Search Results - "Martell, Mario Alberto Chapa"

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  1. 1

    Validity of Consumer Activity Wristbands and Wearable EEG for Measuring Overall Sleep Parameters and Sleep Structure in Free-Living Conditions by Liang, Zilu, Chapa Martell, Mario Alberto

    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
  2. 2

    Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors by Liang, Zilu, Chapa-Martell, Mario Alberto

    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
  3. 3

    A Multi-Level Classification Approach for Sleep Stage Prediction With Processed Data Derived From Consumer Wearable Activity Trackers by Liang, Zilu, Chapa-Martell, Mario Alberto

    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
  4. 4

    Not All Errors Are Created Equal: Influence of User Characteristics on Measurement Errors of Consumer Wearable Devices for Sleep Tracking by Liang, Zilu, Alberto Chapa Martell, Mario

    “…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
  5. 5

    A Pervasive Sensing Approach to Automatic Assessment of Trunk Coordination Using Mobile Devices by Liang, Zilu, Yoshida, Yasuyuki, Iino, Nami, Nishimura, Takuichi, Alberto Chapa-Martell, Mario, Nishimura, Satoshi

    “…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
  6. 6
  7. 7

    Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands by Liang, Zilu, Chapa-Martell, Mario Alberto

    “…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
  8. 8

    Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands by Liang, Zilu, Martell, Mario Alberto Chapa

    “…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
  9. 9

    A Personalized Approach for Detecting Unusual Sleep from Time Series Sleep-Tracking Data by Zilu Liang, Martell, Mario Alberto Chapa, Nishimura, Takuichi

    “…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
  10. 10

    A Top-Down Approach to Teaching Web Development in the Cloud by Zilu Liang, Chapa-Martell, Mario Alberto

    “…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
  11. 11

    Considering interpersonal differences in validating wearable sleep-tracking technologies by Liang, Zilu, Martell, Mario Alberto Chapa

    “…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
  12. 12

    Nurturing wearable and mHealth technologies for self-care: Mindset, tool set and skill set by Zilu Liang, Nagata, Yukiko, Martell, Mario Alberto Chapa, Nishimura, Takuichi

    “…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