Portable mTBI Assessment Using Temporal and Frequency Analysis of Speech

Daudet, Louis; Yadav, Nikhil; Perez, Matthew; Poellabauer, Christian; Schneider, Sandra; Huebner, Alan

doi:10.1109/jbhi.2016.2633509

Cited by 20 publications

(16 citation statements)

References 26 publications

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“…Rate -Previous research found changes in basic parameters of the voices of individuals following a concussion, primarily in their fundamental frequencies and variability 31,32 . However, no study to date has described a formal subjective evaluation of rate in this population.…”

Section: Perceptual Ratingsmentioning

confidence: 99%

Sports Related Concussion Impacts Speech Rate and Muscle Function

Banks

Beal

Hunter

2020

Preprint

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Objective: To examine speech rate and muscle function in athletes with and without sports related concussion (SRC). Methods: We recruited 30 athletes aged 19-22 years-old who had sustained a SRC within the past 2 years and 30 pair-wise matched controls with no history of SRC from the student community at Michigan State University. Speech rate and muscle function were evaluated during diadochokinetic (DDK) tasks. Speech rate was measured via average time per syllable, average unvoiced time per syllable, and expert perceptual judgement. Speech muscle function was measured via surface electromyography over the obicularis oris, masseter, and segmental triangle. Group differences were assessed using MANOVA, bootstrapping and predictive ROC analyses. Results: Athletes with SRC had slower speech rates during DDK tasks than controls as evidenced by longer average time per syllable (F(1, 52) = 11.072, p =.002, [95% CI : .01 to .04]), longer average unvoiced time per syllable (F(1, 52) = 16.031, p < .000, [95% CI : .01 to .029] and expert judgement of slowed rate (F(1, 22) = 9.782, p = .005, [95% CI : .163 to .807]). Rate measures were predictive of concussion history. Further, athletes with SRC required more speech muscle activation than controls to complete the DDK tasks (F(1, 3) = 17.12, p =.000, [95% CI: .003 to .006]). Conclusion: We found clear evidence of slowed speech and increased muscle activation during the completion of DDK tasks in athletes with SRC histories relative to controls. Speech rate and muscle assessment should be incorporated into clinical evaluation of concussion.

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Section: Perceptual Ratingsmentioning

confidence: 99%

Sports Related Concussion Impacts Speech Rate and Muscle Function

Banks

Beal

Hunter

2020

Preprint

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“…A second study by McHenry found the most frequently occurring abnormality among those with severe TBI to be amplitude perturbation, followed by voice turbulence index, with nearly a quarter of the research volunteers showing abnormalities in all of the five voice measurements [80]. While interest remains in identifying and using speech acoustic features as biomarkers for portable diagnostic tools for TBI [81], the field remains in its' infancy. Research has focused on severe TBI.…”

Section: Voice Analysismentioning

confidence: 99%

The investigation of four technologies to assist in detecting mild to moderate traumatic brain injury of U.S. Military service members

Rice

Boykin

Alfred

et al. 2019

WOR

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BACKGROUND: A standard, reliable, objective measure is needed for identifying individuals with mild to moderate traumatic brain injury (TBI). OBJECTIVE: The purpose of this study was to examine balance using an AMTI OR6-7 force platform (FP), neurocognition and mood using the Automated Neuropsychological Assessment Metric4 (ANAM4), blood flow comparisons using a Brain Acoustic Monitor (BAM), and voice using Voice Analysis software (VA) for screening service members for a mild to moderate TBI. METHODS: Active duty and retired service member volunteers (n = 88, 35 with a diagnosis of mild to moderate TBI and 53 who never had a TBI) completed an informed consent document, and evaluations using the four technologies. RESULTS: Development of a clinical prediction rule yielded two FP variables and one ANAM4 Mood Scale variable (vigor) as helpful in predicting the presence of a TBI. Assuming a 15% pre-test probability, these predictors yield a post-test probability of 75.7% for a positive result with any two or more measures being positive, and a post-test probability of 2.3% for a negative result with zero measures being positive. CONCLUSIONS: This study demonstrated the usefulness of a force platform and a self-reported mood scale for predicting presence of mild to moderate TBI.

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“…Contect is an early warning medical application that seeks to detect possible neurological complications (e.g., concussions, traumatic brain injuries) by analyzing a patient's speech [26,27]. Specifically, it asks the patient to take a sustained vowel test (to say "AHHH" for as long as possible), records the audio, and then feeds the speech sample to a deep learning neural network that processes the sample and delivers a concussion probability.…”

Section: Contectmentioning

confidence: 99%

MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution

Benedetto

Valenzuela

Sanabria

et al. 2018

Wireless Communications and Mobile Computing

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Code offloading is a popular technique for extending the natural capabilities of mobile devices by migrating processor-intensive tasks to resource-rich surrogates. Despite multiple platforms for offloading being available in academia, these frameworks have yet to permeate the industry. One of the primary reasons for this is limited experimentation in practical settings and lack of reliability, scalability, and options for distribution. This paper introduces MobiCOP, a new code offloading framework designed from the ground up with these requirements in mind. It features a novel design fully self-contained in a library and offers compatibility with most stock Android devices available today. Compared to local task executions, MobiCOP offers performance improvements of up to 17x and increased battery efficiency of up to 25x, shows minimum performance degradation in environments with unstable networks, and features an autoscaling module that allows its server counterpart to scale to an arbitrary number of offloading requests. It is compatible with the most relevant Android technologies optimized for heavy computation (NDK and Renderscript) and has so far been well received by fellow mobile developers. We hope MobiCOP will help bring mobile code offloading closer to the industry realm.

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Portable mTBI Assessment Using Temporal and Frequency Analysis of Speech

Cited by 20 publications

References 26 publications

Sports Related Concussion Impacts Speech Rate and Muscle Function

Sports Related Concussion Impacts Speech Rate and Muscle Function

The investigation of four technologies to assist in detecting mild to moderate traumatic brain injury of U.S. Military service members

MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution

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