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Ashlyn A. Callan

6 papers hereh-index 496 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • cs.CE1
  • cs.LG1
  • eess.SP1
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedPhysics-informed machine learning improves detection of head impacts

18 citations · 43 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CE2021★ 18 cited

Physics-informed machine learning improves detection of head impacts

Samuel J. Raymond, Nicholas J. Cecchi, Hossein Vahid Alizadeh +6

In this work we present a new physics-informed machine learning model that can be used to analyze kinematic data from an instrumented mouthguard and detect impacts to the head. Mon…

physics.data-an2021

A comparison of sports-related head accelerations with and without direct head impacts

Samuel J. Raymond, Yuzhe Liu, Nicholas J. Cecchi +9

Concussion and repeated exposure to mild traumatic brain injury are risks for athletes in many sports. While direct head impacts are analyzed to improve the detection and awareness…

physics.med-ph2021★ 8 cited

Time Window of Head Impact Kinematics Measurement for Calculation of Brain Strain and Strain Rate in American Football

Yuzhe Liu, August G. Domel, Nicholas J. Cecchi +8

Wearable devices have been shown to effectively measure the head movement during impacts in sports like American football. When a head impact occurs, the device is triggered to col…

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