Search Results - "Martell, Mario Alberto Chapa"
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Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions
Published in Journal of healthcare informatics research (01-06-2018)“…Consumer sleep tracking technologies offer an unobtrusive and cost-efficient way to monitor sleep in free-living conditions. Technological advances in hardware…”
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Journal Article -
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Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors
Published in JMIR mHealth and uHealth (06-06-2019)“…It has become possible for the new generation of consumer wristbands to classify sleep stages based on multisensory data. Several studies have validated the…”
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Journal Article -
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A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers
Published in Frontiers in digital health (28-05-2021)“…Consumer wearable activity trackers, such as Fitbit are widely used in ubiquitous and longitudinal sleep monitoring in free-living environments. However, these…”
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Journal Article -
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Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking
Published in EAI endorsed transactions on pervasive health and technology (01-07-2018)“…Consumer sleep tracking devices are known to be inaccurate, but there is a lack of understanding of how user characteristics may affect the accuracy of these…”
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Journal Article -
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A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices
Published in EAI endorsed transactions on pervasive health and technology (01-07-2018)“…Assessing trunk coordination has many potential applications in health promotion. However, traditional bio-mechanical approaches are not suited for daily use…”
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Journal Article -
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Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification
“…Consumer activity wristbands such as Fitbit provide an affordable method for ubiquitous sleep sensing in daily settings. These devices are also increasingly…”
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Conference Proceeding -
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Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands
Published in 2019 IEEE International Conference on Healthcare Informatics (ICHI) (01-06-2019)“…Consumer sleep tracking wristbands such as Fitbit have been increasingly used in scientific studies to measure sleep outcomes. Nevertheless, many validation…”
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Conference Proceeding -
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Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands
Published in 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (01-03-2019)“…The recent rise of the Quantified Self movement has witnessed a significant increase in the adoption of consumer wearable wristbands for sleep tracking…”
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Conference Proceeding -
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A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data
Published in 2016 IEEE International Conference on Healthcare Informatics (ICHI) (01-10-2016)“…Nowadays emerging sleep-tracking technologies such as Fibit make it possible for individuals to collect personal sleep data. However, people find it difficult…”
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Conference Proceeding -
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A Top-Down Approach to Teaching Web Development in the Cloud
Published in 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (01-12-2018)“…The importance of web development education is increasingly gaining attention. However, the teaching of web development has a relatively undeveloped pedagogy…”
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Conference Proceeding -
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Considering interpersonal differences in validating wearable sleep-tracking technologies
Published in 2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU) (01-10-2017)“…This study investigated an important yet usually neglected question in validating consumer sleep tracking devices: does interpersonal difference play a role in…”
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Conference Proceeding -
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Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set
Published in 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) (01-09-2016)“…This study aimed to understand whether and how wearable technologies and mHealth services could be nurtured for self-care at the individual-level. We launched…”
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Conference Proceeding