Biomedical Engineering Smartphone Training (BEST) Program

生物医学工程智能手机培训(BEST)计划

基本信息

  • 批准号:
    482728-2016
  • 负责人:
  • 金额:
    $ 21.86万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Training Experience
  • 财政年份:
    2019
  • 资助国家:
    加拿大
  • 起止时间:
    2019-01-01 至 2020-12-31
  • 项目状态:
    已结题

项目摘要

The NSERC CREATE Biomedical Engineering Smartphone Training (BEST) program will provide professional training and practical employment-ready skills to students to meet the needs of the growing mHealth marketplace. mHealth is the practice of clinical medicine and public health supported by mobile devices, including the use of mobile devices in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers, and patients, real-time monitoring of patients, and direct provision of care via mobile telemedicine. Specific objectives of the program are to:1. Provide students with the skills needed to conceive, design and build mHealth smartphone apps. This includes skills to design effective user-interfaces, collect data from sensors, analyze these data to create useful metrics, and visualize complex data for non-expert users and health practitioners. 2. Train the students to design and implement an evaluation protocol for apps. Specifically, validation protocol design, research on humans, and ethics.3. Entrepreneurship/intrapreneurship training so that students can identify a commercialization pathway to bring a mHealth app to the appropriate market.4. Develop skills to permit communication with various multi-disciplinary audiences necessary to identify patient and clinician needs, obtain ethics approvals, end-user support, financial backing, etc.5. Provide students with an awareness of the regulatory environment for mHealth applications.
NSERC CREATE生物医学工程智能手机培训(BEST)计划将为学生提供专业培训和实用的就业技能,以满足不断增长的移动医疗市场的需求。 移动医疗是由移动的设备支持的临床医学和公共卫生实践,包括使用移动的设备收集社区和临床健康数据,向从业人员、研究人员和患者提供医疗保健信息,实时监测患者,以及通过移动的远程医疗直接提供护理。 该计划的具体目标是:1。为学生提供构思,设计和构建mHealth智能手机应用程序所需的技能。这包括设计有效的用户界面,从传感器收集数据,分析这些数据以创建有用的指标,以及为非专家用户和健康从业者可视化复杂数据的技能。2.培训学生设计和实施应用程序的评估协议。 具体而言,验证协议设计,对人类的研究,和伦理学。3.创业/内部创业培训,使学生能够确定商业化途径,将mHealth应用程序推向适当的市场。发展技能,以允许与各种多学科的受众进行必要的沟通,以确定患者和临床医生的需求,获得伦理批准,最终用户支持,财务支持等。为学生提供mHealth应用程序的监管环境的意识。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Baddour, Natalie其他文献

Wearable Mobility Monitoring Using a Multimedia Smartphone Platform
Operational and convolution properties of three-dimensional Fourier transforms in spherical polar coordinates
Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway
  • DOI:
    10.3390/computation9120130
  • 发表时间:
    2021-12-01
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    McGuirk, Connor J. C.;Baddour, Natalie;Lemaire, Edward D.
  • 通讯作者:
    Lemaire, Edward D.
Gait differences between K3 and K4 persons with transfemoral amputation across level and non-level walking conditions
  • DOI:
    10.1177/0309364618785724
  • 发表时间:
    2018-12-01
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Sturk, James A.;Lemaire, Edward D.;Baddour, Natalie
  • 通讯作者:
    Baddour, Natalie
Operational and convolution properties of two-dimensional Fourier transforms in polar coordinates

Baddour, Natalie的其他文献

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{{ truncateString('Baddour, Natalie', 18)}}的其他基金

Biomedical Engineering Smartphone Training (BEST) Program
生物医学工程智能手机培训(BEST)计划
  • 批准号:
    482728-2016
  • 财政年份:
    2021
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Collaborative Research and Training Experience
Analytical and Computational Tools for Long-Pulse Photoacoustics
长脉冲光声学的分析和计算工具
  • 批准号:
    RGPIN-2016-04190
  • 财政年份:
    2021
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Discovery Grants Program - Individual
Biomedical Engineering Smartphone Training (BEST) Program
生物医学工程智能手机培训(BEST)计划
  • 批准号:
    482728-2016
  • 财政年份:
    2020
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Collaborative Research and Training Experience
Analytical and Computational Tools for Long-Pulse Photoacoustics
长脉冲光声学的分析和计算工具
  • 批准号:
    RGPIN-2016-04190
  • 财政年份:
    2020
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Discovery Grants Program - Individual
Analytical and Computational Tools for Long-Pulse Photoacoustics
长脉冲光声学的分析和计算工具
  • 批准号:
    RGPIN-2016-04190
  • 财政年份:
    2019
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Discovery Grants Program - Individual
Analytical and Computational Tools for Long-Pulse Photoacoustics
长脉冲光声学的分析和计算工具
  • 批准号:
    RGPIN-2016-04190
  • 财政年份:
    2018
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Discovery Grants Program - Individual
Biomedical Engineering Smartphone Training (BEST) Program
生物医学工程智能手机培训(BEST)计划
  • 批准号:
    482728-2016
  • 财政年份:
    2018
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Collaborative Research and Training Experience
Analytical and Computational Tools for Long-Pulse Photoacoustics
长脉冲光声学的分析和计算工具
  • 批准号:
    RGPIN-2016-04190
  • 财政年份:
    2017
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Discovery Grants Program - Individual
Biomedical Engineering Smartphone Training (BEST) Program
生物医学工程智能手机培训(BEST)计划
  • 批准号:
    482728-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Collaborative Research and Training Experience
Characterization of a Novel Wearable Insole Sensor
新型可穿戴鞋垫传感器的表征
  • 批准号:
    521980-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 21.86万
  • 项目类别:
    Engage Grants Program

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