Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.

<h4>Purpose</h4>Video corroboration of player incurred impacts (PII) using trunk-worn wearable sensors (WS) among national ice-hockey team members.<h4>Methods</h4>23 members of the U.S. National (NTDP) U18 team consented to procedures approved by EMU Human Subjects Committee....

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Main Authors: Aaron Pilotti-Riley, Davor Stojanov, Muhammad Sohaib Arif, Stephen J McGregor
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0218235
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spelling doaj-f699091801d24dfdba305f984cbcbaaf2021-03-04T10:28:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021823510.1371/journal.pone.0218235Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.Aaron Pilotti-RileyDavor StojanovMuhammad Sohaib ArifStephen J McGregor<h4>Purpose</h4>Video corroboration of player incurred impacts (PII) using trunk-worn wearable sensors (WS) among national ice-hockey team members.<h4>Methods</h4>23 members of the U.S. National (NTDP) U18 team consented to procedures approved by EMU Human Subjects Committee. Bioharness-3 (Zephyr, MD) WS recorded occurrences of PII during games and impacts were generated using Impact Processor (Zephyr, MD). Eight players with the top activity levels each game determined by WS, were observed using video and synchronized with game video collected by NTDP staff. Impacts identified by WS of 6-7.9 g (Z3), 8-9.9 g (Z4) and 10+ g (Z5) were used to corroborate PII. Magnitude and duration of each identified impact were compared by category using MANOVA with Tukey post hoc (α = 0.05; SPSS 22.0, IBM, NY).<h4>Results</h4>Of 419 on-ice impacts, 358 were confirmed true PII (85.5%), 60 as other non-PII (14.3%) and 1 false positive (0.2%). For 358 PII, 17 (4.1%) were 1) Board contact/no check, 74 (17.7%), 2) Board contact/check, 202 (48.2%), 3) Open ice check, 65 (15.5%), 4) Player fall. Of 60 Non-PII, 19 (4.5%) as 5) other form of player to player event, 16 (3.8%) as 6) Hard Stop, 19 (4.5%) as 7) Slapshots and 6 (1.4%) as 8) other identifiable player events. 160 of the 200 Z3 events were PII (80%), 103 of 110 Z4 events (93.6%) and 95 of 109 Z5 events were PII (87.2%). The magnitude of impacts was not different by category, but the duration of category 6 (Hard stop; .058 s) was lower than categories 2, 4 and 7 (.112, .112, .133 s, respectively, p < .05).<h4>Conclusion</h4>These data show that using some limited criteria (e.g. impact magnitude and duration), PII can be identified with relatively high accuracy in ice hockey using trunk-worn wearable sensors.https://doi.org/10.1371/journal.pone.0218235
collection DOAJ
language English
format Article
sources DOAJ
author Aaron Pilotti-Riley
Davor Stojanov
Muhammad Sohaib Arif
Stephen J McGregor
spellingShingle Aaron Pilotti-Riley
Davor Stojanov
Muhammad Sohaib Arif
Stephen J McGregor
Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
PLoS ONE
author_facet Aaron Pilotti-Riley
Davor Stojanov
Muhammad Sohaib Arif
Stephen J McGregor
author_sort Aaron Pilotti-Riley
title Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
title_short Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
title_full Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
title_fullStr Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
title_full_unstemmed Video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
title_sort video corroboration of player incurred impacts using trunk worn sensors among national ice-hockey team members.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Purpose</h4>Video corroboration of player incurred impacts (PII) using trunk-worn wearable sensors (WS) among national ice-hockey team members.<h4>Methods</h4>23 members of the U.S. National (NTDP) U18 team consented to procedures approved by EMU Human Subjects Committee. Bioharness-3 (Zephyr, MD) WS recorded occurrences of PII during games and impacts were generated using Impact Processor (Zephyr, MD). Eight players with the top activity levels each game determined by WS, were observed using video and synchronized with game video collected by NTDP staff. Impacts identified by WS of 6-7.9 g (Z3), 8-9.9 g (Z4) and 10+ g (Z5) were used to corroborate PII. Magnitude and duration of each identified impact were compared by category using MANOVA with Tukey post hoc (α = 0.05; SPSS 22.0, IBM, NY).<h4>Results</h4>Of 419 on-ice impacts, 358 were confirmed true PII (85.5%), 60 as other non-PII (14.3%) and 1 false positive (0.2%). For 358 PII, 17 (4.1%) were 1) Board contact/no check, 74 (17.7%), 2) Board contact/check, 202 (48.2%), 3) Open ice check, 65 (15.5%), 4) Player fall. Of 60 Non-PII, 19 (4.5%) as 5) other form of player to player event, 16 (3.8%) as 6) Hard Stop, 19 (4.5%) as 7) Slapshots and 6 (1.4%) as 8) other identifiable player events. 160 of the 200 Z3 events were PII (80%), 103 of 110 Z4 events (93.6%) and 95 of 109 Z5 events were PII (87.2%). The magnitude of impacts was not different by category, but the duration of category 6 (Hard stop; .058 s) was lower than categories 2, 4 and 7 (.112, .112, .133 s, respectively, p < .05).<h4>Conclusion</h4>These data show that using some limited criteria (e.g. impact magnitude and duration), PII can be identified with relatively high accuracy in ice hockey using trunk-worn wearable sensors.
url https://doi.org/10.1371/journal.pone.0218235
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