Vital signs monitoring wearable technologies

生命体征监测可穿戴技术

基本信息

  • 批准号:
    514615-2017
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Engage Grants Program
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

DyMo Technology Corp (DyMoTech) is a Vancouver engineering firm specializing in developing HealthMonitoring and real-time diagnostics systems for heavy-duty machinery. The company's main clients are in themining industry. DyMoTech's team of specialists has acquired in-depth knowledge of this industry'srequirement and points of pain. The company is currently engaged in an R&D project to create a Wearable,intelligent fatigue and vital health sign monitoring System. Based on the company's years of experiences thereis a need in the mining industry for online personnel fatigue, vital signs, and health monitoring systems. Thelack of fatigue and vital health signs monitoring system in mining industry can cause irrecoverable losses. Anintegrated intelligent fatigue and vital health signs forecasting system can be utilized in the mining industry tosave the operators life and expensive mining instruments.In this respect, the goal of this study is to spec a proper Wearable, intelligent fatigue and vital health signsforecasting system. The project will utilize the NSERC funds to support a Ph.D. HQP to conduct the work.
Dymo Technology Corp(DyMoTech)是一家温哥华工程公司,专门开发重型机械的健康监测和实时诊断系统。该公司的主要客户是采矿行业。DyMoTech的专家团队对该行业的需求和痛点有深入的了解。该公司目前正在进行一项研发项目,旨在创建一种可穿戴的、智能的疲劳和生命健康体征监测系统。根据该公司多年的经验,采矿业需要在线人员疲劳、生命体征和健康监测系统。矿业疲劳和生命健康体征监测系统的缺失会造成不可挽回的损失。一个集成化的智能疲劳和生命健康体征预测系统可以应用于采矿行业,以挽救工人的生命和昂贵的采矿仪器。在这方面,本研究的目的是设计一种合适的可穿戴的、智能的疲劳和生命健康体征预测系统。该项目将利用NSERC的资金支持一名博士HQP进行这项工作。

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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Golnaraghi, Farid其他文献

A Triaxial Accelerometer Calibration Method Using a Mathematical Model
Development of a systematic and practical methodology for the design of vehicles semi-active suspension control system
  • DOI:
    10.1080/00423110902971809
  • 发表时间:
    2010-01-01
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Bolandhemmat, Hamidreza;Clark, Christopher M.;Golnaraghi, Farid
  • 通讯作者:
    Golnaraghi, Farid
Hydrogen emission characterization for proton exchange membrane fuel cell during oxygen starvation - Part 1: Low oxygen concentration
  • DOI:
    10.1016/j.ijhydene.2016.01.057
  • 发表时间:
    2016-03-02
  • 期刊:
  • 影响因子:
    7.2
  • 作者:
    Narimani, Mohammad;DeVaal, Jake;Golnaraghi, Farid
  • 通讯作者:
    Golnaraghi, Farid
Cancer Detection Based on Electrical Impedance Spectroscopy: A Clinical Study.
  • DOI:
    10.2478/joeb-2018-0004
  • 发表时间:
    2018-01-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Moqadam, Sepideh Mohammadi;Grewal, Parvind Kaur;Golnaraghi, Farid
  • 通讯作者:
    Golnaraghi, Farid
A Kalman/Particle Filter-Based Position and Orientation Estimation Method Using a Position Sensor/Inertial Measurement Unit Hybrid System
  • DOI:
    10.1109/tie.2009.2032431
  • 发表时间:
    2010-05-01
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Won, Seong-hoon Peter;Melek, Wael William;Golnaraghi, Farid
  • 通讯作者:
    Golnaraghi, Farid

Golnaraghi, Farid的其他文献

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{{ truncateString('Golnaraghi, Farid', 18)}}的其他基金

Diffuse Optical Probe for Breast Cancer Screening and Monitoring
用于乳腺癌筛查和监测的漫射光学探头
  • 批准号:
    RGPIN-2022-04460
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
The Dynamics of Concussion: Helmet Performance Assessment, Real-time Monitoring and Intelligent Diagnostics
脑震荡动力学:头盔性能评估、实时监测和智能诊断
  • 批准号:
    RGPIN-2019-06916
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
The Dynamics of Concussion: Helmet Performance Assessment, Real-time Monitoring and Intelligent Diagnostics
脑震荡动力学:头盔性能评估、实时监测和智能诊断
  • 批准号:
    RGPIN-2019-06916
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
The Dynamics of Concussion: Helmet Performance Assessment, Real-time Monitoring and Intelligent Diagnostics
脑震荡动力学:头盔性能评估、实时监测和智能诊断
  • 批准号:
    RGPIN-2019-06916
  • 财政年份:
    2019
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Regenerative Suspension System for Electric Vehicles
电动汽车再生悬架系统
  • 批准号:
    RGPIN-2014-05526
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Development of an autonomous trailer
自动拖车的开发
  • 批准号:
    523065-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Grants Program
A new class of MEMS gyroscopes based on nonlinear coupling and internal resonance
基于非线性耦合和内谐振的新型MEMS陀螺仪
  • 批准号:
    493983-2016
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Strategic Projects - Group
Vital signs monitoring wearable technologies
生命体征监测可穿戴技术
  • 批准号:
    530659-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Engage Plus Grants Program
Regenerative Suspension System for Electric Vehicles
电动汽车再生悬架系统
  • 批准号:
    RGPIN-2014-05526
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
A new class of MEMS gyroscopes based on nonlinear coupling and internal resonance
基于非线性耦合和内谐振的新型MEMS陀螺仪
  • 批准号:
    493983-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Strategic Projects - Group

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Extraction of Vital Signs using a Telehealth Application for Asthma - EViTA-AThe purpose of this grant is to evaluate mobile devices to extract vitals signs to monitor patients with Asthma
使用哮喘远程医疗应用程序提取生命体征 - EViTA-A 这项拨款的目的是评估移动设备提取生命体征以监测哮喘患者
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SurePulse: Next Generation Multiparameter Vital Signs Monitoring for Newborns
SurePulse:新生儿多参数生命体征监测
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Advanced methods for depth-based human pose estimation and motion analysis: application to vital signs monitoring in the intensive care unit
基于深度的人体姿势估计和运动分析的先进方法:应用于重症监护病房的生命体征监测
  • 批准号:
    RGPIN-2020-06695
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Advanced methods for depth-based human pose estimation and motion analysis: application to vital signs monitoring in the intensive care unit
基于深度的人体姿势估计和运动分析的先进方法:应用于重症监护病房的生命体征监测
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基于物联网的非接触式生命体征监测系统
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Design and implementation of an ultra-small vital-signs-monitoring multi-sensing microsystem for COVID-19 management
用于 COVID-19 管理的超小型生命体征监测多传感微系统的设计和实现
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基于深度的人体姿势估计和运动分析的先进方法:应用于重症监护病房的生命体征监测
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Development of vital-signs monitoring sysytems for elderly cancer patients receiving chemotherapy
为接受化疗的老年癌症患者开发生命体征监测系统
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    20K12049
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Portable remote vital signs monitoring and AI-based risk analysis platform for use in care facilities for vulnerable patient assessment in response to the covid-19 pandemic.
便携式远程生命体征监测和基于人工智能的风险分析平台,用于护理机构中评估弱势患者,以应对 covid-19 大流行。
  • 批准号:
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  • 批准号:
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  • 财政年份:
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  • 资助金额:
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  • 项目类别:
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