Sensing Elements -- Sensor Size -- Sensor Layout -- 3.2.2 IMU-Based Systems -- 3.2.2.1 Wearable Inertial Measurement Unit -- Independent Measuring Devices -- IMU Calibration Methods -- Zero-Velocity Update (ZUPT) -- GPS-Based Sensors -- Distance Measurement-Based Sensors -- 3.2.2.2 Arthrokinematics Calculation -- The 2D Arthrokinematics Case -- The 3D Arthrokinematics Case -- Alignment of Sensing Direction of Inertial Component and Skeleton Orientation -- 3.2.2.3 Conclusions.
3.2.3 EMG-Based Systems -- 3.2.3.1 Electrodes -- Electrodes Forms and Implant Methods -- Detected Muscle Selection -- Front-End Acquisition Circuit -- 3.2.3.2 Readout and Transmission Circuit -- Chapter 4: Gait Analysis Algorithms -- 4.1 Plantar Pressure Distribution Interpretation -- 4.1.1 Plantar Stress Distribution Reconstruction -- 4.1.1.1 Fitting -- 4.1.1.2 Compressed Sensing -- 4.1.1.3 Machine Learning -- 4.1.2 Pressure-Related Parameters Extraction -- 4.1.2.1 Direct Means -- 4.1.2.2 Calculation with Machine Learning -- 4.1.3 The Registration of Plantar Pressure Mapping -- 4.1.4 Classification Algorithms -- 4.2 EMG Pattern Recognition -- 4.2.1 Denoising Algorithms -- 4.2.1.1 Wavelet Analysis-Based Methods -- Discrete Wavelet Transform (DWT) Method -- Wavelet Time-frequency Analysis -- 4.2.1.2 EMG Signal Denoising Based on Empirical Mode Decomposition (EMD) -- 4.2.2 Feature Extraction and Dimensionality Reduction Algorithms -- 4.2.2.1 Feature Extraction -- 4.2.2.2 Dimensionality Reduction -- Feature Projection -- Feature Selection -- 4.2.3 Classification Algorithms -- 4.3 IMU-Based Motion Classification Algorithms -- 4.3.1 Feature Extraction and Dimensionality Reduction Algorithms -- 4.3.1.1 Feature Extraction -- 4.3.1.2 Dimensionality Reduction -- 4.3.2 Classification Algorithms -- 4.3.2.1 Traditional Machine Learning Algorithms -- 4.3.2.2 Deep Learning Algorithms -- 4.3.3 Motion Simulation and Generation Algorithms -- 4.3.3.1 Motion Simulation Algorithms -- Motion Sequence Representation -- Motion Optimization -- 4.3.3.2 Data-Driven Motion Generation Algorithms -- Motion Graph-Based Methods -- Deep Learning-Based Methods -- 4.3.3.3 Physics-Driven Motion Generation Algorithms -- Dynamics-Based Methods -- Biomechanics-Based Methods -- 4.3.3.4 Data-Physics Hybrid Driven Motion Generation Algorithms -- 4.4 Multi-sensory Fusion.
4.4.1 Plantar Pressure with EMG -- 4.4.2 Plantar Pressure with IMU -- 4.4.3 IMU with EMG -- 4.4.4 Fusion of Plantar Pressure, IMU, and EMG Sensors -- 4.4.5 Two Case Studies of Multisensory Fusion -- 4.4.5.1 Methodology -- Experiment Setup -- Data Pre-processing -- Feature Extraction -- Establishment of SVM Model -- Evaluation of the Selected Features and the SVM Model -- 4.4.5.2 Results and Discussions -- EMG and GRF Profiles -- Statistical Features in Different Terrains -- Training Performance of SVM and Comparison Between the EMG and GRF Features -- 4.4.5.3 Methodology -- System Integration -- Algorithm Development -- Experimental Protocol -- 4.4.5.4 Result and Discussion -- Hardware Performance -- Algorithm Performance -- Chapter 5: Medical Applications -- 5.1 Neural Disease Analysis -- 5.1.1 Parkinson -- 5.1.2 Diabetes -- 5.1.3 Cerebral Palsy -- 5.1.4 Cerebellar Ataxia -- 5.1.5 Others -- 5.2 Orthopaedic Disease Analysis -- 5.2.1 Flatfoot -- 5.2.2 Knee Osteoarthritis -- 5.2.3 Low Back Pain -- 5.2.4 Total Joint Replacement -- 5.3 Rehabilitation Progress Tracking -- 5.3.1 Post-stroke Rehabilitation Tracking -- 5.3.2 Falling Risk Prediction -- 5.3.3 Mental Illness Rehabilitation Tracking -- 5.4 The Internet of Health Things -- Chapter 6: Conclusion -- 6.1 PSD -- 6.2 IMU -- 6.3 EMG -- Index.
Record Nr. UNINA-9910553067203321
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wearable technology in medicine and health care / / Raymond Kai-Yu Tong
Wearable technology in medicine and health care / / Raymond Kai-Yu Tong
Autore Tong Raymond (Raymond Kai-yu)
Pubbl/distr/stampa London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018]
Descrizione fisica 1 online resource (342 pages)
Disciplina 610.28
Soggetto topico Biosensors
Biomedical engineering
Wearable technology
ISBN 0-12-849881-1
0-12-811810-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910583466803321
Tong Raymond (Raymond Kai-yu)  
London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wearables in healthcare : second EAI International Conference, HealthWear 2020, Virtual event, December 10-11, 2020, Proceedings / / Paolo Perego, Nima TaheriNejad, Maurizio Caon (editors)
Wearables in healthcare : second EAI International Conference, HealthWear 2020, Virtual event, December 10-11, 2020, Proceedings / / Paolo Perego, Nima TaheriNejad, Maurizio Caon (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (X, 209 p. 81 illus., 66 illus. in color.)
Disciplina 610.28
Collana Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering
Soggetto topico Biomedical engineering
ISBN 3-030-76066-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Blood Pressure Estimation using a Single PPG Signal -- Multi-level Motion Artifacts Reduction in Photoplethysmography Signal using Singular Value Decomposition -- Intraoral Monitoring of Photoplethysmogram Signal to Estimate Cardiorespiratory Parameters -- Empowering the Citizen in the Main Pillars of Health by Using IoT -- Sharing Wearable Health Data using User-defined Blockchain Policies -- Wearable textile-based device for human lower-limbs kinematics and muscle activity sensing -- Integration of Wearable Inertial Sensors and Mobile Technology for Outpatient Functional Assessment: a Paradigmatic Application to Evaluate Shoulder Stability -- Multimodal Wearable System for Motor Rehabilitation - Design perspective and Development -- Quality-by-Design Development of a Patient Mobility e-Monitoring System -- Wear-to-Care. Co-designing the Next Wave of Open Wearables in the Healthcare sector -- Parametric Design and Data Visualization for Orthopedic Devices -- Design of an innovative integrated system for upper limb prosthesis Participant modeling: The use of a guided master in the modern world of Virtual Reality Exposure Therapy -- Automatic assessment of Clinical Frailty of Parkinson’s Disease subjects by wearable actigraphy -- Development of a wearable sensors system to monitor foot-transmitted vibration -- ADLs Detection with a Wrist-Worn Accelerometer in Uncontrolled Conditions.
Record Nr. UNINA-9910484198703321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearables in healthcare : second EAI International Conference, HealthWear 2020, Virtual event, December 10-11, 2020, Proceedings / / Paolo Perego, Nima TaheriNejad, Maurizio Caon (editors)
Wearables in healthcare : second EAI International Conference, HealthWear 2020, Virtual event, December 10-11, 2020, Proceedings / / Paolo Perego, Nima TaheriNejad, Maurizio Caon (editors)
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (X, 209 p. 81 illus., 66 illus. in color.)
Disciplina 610.28
Collana Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering
Soggetto topico Biomedical engineering
ISBN 3-030-76066-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Blood Pressure Estimation using a Single PPG Signal -- Multi-level Motion Artifacts Reduction in Photoplethysmography Signal using Singular Value Decomposition -- Intraoral Monitoring of Photoplethysmogram Signal to Estimate Cardiorespiratory Parameters -- Empowering the Citizen in the Main Pillars of Health by Using IoT -- Sharing Wearable Health Data using User-defined Blockchain Policies -- Wearable textile-based device for human lower-limbs kinematics and muscle activity sensing -- Integration of Wearable Inertial Sensors and Mobile Technology for Outpatient Functional Assessment: a Paradigmatic Application to Evaluate Shoulder Stability -- Multimodal Wearable System for Motor Rehabilitation - Design perspective and Development -- Quality-by-Design Development of a Patient Mobility e-Monitoring System -- Wear-to-Care. Co-designing the Next Wave of Open Wearables in the Healthcare sector -- Parametric Design and Data Visualization for Orthopedic Devices -- Design of an innovative integrated system for upper limb prosthesis Participant modeling: The use of a guided master in the modern world of Virtual Reality Exposure Therapy -- Automatic assessment of Clinical Frailty of Parkinson’s Disease subjects by wearable actigraphy -- Development of a wearable sensors system to monitor foot-transmitted vibration -- ADLs Detection with a Wrist-Worn Accelerometer in Uncontrolled Conditions.
Record Nr. UNISA-996464387303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Wellness Protocol for Smart Homes [[electronic resource] ] : An Integrated Framework for Ambient Assisted Living / / by Hemant Ghayvat, Subhas Chandra Mukhopadhyay
Wellness Protocol for Smart Homes [[electronic resource] ] : An Integrated Framework for Ambient Assisted Living / / by Hemant Ghayvat, Subhas Chandra Mukhopadhyay
Autore Ghayvat Hemant
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XI, 160 p. 115 illus. in color.)
Disciplina 696
Collana Smart Sensors, Measurement and Instrumentation
Soggetto topico Electronics
Microelectronics
Physical measurements
Measurement   
Data mining
Biomedical engineering
Environmental monitoring
Electronics and Microelectronics, Instrumentation
Measurement Science and Instrumentation
Data Mining and Knowledge Discovery
Biomedical Engineering and Bioengineering
Monitoring/Environmental Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works.
Record Nr. UNINA-9910159371003321
Ghayvat Hemant  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wiley interdisciplinary reviews Nanomedicine and nanobiotechnology
Wiley interdisciplinary reviews Nanomedicine and nanobiotechnology
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons
Descrizione fisica 1 online resource
Soggetto topico Nanomedicine
Nanotechnology
Biotechnology
Ultrastructure (Biology)
Biomedical engineering
Biomedical Engineering
Nanomédecine
Nanotechnologie
Génie biomédical
Biotechnologie
Ultrastructure (Biologie)
Soggetto genere / forma Periodical
Periodicals.
Soggetto non controllato Technology - General
ISSN 1939-0041
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Nanomedicine and nanobiotechnology
Record Nr. UNINA-9910154505203321
Hoboken, New Jersey : , : John Wiley & Sons
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wiley interdisciplinary reviews Nanomedicine and nanobiotechnology
Wiley interdisciplinary reviews Nanomedicine and nanobiotechnology
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons
Descrizione fisica 1 online resource
Soggetto topico Nanomedicine
Nanotechnology
Biotechnology
Ultrastructure (Biology)
Biomedical engineering
Biomedical Engineering
Nanomédecine
Nanotechnologie
Génie biomédical
Biotechnologie
Ultrastructure (Biologie)
Soggetto genere / forma Periodical
Periodicals.
Soggetto non controllato Technology - General
ISSN 1939-0041
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Nanomedicine and nanobiotechnology
Record Nr. UNISA-996198609103316
Hoboken, New Jersey : , : John Wiley & Sons
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Wireless Cortical Implantable Systems [[electronic resource] /] / by Vahid Majidzadeh Bafar, Alexandre Schmid
Wireless Cortical Implantable Systems [[electronic resource] /] / by Vahid Majidzadeh Bafar, Alexandre Schmid
Autore Majidzadeh Bafar Vahid
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (193 p.)
Disciplina 617.4810592
Soggetto topico Electrical engineering
Biomedical engineering
Electronics
Microelectronics
Communications Engineering, Networks
Biomedical Engineering and Bioengineering
Electronics and Microelectronics, Instrumentation
ISBN 1-4614-6702-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- State of the Art -- Power Transmission and Voltage Regulation -- Circuit design for ultra low-noise and low-power sensor interface -- Circuits and Systems for Multi-Channel Neural Recording -- Digital Impulse Radio Ultra Wide-Band Transmitter -- Summary and Conclusions.
Record Nr. UNINA-9910739447003321
Majidzadeh Bafar Vahid  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wireless Power Transfer and Data Communication for Neural Implants [[electronic resource] ] : Case Study: Epilepsy Monitoring / / by Gürkan Yilmaz, Catherine Dehollain
Wireless Power Transfer and Data Communication for Neural Implants [[electronic resource] ] : Case Study: Epilepsy Monitoring / / by Gürkan Yilmaz, Catherine Dehollain
Autore Yilmaz Gürkan
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XII, 110 p. 65 illus., 60 illus. in color.)
Disciplina 612.82
Collana Analog Circuits and Signal Processing
Soggetto topico Electronic circuits
Biomedical engineering
Electronics
Microelectronics
Circuits and Systems
Biomedical Engineering and Bioengineering
Electronics and Microelectronics, Instrumentation
ISBN 3-319-49337-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- System Overview -- Wireless Power Transfer -- Wireless Data Communication -- Packaging of the Implant -- System Level Experiments and Results -- Conclusion.
Record Nr. UNINA-9910157471703321
Yilmaz Gürkan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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