Featured Articles

  • Towards Unobtrusive Patient Handling Activity Recognition for Reducing Injury Risk among Caregivers

    Towards Unobtrusive Patient Handling Activity Recognition for Reducing Injury Risk among Caregivers

    Nurses regularly perform patient handling activities. These activities with awkward postures expose healthcare providers to a high risk of overexertion injury. The recognition of patient handling activities is the first step to timely detect the injury development then reduce injury risk for caregivers. The current practice on workplace activity recognition is based on human observational approach, which is neither accurate nor projectable to a large population. In this paper, we aim at addressing these challenges.

  • Special Issue on Nutrition Informatics: from Food Monitoring to Dietary Management

    Special Issue on Nutrition Informatics: from Food Monitoring to Dietary Management

    The recent advances in smartphone technologies, wearable sensors, computer vision and machine learning will bring the applications of nutrition informatics closer to the individuals and enable them to make better decisions regarding their daily nutrition. In this special issue, five papers were accepted for publication.

  • Special Issue: IEEE BHI 2016

    THE IEEE International Conference on Biomedical and Health Informatics (BHI) is a special topic conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS). BHI2016 was co-located with the Annual HIMSS Conference & Exhibition in Las Vegas, NV, USA, in February 24th-27th, 2016. The main theme of BHI2016 was “Integrative Informatics for Precision and Preventive Medicine.” Advancing health informatics has been identified as a grand challenge for engineering in the 21st century by the National Academy of Engineering. Maintaining and improving human health will require integrative and novel informatics solutions to better translate discovery into clinics, re-engineer care practices, and integrate big data of various health networks.

    BHI2016 provided a unique forum to showcase enabling technologies of computing, devices, imaging, sensors, and systems that optimize the acquisition, transmission, processing, storage, retrieval, visualization and analysis. In addition, it shared how integrative informatics solutions can be used in novel clinical applications to improve human health, and how the deployment of integrated bioinformatics, m-Health, e-Health, and tele-Health with enterprise IT can enable precision and preventive medicine.

  • Special Issue: Deep Learning for Biomedical and Health Informatics

    Special Issue: Deep Learning for Biomedical and Health Informatics

    This special issue aims to report the latest advances in the field of deep learning for biomedical and health informatics, and nine papers have been selected for this special issue which address both original algorithmic development and new applications of deep learning.

  • Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

    Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

    This paper provides a systematic review of current techniques for quantitative gait analysis and proposes key metrics for for qualifying gait features extracted from wearable sensors. It aims to highlight key advances in this rapidly evolving research field and outline potential future directions for both research and clinical applications

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