| Author |
Session |
Start page |
Title |
| A A B C D E F G H I J K L M N O P Q R S T V W Z |
| A. Marquering, Henk |
S5.5 |
95 |
Red Alert: Break-Glass Protocol to Access Encrypted Medical Records in the Cloud |
| Abelem, Antonio Jorge |
S5.4 |
89 |
A Decentralized Protocol for Securely Storing and Sharing Health Records |
| Alencar, Nadyelle |
S5.3 |
83 |
Systematic Mapping on Mobile Applications Used in the Analysis and/or Improvement of the Quality of Life of Adolescents |
| Alian, Shadi |
S4.2 |
55 |
Personalized Meal Planning for Diabetic Patients Using a Multi-Criteria Decision-Making Approach |
| Alvear, Alcides |
S9.2 |
201 |
Implementation of Virtual Reality for the Treatment of People with Functional Disability |
| Amiri Tehrani Zadeh, Maryam Sadat |
S4.2 |
55 |
Personalized Meal Planning for Diabetic Patients Using a Multi-Criteria Decision-Making Approach |
| Andrade, Luiz |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Andrade, Odorico |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| S6.2 |
108 |
Quality of Health Service, Optimizing an IoT Solution with Diffserv and EWS Protocols |
| Anwar, Yumna |
S8.1 |
150 |
A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver |
| Arango Paredes, Juan David |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| Araujo, Kauã |
S5.3 |
83 |
Systematic Mapping on Mobile Applications Used in the Analysis and/or Improvement of the Quality of Life of Adolescents |
| Araujo, Roberto |
S5.4 |
89 |
A Decentralized Protocol for Securely Storing and Sharing Health Records |
| Arias, Fernando |
S6.5 |
125 |
RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples |
| Arzuaga, Emmanuel |
S6.5 |
125 |
RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples |
| Atreyaa A, Prahalad |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| Atsumori, Hirokazu |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| B A B C D E F G H I J K L M N O P Q R S T V W Z |
| Bacca Rodríguez, Jan |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| Bahrami, Mehdi |
S8.1 |
150 |
A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver |
| Bambos, Nicholas |
S3.1 |
25 |
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks |
| Barreto, Ivana Cristina de |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| Barzallo, Boris |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Buettner, Ricardo |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| S8.3 |
164 |
Efficient machine learning based detection of heart disease |
| S9.1 |
194 |
Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach |
| Burgdorf, Andreas |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| Büsing, Christina |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| C A B C D E F G H I J K L M N O P Q R S T V W Z |
| Carreño Perez, Airan Leonardo |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| Castaño-Pino, Yor |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Castillo Sánchez, Gema |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| Cellier, Léonore |
S3.2 |
31 |
An interdisciplinary approach for security, privacy and trust in the electronic medical record |
| Cevallos, Carlos |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| Cevallos, Yesenia |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
| Chiang, Po-Han |
S10.2 |
176 |
Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition |
| Clotet, Roger |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Corba Castaño, Yohana Lyceth |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| Cordonnier, Emmanuel |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Cortes-Rodriguez, Carlos |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| Cruz, Patricio |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| Cubillos Jimenez, Jose Misael |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| D A B C D E F G H I J K L M N O P Q R S T V W Z |
| da Costa, Leonardo |
S5.4 |
89 |
A Decentralized Protocol for Securely Storing and Sharing Health Records |
| de la Torre, Isabel |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| S10.4 |
188 |
A Mobile Health System to Empower Healthcare Services in Remote Regions |
| de Moura, César |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Dey, Sujit |
S10.2 |
176 |
Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition |
| Diaz Castillo, Oscar Daniel |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| Disdier, Shawn |
S9.2 |
201 |
Implementation of Virtual Reality for the Treatment of People with Functional Disability |
| E A B C D E F G H I J K L M N O P Q R S T V W Z |
| E. D. Groot, Adrien |
S5.5 |
95 |
Red Alert: Break-Glass Protocol to Access Encrypted Medical Records in the Cloud |
| Egi, Masashi |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| El Jaouhari, Saad |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Eric, Poiseau |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Estevez, Claudio |
S7.1 |
131 |
Smart Hospital LoRaWAN-based Backup Network Design that Monitors Critical Emergency and Standby Resources |
| F A B C D E F G H I J K L M N O P Q R S T V W Z |
| Fernandes, Marc |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| Ferreira, Lauanne |
S5.3 |
83 |
Systematic Mapping on Mobile Applications Used in the Analysis and/or Improvement of the Quality of Life of Adolescents |
| Filho, Raimundo Valter |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| S6.2 |
108 |
Quality of Health Service, Optimizing an IoT Solution with Diffserv and EWS Protocols |
| Franco Martín, Manuel A. |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| Freitas, Renato |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Fuhrmann, Jessica |
S9.1 |
194 |
Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach |
| Funane, Tsukasa |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| G A B C D E F G H I J K L M N O P Q R S T V W Z |
| Garcia, Andrea |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Garcia, Jose I. |
S6.3 |
113 |
Model-Based Design of Body Motion Sensing Technology using SysML and CPN |
| Ghernaouti, Solange |
S3.2 |
31 |
An interdisciplinary approach for security, privacy and trust in the electronic medical record |
| Ghose, Debasish |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
| Gibaud, Bernard |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Gomes de Sousa, Fabio José |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Gomez, Guillermo |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
| González-García, José |
S7.1 |
131 |
Smart Hospital LoRaWAN-based Backup Network Design that Monitors Critical Emergency and Standby Resources |
| Guachamín, Wilson |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| Guevara, Rubén |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| Guiffard, Eric |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Guillermo, Juan |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Guimarães, Tawana |
S5.3 |
83 |
Systematic Mapping on Mobile Applications Used in the Analysis and/or Improvement of the Quality of Life of Adolescents |
| H A B C D E F G H I J K L M N O P Q R S T V W Z |
| Hardy, Patrick |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Haßler, Marc |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| Hernandez, Jesse |
S7.3 |
142 |
The Human Eye as a Camera |
| Hernández Ramos, Amelia |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| Hirschmiller, Michael |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| Hoogendoorn, Mark |
S4.1 |
49 |
Identifying Patient Groups based on Frequent Patterns of Patient Samples |
| Huerta, Monica |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Hurtado, Celia E. |
S6.3 |
113 |
Model-Based Design of Body Motion Sensing Technology using SysML and CPN |
| I A B C D E F G H I J K L M N O P Q R S T V W Z |
| Igbe, Tobore |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Inca, Deysi |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
| J A B C D E F G H I J K L M N O P Q R S T V W Z |
| Jonas, Stephan |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| K A B C D E F G H I J K L M N O P Q R S T V W Z |
| Kanaan, Georges |
S7.3 |
142 |
The Human Eye as a Camera |
| Kandwal, Abhishek |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Khan, Arshia |
S8.1 |
150 |
A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver |
| Khokhar, Humza |
S7.3 |
142 |
The Human Eye as a Camera |
| Kiguchi, Masashi |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| Kohlschein, Christian |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| Kolb, Laura |
S9.1 |
194 |
Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach |
| Kong, Jun |
S5.2 |
77 |
Alexa, What Should I Eat? A Personalized Virtual Nutrition Coach for Native American Diabetes Patients Using Amazon's Smart Speaker Technology |
| Kuriyama, Hiroyuki |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| L A B C D E F G H I J K L M N O P Q R S T V W Z |
| Lam, Derek |
S7.3 |
142 |
The Human Eye as a Camera |
| Leitner, Jared |
S10.2 |
176 |
Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition |
| Lemonnier, Philippe |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Li, Jingzhen |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Li, Juan |
S4.2 |
55 |
Personalized Meal Planning for Diabetic Patients Using a Multi-Criteria Decision-Making Approach |
| S5.2 |
77 |
Alexa, What Should I Eat? A Personalized Virtual Nutrition Coach for Native American Diabetes Patients Using Amazon's Smart Speaker Technology |
| Li, Sinan |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Liu, Yuhang |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Liu Cheng, Alexander |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| Llorca Vega, Nestor |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| López, Omar |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| LU, Xixi |
S4.1 |
49 |
Identifying Patient Groups based on Frequent Patterns of Patient Samples |
| M A B C D E F G H I J K L M N O P Q R S T V W Z |
| Maharjan, Bikesh |
S5.2 |
77 |
Alexa, What Should I Eat? A Personalized Virtual Nutrition Coach for Native American Diabetes Patients Using Amazon's Smart Speaker Technology |
| Mann, Christina |
S7.3 |
142 |
The Human Eye as a Camera |
| Mann, Steve |
S7.3 |
142 |
The Human Eye as a Camera |
| Marin-Alvarez, Joseph |
S5.1 |
73 |
Hypertension Prevention in a Human Settlement of the Peruvian Capital Using Information and Communications Technology |
| Martins de Oliveira, Pedro |
S5.3 |
83 |
Systematic Mapping on Mobile Applications Used in the Analysis and/or Improvement of the Quality of Life of Adolescents |
| Mathewson, Kyle |
S7.3 |
142 |
The Human Eye as a Camera |
| Mejia, Francisco |
S6.3 |
113 |
Model-Based Design of Body Motion Sensing Technology using SysML and CPN |
| Mejia, Jeison |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| Michalas, Antonis |
S5.5 |
95 |
Red Alert: Break-Glass Protocol to Access Encrypted Medical Records in the Cloud |
| Miller, Daniel |
S3.1 |
25 |
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks |
| Montanez, Karla |
S9.2 |
201 |
Implementation of Virtual Reality for the Treatment of People with Functional Disability |
| Montilla, Linda |
S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Munoz, Beatriz |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Muñoz Sánchez, Juan L. |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| Muñoz-Sarmiento, Diana Marcela |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| Murari, Shivam |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| N A B C D E F G H I J K L M N O P Q R S T V W Z |
| Nakagawa, Hiromitsu |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| Navarro, Andres |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Nie, Ze-dong |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Nishimura, Ayako |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| O A B C D E F G H I J K L M N O P Q R S T V W Z |
| Obata, Akiko |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| Olabarriaga, Silvia |
S5.5 |
95 |
Red Alert: Break-Glass Protocol to Access Encrypted Medical Records in the Cloud |
| Oliveira, Antonio |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| S6.2 |
108 |
Quality of Health Service, Optimizing an IoT Solution with Diffserv and EWS Protocols |
| Oliveira, Mauro |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Orozco, Jorge Luis |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Ortiz, Esteban |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| P A B C D E F G H I J K L M N O P Q R S T V W Z |
| Pahwa, Piyush |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| Parra Ayala, Luz Janneth |
S1.2 |
5 |
Supervised learning system for detection of cardiac arrhythmias based on electrocardiographic data |
| Pasquier, Guillaume |
S3.4 |
43 |
Introduction to DICOM-RTV: a new standard for real-time video communication in hospitals |
| Pierce, Cayden |
S7.3 |
142 |
The Human Eye as a Camera |
| Piette, Luke |
S7.3 |
142 |
The Human Eye as a Camera |
| Pinheiro, Billy |
S5.4 |
89 |
A Decentralized Protocol for Securely Storing and Sharing Health Records |
| Pomp, André |
S1.1 |
1 |
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment |
| Q A B C D E F G H I J K L M N O P Q R S T V W Z |
| Quispe-Sipan, Jacqueline |
S5.1 |
73 |
Hypertension Prevention in a Human Settlement of the Peruvian Capital Using Information and Communications Technology |
| R A B C D E F G H I J K L M N O P Q R S T V W Z |
| R, Anupama |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| Rabelo, Ricardo |
S10.4 |
188 |
A Mobile Health System to Empower Healthcare Services in Remote Regions |
| Ramachandran, Anita |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| Ramesh, Adarsh |
S4.4 |
67 |
Performance Analysis of Machine Learning Algorithms for Fall Detection |
| Ramos, André |
S10.4 |
188 |
A Mobile Health System to Empower Healthcare Services in Remote Regions |
| Ramos, Ronaldo |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| Reijers, Hajo A |
S4.1 |
49 |
Identifying Patient Groups based on Frequent Patterns of Patient Samples |
| Ribadeneira, Benito |
S2.1 |
13 |
Development of An Adaptive Staircase System Actuated by Facial-, Object-, and Voice-Recognition |
| Ribeiro, Morgana |
S10.3 |
182 |
GIRLS, a Gateway for Interoperability of electronic health Record in the Low-cost System |
| Rincon, Domiciano |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Rivas, David |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Rodrigues, Antonio Wendell |
S6.2 |
108 |
Quality of Health Service, Optimizing an IoT Solution with Diffserv and EWS Protocols |
| Rodrigues, Joel |
S2.2 |
19 |
Development of an E-learning Model for Training Health Staff in Suicide Prevention |
| S10.4 |
188 |
A Mobile Health System to Empower Healthcare Services in Remote Regions |
| Rössle, Manfred |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| S A B C D E F G H I J K L M N O P Q R S T V W Z |
| Santiago Lopes Pereira, Silas |
S6.1 |
102 |
Data Mining and Risk Analysis Supporting Decision in Brazilian Public Health Systems |
| Saraguro, Williams |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Sarmiento, Luis |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| Scheinker, David |
S3.1 |
25 |
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks |
| Schlosser, Kevin |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| Schunter, Marc |
S8.3 |
164 |
Efficient machine learning based detection of heart disease |
| Shin, Andrew |
S3.1 |
25 |
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks |
| Sierra, Heidy |
S6.5 |
125 |
RCMDD: A Denoising Architecture for Improved Recovery of Reflectance Confocal Microscopy Images of Skin from Compressive Samples |
| Silva, Bruno |
S10.4 |
188 |
A Mobile Health System to Empower Healthcare Services in Remote Regions |
| Soto, Angel |
S3.3 |
37 |
Analysis of hand movements in patients with Parkinson's Disease using Kinect |
| Sotomayor-Beltran, Carlos |
S5.1 |
73 |
Hypertension Prevention in a Human Settlement of the Peruvian Capital Using Information and Communications Technology |
| Stairs, Jeremy |
S7.3 |
142 |
The Human Eye as a Camera |
| Sutoko, Stephanie |
S2.3 |
|
Mental Health Monitoring System using Multimodality Measurements |
| T A B C D E F G H I J K L M N O P Q R S T V W Z |
| Tabatabaei, Seyed Amin |
S4.1 |
49 |
Identifying Patient Groups based on Frequent Patterns of Patient Samples |
| Tao, Cui |
S5.2 |
77 |
Alexa, What Should I Eat? A Personalized Virtual Nutrition Coach for Native American Diabetes Patients Using Amazon's Smart Speaker Technology |
| Tello-Oquendo, Luis |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
| Timm, Ingo |
S8.2 |
158 |
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data |
| Tuler de Oliveira, Marcela |
S5.5 |
95 |
Red Alert: Break-Glass Protocol to Access Encrypted Medical Records in the Cloud |
| V A B C D E F G H I J K L M N O P Q R S T V W Z |
| Valderrama, Jaime |
S1.3 |
9 |
Kinect™ and Intel RealSense™ D435 comparison:a preliminary study for motion analysis |
| S6.4 |
119 |
Wearable system to measure asymmetry by sensing arms swing |
| Viana, David |
S6.2 |
108 |
Quality of Health Service, Optimizing an IoT Solution with Diffserv and EWS Protocols |
| Villamizar, Sergio |
S7.2 |
137 |
Recognition of silent speech syllables for Brain-Computer Interfaces |
| W A B C D E F G H I J K L M N O P Q R S T V W Z |
| Wang, Lei |
S4.3 |
61 |
Analysis of ECG Segments for Non-Invasive Blood Glucose Monitoring |
| Ward, Andrew |
S3.1 |
25 |
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks |
| Z A B C D E F G H I J K L M N O P Q R S T V W Z |
| Zadeh Shirazi, Amin |
S10.1 |
170 |
Health Applications Based on Molecular Communications: A Brief Review |
