A Wireless-Sensor System for Reliable Recordings during Vigorous Muscle Activitie

无线传感器系统可在剧烈肌肉活动期间进行可靠记录

基本信息

  • 批准号:
    8392830
  • 负责人:
  • 金额:
    $ 14.6万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-01 至 2014-02-28
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This Phase I SBIR submission will provide proof-of-principle for the overall goal of developing a reliable body-worn data-acquisition system for applications that assess muscle performance and kinematics during vigorous and otherwise demanding physical activities. The system will consist of wireless sensors which combine surface electromyographic (sEMG) and accelerometer (ACC) signal detection, and a hip module for acquiring these data. Despite recent advancements in wireless sensor technology, these retain limited functionality during demanding applications, such as recording during uncontrolled movement disorders, sports activities, or activities in the work place. A design breakthrough is needed to produce a technology that does more than just provide portability, but also meets the requirements for vigorous applications. Phase I addresses this need by substantially reducing the height of the sensor and enabling it to conform to the body surface, by incorporating sensor-skin interface components with a contact geometry that provides electromechanical stability, and by introducing an overlay attachment band that secures and shields the sensor from mechanical and electrostatic disturbances when used under clothing. Each of these features represents innovations not found in comparable commercially available systems. Together they will provide a system that achieves performance metrics unattainable using current technology. The innovation will expand the ability of researchers and clinicians to investigate human movement and muscle function under these more vigorous and potentially unstable applications. The research strategy will develop sensor prototypes which meet performance criteria required for vigorous activities and evaluate them under three test scenarios which replicate clinical, sports and ergonomic use cases. These criteria are based on our experience in developing commercial sensor systems. They include electrical tests for assessing signal fidelity and mechanical tests to assess stability of the sensor on the skin. Phase I will deliver design specifications for a sEMG/ACC wireless sensor that meet or exceed performance criteria for a reliable and useful product. This phase will establish the technical merit and feasibility of the sensor technology and provide design specifications to assure a high likelihood of success for Phase II. Phase II will utilize the sensor technology to develop a pre-commercial body-worn portable data acquisition system that will be tested during vigorous use-case scenarios. PUBLIC HEALTH RELEVANCE: The development of a new non-invasive sensor system for surface electromyography and accelerometer measurement during vigorous muscle activities will enable researchers and clinicians to investigate human muscle function and movement under a substantially greater range of conditions. The proposed technology opens the doors to clinical, sports, and ergonomic applications where rapid movement of limbs and exposure to electro-mechanical disturbances preclude the use of electromyographic or accelerometer measurements; two of the most commonly relied-upon tools in these disciplines. This project will improve the ability of a) clinicians to study movement disorders, b) sports scientists to do field studies of athletes, and c) ergonomists to study work place injuries.
描述(由申请人提供):第一阶段 SBIR 提交文件将为开发可靠的穿戴式数据采集系统的总体目标提供原理验证,该系统适用于评估剧烈和其他要求较高的体育活动期间肌肉性能和运动学的应用。该系统将由结合表面肌电图(sEMG)和加速度计(ACC)信号检测的无线传感器以及用于获取这些数据的髋部模块组成。尽管无线传感器技术最近取得了进步,但这些技术在要求苛刻的应用中保留了有限的功能,例如在不受控制的运动障碍、体育活动或工作场所活动期间进行记录。需要在设计上取得突破,以产生一种不仅能提供便携性,还能满足活跃应用要求的技术。第一阶段通过大幅降低传感器的高度并使其能够贴合身体表面、将传感器-皮肤界面组件与提供机电稳定性的接触几何结构相结合,以及引入覆盖连接带来满足这一需求,该覆盖连接带可在传感器在衣服下使用时保护传感器免受机械和静电干扰。这些功能中的每一个都代表了同类商用系统中所没有的创新。他们将共同提供一个系统,实现使用当前技术无法实现的性能指标。这项创新将扩大研究人员和临床医生在这些更有活力和潜在不稳定的应用下研究人体运动和肌肉功能的能力。该研究策略将开发满足剧烈活动所需性能标准的传感器原型,并在复制临床、运动和人体工程学用例的三种测试场景下对其进行评估。这些标准基于我们开发商业传感器系统的经验。它们包括用于评估信号保真度的电气测试和用于评估传感器在皮肤上的稳定性的机械测试。第一阶段将提供 sEMG/ACC 无线传感器的设计规范,该规范满足或超过可靠且有用的产品的性能标准。此阶段将确定技术优点和可行性 传感器技术并提供设计规范,以确保第二阶段成功的可能性很高。第二阶段将利用传感器技术开发预商用的随身便携式数据采集系统,该系统将在活跃的用例场景中进行测试。 公共健康相关性:开发一种新型非侵入性传感器系统,用于剧烈肌肉活动期间的表面肌电图和加速度计测量,将使研究人员和临床医生能够在更大范围的条件下研究人体肌肉功能和运动。所提出的技术为临床、运动和人体工程学应用打开了大门,在这些应用中,肢体的快速运动和暴露于机电干扰妨碍了肌电图或加速度计测量的使用;这些学科中最常依赖的两个工具。该项目将提高 a) 临床医生研究运动障碍的能力,b) 运动科学家对运动员进行现场研究的能力,以及 c) 人体工学学家研究工作场所伤害的能力。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gianluca De Luca其他文献

Gianluca De Luca的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gianluca De Luca', 18)}}的其他基金

SpeechSense: An Interactive Sensor Platform for Speech Therapy
SpeechSense:用于言语治疗的交互式传感器平台
  • 批准号:
    10256832
  • 财政年份:
    2022
  • 资助金额:
    $ 14.6万
  • 项目类别:
Adaptive & Individualized AAC
自适应
  • 批准号:
    10600065
  • 财政年份:
    2019
  • 资助金额:
    $ 14.6万
  • 项目类别:
EMG Voice Restoration
肌电图语音恢复
  • 批准号:
    10009728
  • 财政年份:
    2018
  • 资助金额:
    $ 14.6万
  • 项目类别:
EMG Voice Restoration
肌电图语音恢复
  • 批准号:
    10376786
  • 财政年份:
    2018
  • 资助金额:
    $ 14.6万
  • 项目类别:
A Software Platform for Sensor-based Movement Disorder Recognition
基于传感器的运动障碍识别软件平台
  • 批准号:
    9321913
  • 财政年份:
    2015
  • 资助金额:
    $ 14.6万
  • 项目类别:
A Software Platform for Sensor-based Movement Disorder Recognition
基于传感器的运动障碍识别软件平台
  • 批准号:
    9046217
  • 财政年份:
    2015
  • 资助金额:
    $ 14.6万
  • 项目类别:
Subvocal Speech for Augmentative and Alternative Communication
用于增强性和替代性交流的默声语音
  • 批准号:
    9130174
  • 财政年份:
    2015
  • 资助金额:
    $ 14.6万
  • 项目类别:
A Software Platform for Sensor-based Movement Disorder Recognition
基于传感器的运动障碍识别软件平台
  • 批准号:
    8734495
  • 财政年份:
    2013
  • 资助金额:
    $ 14.6万
  • 项目类别:
A Software Platform for Sensor-based Movement Disorder Recognition
基于传感器的运动障碍识别软件平台
  • 批准号:
    8521782
  • 财政年份:
    2013
  • 资助金额:
    $ 14.6万
  • 项目类别:
A Wireless Sensor System for Reliable Recordings During Exercise
用于运动期间可靠记录的无线传感器系统
  • 批准号:
    8978255
  • 财政年份:
    2012
  • 资助金额:
    $ 14.6万
  • 项目类别:

相似海外基金

Comprehensive analysis of optical properties and evolutionary and diversification processes in the body surface of gelatinous zooplankton
胶状浮游动物体表光学特性及进化多样化过程综合分析
  • 批准号:
    23H02298
  • 财政年份:
    2023
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population
推进3D光学体表扫描技术评估高度肥胖人群的生理和心理影响
  • 批准号:
    10455037
  • 财政年份:
    2021
  • 资助金额:
    $ 14.6万
  • 项目类别:
Establishment of a body surface position prediction system for breast radiotherapy during deep inspiration breath-hold
深吸气屏气乳腺放疗体表位置预测系统的建立
  • 批准号:
    21K15781
  • 财政年份:
    2021
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population
推进3D光学体表扫描技术评估高度肥胖人群的生理和心理影响
  • 批准号:
    10680550
  • 财政年份:
    2021
  • 资助金额:
    $ 14.6万
  • 项目类别:
Advancing 3D optical body surface scan technology to assess physiological and psychological effects in highly obese population
推进3D光学体表扫描技术评估高度肥胖人群的生理和心理影响
  • 批准号:
    10280172
  • 财政年份:
    2021
  • 资助金额:
    $ 14.6万
  • 项目类别:
Investigation of the effect of subcutaneous microstructure and gel-like mat to prevent vascular closure against body surface pressure accompanied with shear
皮下微结构和凝胶状垫防止血管闭合对伴随剪切的体表压力的影响的研究
  • 批准号:
    20K04179
  • 财政年份:
    2020
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Non-invasive prediction of blood lipid concentrations by mid-infrared attenuated total reflection measurement on the body surface
体表中红外衰减全反射测量无创预测血脂浓度
  • 批准号:
    20K12615
  • 财政年份:
    2020
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development and evaluation of fast three-dimensional laser scanning and thermo-tracking device for patient body surface monitoring.
用于患者体表监测的快速三维激光扫描和热跟踪装置的开发和评估。
  • 批准号:
    19K08107
  • 财政年份:
    2019
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Visual servo control by multi-eye high-speed vision network placed on robot body surface
通过放置在机器人本体表面的多眼高速视觉网络进行视觉伺服控制
  • 批准号:
    19H02102
  • 财政年份:
    2019
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Impact of a reduced effective body surface area on the thermoregulatory and cardiovascular responses to exercise
有效体表面积减少对运动的体温调节和心血管反应的影响
  • 批准号:
    501873-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 14.6万
  • 项目类别:
    Postdoctoral Fellowships
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了