Evaluate the use of a portable multi-modal physiological monitoring system in the virtual reality environment for the assessment of mild traumatic brain injury

评估在虚拟现实环境中使用便携式多模态生理监测系统评估轻度创伤性脑损伤

• 批准号: 1935860
• 负责人: Tzyy-Ping Jung
• 金额: $ 10万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1935860&HistoricalAwards=false
• 关键词: Evaluate; use; portable; multi; modal

UCSD and FDA will jointly develop and test a wearable and easily deployable system, based on virtual-reality goggles, to collect synchronized brain and biometric signals from mild traumatic brain injury (TBI) patients and healthy participants. They will also develop advanced computational approaches to identify abnormal biomedical signals associated with TBI. The goal of this project is to test the feasibility of using a portable, compact, and deployable system as a pre- and post-hospital diagnostic and monitoring tool of TBI.UCSD and FDA jointly propose an intense, twelve-month program to design, develop, fabricate and test a wearable and easily deployable system, based on a Virtual-Reality (VR) Head-Mounted Display (HMD), to collect synchronized neural and physiological data from TBI patients and healthy participants. The use of VR HMD allows the use a compact form factor for collecting multi-modal bio-sensing data in a comfortably wearable manner, providing unprecedented opportunities to assess and evaluate the brain and mind under various cognitive tasks immediately after an injury (i.e. pre-hospital care)The objective of this project is to determine the utility of a portable and multi-modal physiological signal monitoring system as a diagnostic and monitoring tool of TBI.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

加州大学圣地亚哥分校和FDA将联合开发和测试一种基于虚拟现实护目镜的可穿戴且易于部署的系统，以收集轻度创伤性脑损伤（TBI）患者和健康参与者的同步大脑和生物识别信号。他们还将开发先进的计算方法来识别与TBI相关的异常生物医学信号。该项目的目标是测试使用便携式，紧凑型和可部署系统作为院前和院后TBI诊断和监测工具的可行性。UCSD和FDA联合提出了一个为期12个月的密集计划，以设计，开发，制造和测试一个可穿戴和易于部署的系统，基于虚拟现实（VR）头戴式显示器（HMD），收集TBI患者和健康参与者的同步神经和生理数据。VR HMD的使用允许使用紧凑的形状因子来以舒适的可穿戴方式收集多模态生物感测数据，提供了前所未有的机会，以评估和评估大脑和心灵在各种认知任务后立即受伤（即院前护理）本项目的目的是确定便携式多功能模态生理信号监测系统作为TBI的诊断和监测工具。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding

• DOI: 10.1109/jbhi.2020.3025865
• 发表时间: 2021-06-01
• 期刊: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
• 影响因子: 7.7
• 作者: Jeng, Po-Yuan;Wei, Chun-Shu;Wang, Li-Chun
• 通讯作者: Wang, Li-Chun

Boosting template-based SSVEP decoding by cross-domain transfer learning

• DOI: 10.1088/1741-2552/abcb6e
• 发表时间: 2020-11
• 期刊: Journal of Neural Engineering
• 影响因子: 4
• 作者: Kuan-Jung Chiang;Chun-Shu Wei;M. Nakanishi;T. Jung

A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials

• DOI: 10.1109/ner49283.2021.9441135
• 发表时间: 2021-05
• 期刊: 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)
• 作者: Chuyang Xiao;Kuan-Jung Chiang;M. Nakanishi;T. Jung

Hardware-Oriented Memory-Limited Online Artifact Subspace Reconstruction (HMO-ASR) Algorithm

• DOI: 10.1109/tcsii.2021.3124253
• 发表时间: 2021-12-01
• 期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
• 影响因子: 4.4
• 作者: Van, Lan-Da;Tu, You-Cheng;Jung, Tzyy-Ping
• 通讯作者: Jung, Tzyy-Ping

Physiological Correlates of Time Stress During Game Play

游戏过程中时间压力的生理相关性

• DOI: 10.1007/978-3-030-78635-9_17
• 发表时间: 2021
• 期刊: Communications in computer and information science
• 作者: Lee, D.