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

基本信息

  • 批准号:
    9046217
  • 负责人:
  • 金额:
    $ 57.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-30 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): The goal of this Phase II is to enhance the availability of advanced brain and behavior research tools [PA-14-250] by developing an automated sensor-based means of tracking the presence and severity of a broad spectrum of movement disorders during unscripted activities of daily living. The continuously updated and interpreted information from body-worn sensors will provide accurate, objective, and high resolution (1 s.) measurement of motor symptom severity of tremor, dyskinesia, bradykinesia, freezing and gait disorders in Parkinson's disease and postural/kinetic tremor in essential tremor. It will allow researchers to assess the oftentimes complex and dynamic nature of movement disorders, which is poorly captured by the current standard of self-reports and pencil-and-paper instruments. Advances in wearable sensor technology have facilitated such a solution, but there are currently no movement disorder recognition devices capable of interpreting sensor data from non- scripted activity in an effective manner for the more than 45 million people in the U.S. with movement disorders. Our approach is unique in that we are developing a generic Application Generator (AG) software platform containing signal processing modules that can be readily configured to provide automated recognition for different disorders without the need to prepare separate algorithms from scratch for each. Phase I established a proof of concept by developing a rudimentary AG platform that achieved automatic recognition of tremor, dyskinesia and freezing-of-gait in patients with Parkinson's disease (PD) from novel hybrid sensors that provided both muscle activity and movement data through surface electromyographic (sEMG) and accelerometer recordings. Phase II will continue the development to include a broader range of PD movement disorders, as well as other neurological conditions. Aim 1 will create an enhanced AG Platform by incorporating combined sEMG and inertial measurement unit (IMU) sensors to more completely describe involuntary movements and reduce the risk when tracking additional disorders. Human subject testing will provide a sensor database for testing IMU sensor accuracy and minimizing soft tissue artifacts. The Phase I recognition algorithms will be updated using the enhanced platform. Aim 2 will use the enhanced platform to develop new recognition applications that track bradykinesia and gait disorders in PD, and postural and kinetic tremors in patients with essential tremor. Our goal is to achieve error rates < 5% during unconstrained monitoring conditions with user- independent algorithms. Aim 3 will deliver a portable pre-commercial device with the requisite hardware, software, user interface, and report generator to effectively monitor PD, essential tremor, and sitting/standing/walking activity. The system will collect and process sEMG/IMU data using a tablet PC to enhance usability. Movement disorder experts and prospective end-users will guide the Phase II development and assist us with future commercialization plans for other neurological conditions such as cerebral palsy, dystonia, ALS, and restless leg syndrome. It will also form the basis for a patient-operable device for clinical use.


项目成果

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会议论文数量(0)
专利数量(0)

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Gianluca De Luca其他文献

Gianluca De Luca的其他文献

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{{ 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:
    $ 57.49万
  • 项目类别:
Adaptive & Individualized AAC
自适应
  • 批准号:
    10600065
  • 财政年份:
    2019
  • 资助金额:
    $ 57.49万
  • 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:
    $ 57.49万
  • 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:
    $ 57.49万
  • 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:
    $ 57.49万
  • 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:
    $ 57.49万
  • 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:
    $ 57.49万
  • 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:
    $ 57.49万
  • 项目类别:
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
  • 批准号:
    8392830
  • 财政年份:
    2012
  • 资助金额:
    $ 57.49万
  • 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:
    $ 57.49万
  • 项目类别:

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