FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2076765850> ?p ?o ?g. }

• W2076765850 endingPage "2668" @default.
• W2076765850 startingPage "2659" @default.
• W2076765850 abstract "Injury from blunt head impacts causes acute neurological deficits and may lead to chronic neurodegeneration. A head impact detection device can serve both as a research tool for studying head injury mechanisms and a clinical tool for real-time trauma screening. The simplest approach is an acceleration thresholding algorithm, which may falsely detect high-acceleration spurious events such as manual manipulation of the device. We designed a head impact detection system that distinguishes head impacts from nonimpacts through two subsystems. First, we use infrared proximity sensing to determine if the mouthguard is worn on the teeth to filter out all off-teeth events. Second, on-teeth, nonimpact events are rejected using a support vector machine classifier trained on frequency domain features of linear acceleration and rotational velocity. The remaining events are classified as head impacts. In a controlled laboratory evaluation, the present system performed substantially better than a 10-g acceleration threshold in head impact detection (98% sensitivity, 99.99% specificity, 99% accuracy, and 99.98% precision, compared to 92% sensitivity, 58% specificity, 65% accuracy, and 37% precision). Once adapted for field deployment by training and validation with field data, this system has the potential to effectively detect head trauma in sports, military service, and other high-risk activities." @default.
• W2076765850 created "2016-06-24" @default.
• W2076765850 creator A5003154400 @default.
• W2076765850 creator A5051027391 @default.
• W2076765850 creator A5062363186 @default.
• W2076765850 creator A5070954885 @default.
• W2076765850 creator A5078745995 @default.
• W2076765850 date "2014-11-01" @default.
• W2076765850 modified "2023-10-16" @default.
• W2076765850 title "A Head Impact Detection System Using SVM Classification and Proximity Sensing in an Instrumented Mouthguard" @default.
• W2076765850 cites W1920490227 @default.
• W2076765850 cites W1968114652 @default.
• W2076765850 cites W1971354697 @default.
• W2076765850 cites W1981251392 @default.
• W2076765850 cites W1984532937 @default.
• W2076765850 cites W1990071583 @default.
• W2076765850 cites W1991288072 @default.
• W2076765850 cites W1993694198 @default.
• W2076765850 cites W1998942072 @default.
• W2076765850 cites W2006676204 @default.
• W2076765850 cites W2016644209 @default.
• W2076765850 cites W2020160717 @default.
• W2076765850 cites W2026070420 @default.
• W2076765850 cites W2034261149 @default.
• W2076765850 cites W2035438756 @default.
• W2076765850 cites W2037999907 @default.
• W2076765850 cites W2043357315 @default.
• W2076765850 cites W2044215166 @default.
• W2076765850 cites W2046540399 @default.
• W2076765850 cites W2048408755 @default.
• W2076765850 cites W2056921602 @default.
• W2076765850 cites W2067975546 @default.
• W2076765850 cites W2070632079 @default.
• W2076765850 cites W2072689418 @default.
• W2076765850 cites W2074358044 @default.
• W2076765850 cites W2077879868 @default.
• W2076765850 cites W2078450309 @default.
• W2076765850 cites W2090592546 @default.
• W2076765850 cites W2091920346 @default.
• W2076765850 cites W2097595225 @default.
• W2076765850 cites W2125746892 @default.
• W2076765850 cites W2126028421 @default.
• W2076765850 cites W2130254914 @default.
• W2076765850 cites W2157770256 @default.
• W2076765850 cites W2158698691 @default.
• W2076765850 cites W2159530872 @default.
• W2076765850 cites W2169732913 @default.
• W2076765850 cites W2169828275 @default.
• W2076765850 cites W4237003387 @default.
• W2076765850 cites W4239510810 @default.
• W2076765850 cites W4249279051 @default.
• W2076765850 doi "https://doi.org/10.1109/tbme.2014.2320153" @default.
• W2076765850 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24800918" @default.
• W2076765850 hasPublicationYear "2014" @default.
• W2076765850 type Work @default.
• W2076765850 sameAs 2076765850 @default.
• W2076765850 citedByCount "43" @default.
• W2076765850 countsByYear W20767658502014 @default.
• W2076765850 countsByYear W20767658502015 @default.
• W2076765850 countsByYear W20767658502016 @default.
• W2076765850 countsByYear W20767658502017 @default.
• W2076765850 countsByYear W20767658502018 @default.
• W2076765850 countsByYear W20767658502019 @default.
• W2076765850 countsByYear W20767658502020 @default.
• W2076765850 countsByYear W20767658502021 @default.
• W2076765850 countsByYear W20767658502022 @default.
• W2076765850 countsByYear W20767658502023 @default.
• W2076765850 crossrefType "journal-article" @default.
• W2076765850 hasAuthorship W2076765850A5003154400 @default.
• W2076765850 hasAuthorship W2076765850A5051027391 @default.
• W2076765850 hasAuthorship W2076765850A5062363186 @default.
• W2076765850 hasAuthorship W2076765850A5070954885 @default.
• W2076765850 hasAuthorship W2076765850A5078745995 @default.
• W2076765850 hasConcept C111919701 @default.
• W2076765850 hasConcept C117896860 @default.
• W2076765850 hasConcept C121332964 @default.
• W2076765850 hasConcept C12267149 @default.
• W2076765850 hasConcept C153180895 @default.
• W2076765850 hasConcept C154945302 @default.
• W2076765850 hasConcept C1862650 @default.
• W2076765850 hasConcept C2909831623 @default.
• W2076765850 hasConcept C31972630 @default.
• W2076765850 hasConcept C41008148 @default.
• W2076765850 hasConcept C44154836 @default.
• W2076765850 hasConcept C71924100 @default.
• W2076765850 hasConcept C74650414 @default.
• W2076765850 hasConcept C89805583 @default.
• W2076765850 hasConceptScore W2076765850C111919701 @default.
• W2076765850 hasConceptScore W2076765850C117896860 @default.
• W2076765850 hasConceptScore W2076765850C121332964 @default.
• W2076765850 hasConceptScore W2076765850C12267149 @default.
• W2076765850 hasConceptScore W2076765850C153180895 @default.
• W2076765850 hasConceptScore W2076765850C154945302 @default.
• W2076765850 hasConceptScore W2076765850C1862650 @default.
• W2076765850 hasConceptScore W2076765850C2909831623 @default.
• W2076765850 hasConceptScore W2076765850C31972630 @default.
• W2076765850 hasConceptScore W2076765850C41008148 @default.
• W2076765850 hasConceptScore W2076765850C44154836 @default.

• next