EAGER: Feasibility of Using Speech as Biomarker for Concussions
EAGER: Feasibility of Using Speech as Biomarker for Concussions
批准号:
1450349
负责人:
Christian Poellabauer
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2017-08-31
中文摘要
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英文摘要
This project studies the feasibility of using speech as a novel biomarker for concussions, based on insights obtained from prior research that have shown links between impaired brain functioning and speech. Mild traumatic brain injuries (mTBI) such as concussions are arguably one of the most pressing concerns in sports today, with an estimated 2-4 million cases every year in youth sports alone. The potential short- and long-term impacts on the health and well-being of individuals with brain injuries are extensive. Untreated concussions can lead to diseases such as chronic traumatic encephalopathy, an elevated incidence of Alzheimer's disease, and dementia developing at a higher rate and a younger age. It is therefore imperative to accurately detect and appropriately treat mTBI, especially among adolescents, whose brains are still developing and more prone to long-term damage. This research advances the understanding of the relationship between brain injuries and acoustic features in speech and lays the foundation for novel and accurate concussion screening tools. Initial results based on voice collections from more than 300 boxers (25 of which were concussed) have been promising and indicate that speech may have the potential to serve as a new, easy-to-capture biomarker for mTBI. Using mobile technologies such as smartphones and tablets, brief speech recordings from youth athletes are being captured. With the help of speech recognition techniques, each word is isolated and acoustic features are extracted for each phoneme in each word. Features that are being analyzed include temporal characteristics of speech (e.g., speech duration per word or phoneme or articulation rate) and frequency spectrum characteristics (e.g., pitch, formant frequencies, and mel-frequency cepstrum coefficients). Using state-of-the-art statistical analysis and machine learning techniques, these features are then analyzed for their potential as marker for mild forms of brain injuries.
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会议论文
CHS: Small: Emotion-Aware Internet-of-Things Based on Analysis of Speech and Physiological Data
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批准号:2147074
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项目类别:Standard Grant
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资助金额:$49.78万
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财政年份:2021
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负责人:Christian Poellabauer
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依托单位:
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批准号:1908991
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项目类别:Standard Grant
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资助金额:$49.78万
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财政年份:2019
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负责人:Christian Poellabauer
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依托单位:
SCC-Planning: Coordinated Autonomous Operation of UAVs in Urban First Responder Scenarios
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批准号:1737496
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2017
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负责人:Christian Poellabauer
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依托单位:
CI-New: An Open Speech Data Repository for Medical Prediction and Assessment of Neurological Disorders
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批准号:1405694
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项目类别:Standard Grant
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资助金额:$63.66万
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财政年份:2014
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负责人:Christian Poellabauer
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依托单位:
REU Site: Experimental Research on Wireless Networking
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批准号:1062743
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项目类别:Standard Grant
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资助金额:$35.46万
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财政年份:2011
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负责人:Christian Poellabauer
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依托单位:
A Composable Hardware/Software Architecture for Instruction on Wireless Systems and Networks
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批准号:0942214
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项目类别:Standard Grant
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资助金额:$18.0万
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财政年份:2010
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负责人:Christian Poellabauer
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依托单位:
REU Site: Experimental Research on Wireless Networking
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批准号:0754933
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2008
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负责人:Christian Poellabauer
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依托单位:
CSR-EHCS(EHS), SM: Collaborative Research: Integrated Energy-Aware Resource Scheduling for Wireless Real-Time Systems
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批准号:0834180
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项目类别:Standard Grant
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资助金额:$22.12万
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财政年份:2008
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负责人:Christian Poellabauer
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依托单位:
CAREER: Judicious Resource Management in Wireless Systems
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批准号:0545899
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2006
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负责人:Christian Poellabauer
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依托单位:
海外基金