Intracranial Pressure Dynamics During Head Impact

Nahum, Alan M.; Smith, Randall W.; Ward, Carley C.

doi:10.4271/770922

Cited by 435 publications

(456 citation statements)

References 3 publications

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“…In total there are approximately 26 000 elements in the model. The baseline UCDBTM was validated against cadaveric pressure responses conducted by Nahum et al [25] and brain motion research conducted by Hardy et al [26]. Further validations were conducted by Doorly and Gilchrist [27] on reconstructions of real world traumatic brain injury incidents with agreeable results.…”

Section: F Inite Element Modelmentioning

confidence: 99%

An examination of American football helmets using brain deformation metrics associated with concussion

et al. 2013

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Section: F Inite Element Modelmentioning

confidence: 99%

An examination of American football helmets using brain deformation metrics associated with concussion

et al. 2013

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“…The pendulum developed for the application of impacts to IHeadS_1 (Figure 3a) enabled to impact the head surrogate with an impactor similar to the one used by Nahum [9], and with impact energy up to 100 J. The IHeadS_1 connected to the H-III neck was mounted on a Kistler force platform and impacts were performed from the Back, the Side and the Front.…”

Section: Pilot Tests Setupmentioning

confidence: 99%

A Novel Instrumented Human Head Surrogate for the Impact Evaluation of Helmets

Petrone

Carraro

Castello

et al. 2018

The 12th Conference of the International Sports Engineering Association

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Abstract:A novel Human Head Surrogate was obtained from available MRI scans of a 50th percentile male human head. Addictive manufacturing was used to produce the skull, the brain and the skin. All original MRI geometries were partially smoothed and adjusted to provide the best biofidelity compatible with printing and molding technology. The skull was 3D-printed in ABS and ten pressure sensors were placed into it. The brain surrogate was cast from silicon rubber in the 3D-printed plastic molds. Nine tri-axial accelerometers (placed at the tops of the lobes, at the sides of the lobes, in the cerebellum and in the center of mass) and a three-axis gyroscope (at the center of mass) were inserted into the silicon brain during casting. The cranium, after assembly with brain, was filled with silicon oil mimicking the cerebral fluid. Silicon rubber was cast in additional 3D-printed molds to form the skin surrounding the cranium. The skull base was adapted to be compatible with the Hybrid-III neck and allow the exit of brain sensors cabling. Preliminary experiments were carried out proving the functionality of the surrogate. Results showed how multiple accelerometers and pressure sensors allowed a better comprehension of the head complex motion during impacts.

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“…The geometry of this model was developed from medical imaging of a male cadaver head and comprised the following parts: scalp, skull, pia, falx, tentorium, cerebrospinal fluid (CSF), gray and white matter, cerebellum, and the brainstem [26,27]. The UCDBTM was validated against data from Nahum et al's [29] and Hardy et al's [30] cadaveric impact research. In addition, this model has been used for human brain injury reconstructive research and has produced data consistent with that from anatomical testing [4,28,31].…”

Section: University College Brain Trauma Modelmentioning

confidence: 99%

The effect of acceleration signal processing for head impact numeric simulations

et al. 2016

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Brain injury research in sport employs a variety of physical models equipped with accelerometers. These acceleration signals are commonly processed using filters. The purpose of this research was to determine the effect of applying filters with different cutoff frequencies to the acceleration signals used as input for finite element modelling of the brain. Signals were generated from reconstructions of concussion events from American football and ice hockey in the laboratory using a Hybrid III headform. The resulting acceleration signals were used as input for the University College Dublin Brain Trauma Model after being processed with filters. The results indicated that using a filter with a cutoff of 300 Hz or higher had little effect on the resulting strain measures. In some cases there was some effect of the filters on the peak linear (8-30g) and rotational measures (1000-4000 rad/s2), but little effect on the finite element strain result (approximately 2-6 %). The short duration and high magnitude accelerations, such as the puck impact, were most affected by the cutoff frequency of different filters.

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Intracranial Pressure Dynamics During Head Impact

Cited by 435 publications

References 3 publications

An examination of American football helmets using brain deformation metrics associated with concussion

An examination of American football helmets using brain deformation metrics associated with concussion

A Novel Instrumented Human Head Surrogate for the Impact Evaluation of Helmets

The effect of acceleration signal processing for head impact numeric simulations

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