Biomedical and Health Sciences

Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

  • Communications
  • Health
  • Sensors
  • Transportation
  • Biomedical and Health Sciences
  • Wearable Sensing
  • Signal Processing
  • Continuous-time signal processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Walid Gomaa, Reda Elbasiony

    A database of lips traces
    Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.

  • Biomedical and Health Sciences
  • Medical Imaging
  • Security
  • Other
  • Last Updated On: 
    Sat, 06/16/2018 - 23:18
    Citation Author(s): 
    Dariusz Mrozek, Ewa Ostałowska, Bożena Małysiak-Mrozek

    Electronic Health Records and clinical longitudinal data have been visualized in a wide range of applications to assist the understanding of the status and evolution of patients. Few studies have objectively assessed these applications. We utilized the insights-based method to objectively assess the effectiveness of an application that visualizes longitudinal data from the Australian national electronic health record. Five professional psychiatrists took part in the assessment study.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Andres Ledesma

    Data Science is all about the processes and methods to access and analyze data to gain insights for informed decision making. To promote the awareness and analytic technology of Big Data, IEEE EMBS and the IEEE Big Data Initiative are organizing a Data Analytics Competition. The competition will be held during the International Conference on Biomedical and Health Informatics (IEEE BHI2017), 16-19 February 2017 in Orlando, Florida, and is open to all participants of the conference.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 08/08/2017 - 10:52
    Citation Author(s): 
    United States Patent and Trademark Office

    The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

  • Biomedical and Health Sciences
  • Sensors
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

  • Biomedical and Health Sciences
  • Sensors
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.

  • Biomedical and Health Sciences
  • Sensors
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the simulation of ADLs and falls.

  • Biomedical and Health Sciences
  • Sensors
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    The dataset contains depth frames collected using Microsoft Kinect v1 in top-view configuration and can be used for fall detection.

  • Biomedical and Health Sciences
  • Sensors
  • Signal Processing
  • Digital signal processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante

    As part of the Obama Administration’s efforts to make our healthcare system more transparent, affordable, and accountable, the Centers for Medicare & Medicaid Services (CMS) has prepared a public data set, the Medicare Provider Utilization and Payment Data: Physician and Other Supplier Public Use File (Physician and Other Supplier PUF), with information on services and procedures provided to Medicare beneficiaries by physicians and other healthcare professionals.  The Physician and Other Supplier PUF contains information on utilization, payment (allowed amount and Medicare payment), and

  • Biomedical and Health Sciences
  • Social Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Centers for Medicare & Medicaid Services

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