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Pedro Elkind Velmovitsky
Pedro Elkind Velmovitsky
University Health Network
Dirección de correo verificada de uhn.ca
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Disruptive technologies for environment and health research: an overview of artificial intelligence, blockchain, and internet of things
F M. Bublitz, A Oetomo, K S. Sahu, A Kuang, L X. Fadrique, ...
International journal of environmental research and public health 16 (20), 3847, 2019
1282019
A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home
AI Paganelli, PE Velmovitsky, P Miranda, A Branco, P Alencar, D Cowan, ...
Internet of Things 18, 100399, 2022
982022
Convergence of precision medicine and public health into precision public health: toward a big data perspective
PE Velmovitsky, T Bevilacqua, P Alencar, D Cowan, PP Morita
Frontiers in Public Health 9, 561873, 2021
532021
Blockchain applications in health care and public health: increased transparency
PE Velmovitsky, FM Bublitz, LX Fadrique, PP Morita
JMIR medical informatics 9 (6), e20713, 2021
442021
A blockchain-based consent platform for active assisted living: modeling study and conceptual framework
PE Velmovitsky, PADSES Miranda, H Vaillancourt, T Donovska, J Teague, ...
Journal of medical Internet research 22 (12), e20832, 2020
252020
Proposed implementation of blockchain in british columbia’s health care data management
D Cadoret, T Kailas, P Velmovitsky, P Morita, O Igboeli
Journal of Medical Internet Research 22 (10), e20897, 2020
152020
Cross dataset analysis for generalizability of HRV-based stress detection models
M Benchekroun, PE Velmovitsky, D Istrate, V Zalc, PP Morita, D Lenne
Sensors 23 (4), 1807, 2023
142023
Practical Reasoning in an Argumentation-based Decision BDI Agent: a Case Study for Participatory Management of Protected Areas
PE Velmovitsky, JP Briot, M Viana, CJP de Lucena
29th International Conference on Software Engineering & Knowledge …, 2017
132017
Using apple watch ECG data for heart rate variability monitoring and stress prediction: A pilot study
PE Velmovitsky, P Alencar, ST Leatherdale, D Cowan, PP Morita
Frontiers in Digital Health 4, 1058826, 2022
112022
Towards real-time public health: a novel mobile health monitoring system
PE Velmovitsky, P Alencar, ST Leatherdale, D Cowan, PP Morita
2021 IEEE International Conference on Big Data (Big Data), 6049-6051, 2021
72021
IoT-Based COVID-19 Health Monitoring System: Context, Early Warning and Self-Adaptation
AI Paganelli, A Branco, M Endler, PE Velmovitsky, P Miranda, PP Morita, ...
2021 IEEE International Conference on Big Data (Big Data), 5975-5977, 2021
62021
Can heart rate variability data from the Apple Watch electrocardiogram quantify stress?
PE Velmovitsky, M Lotto, P Alencar, ST Leatherdale, D Cowan, PP Morita
Frontiers in Public Health 11, 1178491, 2023
42023
A novel mobile platform for stress prediction: application, protocol and preliminary results
PE Velmovitsky, P Alencar, ST Leatherdale, D Cowan, PP Morita
Proceedings of the 2022 Workshop on Emerging Devices for Digital Biomarkers …, 2022
42022
Promoting reusability and extensibility in the engineering of domain-specific conversational systems
PE Velmovitsky, M Viana, E Cirilo, RL Milidiu, PP Morita, CJP de Lucena
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 473-478, 2019
22019
iBot: an agent-based software framework for creating domain conversational agents
PE Velmovitsky
MSc dissertation, Pontifical Catholic University of Rio de Janeiro, Brazil, 2018
22018
A novel self-adaptive method for improving patient monitoring with composite early-warning scores
AI Paganelli, PE Velmovitsky, A Branco, M Endler, PP Morita, P Alencar, ...
2022 IEEE International Conference on Big Data (Big Data), 201-208, 2022
12022
Application of a mobile health data platform for public health surveillance: A case study in stress monitoring and prediction
PE Velmovitsky, P Alencar, ST Leatherdale, D Cowan, PP Morita
Digital Health 10, 20552076241249931, 2024
2024
Use of Smart Technology Tools for Supporting Public Health Surveillance: From Development of a Mobile Health Platform to Application in Stress Prediction
PE Velmovitsky
University of Waterloo, 2023
2023
A public health ethics exploration of a novel mobile health application for public health surveillance
T Hanjahanja-Phiri, P Velmovitsky, P Morita
Population Medicine 5 (Supplement), 2023
2023
Can the apple watch ECG app be successfully used for measuring stress?
P Velmovitsky, P Alencar, M Lotto, S Leatherdale, D Cowan, P Morita
Population Medicine 5 (Supplement), 2023
2023
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