Mario Alberto Chapa Martell
Orcid: 0000-0002-4110-4346
According to our database1,
Mario Alberto Chapa Martell
authored at least 19 papers
between 2014 and 2021.
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Bibliography
2021
A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers.
Frontiers Digit. Health, 2021
2020
Validation of Omron Wearable Blood Pressure Monitor HeartGuide<sup>TM</sup> in Free-Living Environments.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020
A Two-stage Imbalanced Learning Method for Sleep Stages Classification using Consumer Activity Trackers.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019
2018
A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices.
EAI Endorsed Trans. Pervasive Health Technol., 2018
Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking.
EAI Endorsed Trans. Pervasive Health Technol., 2018
Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions.
J. Heal. Informatics Res., 2018
Proceedings of the IEEE International Conference on Teaching, 2018
2017
Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
Investigating Classroom Activities in English Conversation Lessons Based on Activity Coding and Data Visualization.
Proceedings of the New Frontiers in Artificial Intelligence, 2017
Considering interpersonal differences in validating wearable sleep-tracking technologies.
Proceedings of the Tenth International Conference on Mobile Computing and Ubiquitous Network, 2017
2016
A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
Mining hidden correlations between sleep and lifestyle factors from quantified-self data.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016
2015
Linear Performance-Breakdown Model: A Framework for GPU kernel programs performance analysis.
Int. J. Netw. Comput., 2015
Framing Self-quantification for Individual-level Preventive Health Care.
Proceedings of the HEALTHINF 2015, 2015
2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014