In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates. This filter combines two different orientation estimates by applying a correction of the (1) gyroscope-based estimate in the direction of the (2) earth frame-based estimate. However, in sports situations that are characterized by relatively large linear accelerations and/or close magnetic sources, such as wheelchair sports, obtaining accurate IMU orientation estimates is challenging. In these situations, applying the MW filter in the regular way, i.e., with the same magnitude of correction at all time frames, may lead to estimation errors. Therefore, in this study, the MW filter was extended with machine learning to distinguish instances in which a small correction magnitude is beneficial from instances in which a large correction magnitude is beneficial, to eventually arrive at accurate body segment orientations in IMU-challenging sports situations. A machine learning algorithm was trained to make this distinction based on raw IMU data. Experiments on wheelchair sports were performed to assess the validity of the extended MW filter, and to compare the extended MW filter with the original MW filter based on comparisons with a motion capture-based reference system. Results indicate that the extended MW filter performs better than the original MW filter in assessing instantaneous trunk inclination (7.6 vs. 11.7◦ root-mean-squared error, RMSE), especially during the dynamic, IMU-challenging situations with moving athlete and wheelchair. Improvements of up to 45% RMSE were obtained for the extended MW filter compared with the original MW filter. To conclude, the machine learning-based extended MW filter has an acceptable accuracy and performs better than the original MW filter for the assessment of body segment orientation in IMU-challenging sports situations.
Context: Only 55% of the athletes return to competitive sports after an anterior cruciate ligament (ACL) injury. Athletes younger than 25 years who return to sports have a second injury rate of 23%. There may be a mismatch between rehabilitation contents and the demands an athlete faces after returning to sports. Current return-to-sports (RTS) tests utilize closed and predictable motor skills; however, demands on the field are different. Neurocognitive functions are essential to manage dynamic sport situations and may fluctuate after peripheral injuries. Most RTS and rehabilitation paradigms appear to lack this aspect, which might be linked to increased risk of second injury.Objective: This systematic and scoping review aims to map existing evidence about neurocognitive and neurophysiological functions in athletes, which could be linked to ACL injury in an integrated fashion and bring an extensive perspective to assessment and rehabilitation approaches.Data Sources: PubMed and Cochrane databases were searched to identify relevant studies published between 2005 and 2020 using the keywords ACL, brain, cortical, neuroplasticity, cognitive, cognition, neurocognition, and athletes.Study Selection: Studies investigating either neurocognitive or neurophysiological functions in athletes and linking these to ACL injury regardless of their design and technique were included.Study Design: Systematic review. Level of Evidence: Level 3.Data Extraction: The demographic, temporal, neurological, and behavioral data revealing possible injury-related aspects were extracted and summarized.Results: A total of 16 studies were included in this review. Deficits in different neurocognitive domains and changes in neurophysiological functions could be a predisposing risk factor for, or a consequence caused by, ACL injuries.Conclusion: Clinicians should view ACL injuries not only as a musculoskeletal but also as a neural lesion with neurocognitive and neurophysiological aspects. Rehabilitation and RTS paradigms should consider these changes for assessment and interventions after injury.
Fields neighboring the disciplines of kinesiology and sports science have called for more interdisciplinary work, including the adoption of critical approaches to research. This scoping review explored the degree to which critically-aligned research has developed within these disciplines. The goal was to identify who this research studied, what methods were used, and which theoretical and conceptual frameworks were adopted. Publications between 2010-2022 in six top kinesiology and sports science journals using four databases were searched using keywords to identify critically-aligned research. A multi-step screening process was used to identify and sort articles that adequately fit the criteria of critically-aligned research. The scoping review identified 5666 entries of which 3300 were unique publications. 76 articles were assessed to be critically-aligned. Four themes regarding demographics emerged: Geographic area, gender, race/ethnicity/indigeneity, and inequality/inequity. Regarding methodology, three major theoretical and conceptual frameworks emerged: ecological, socio-economic, and cultural. Overall, a relatively small number of studies fit our search criteria, suggesting that critically-aligned research remains at the margins of the disciplines. For the studies that were critically-aligned, they often centered the Global North and were inconsistent in their application of categories such as race, ethnicity, inequality and equity. These studies were diverse in their methodological approach while relying on ecological, socio-economic, and cultural frameworks. To heed the calls for a more interdisciplinary approach, and to advance the disciplines more generally, kinesiology and sports science should expand their adoption of critical approaches to research.
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Digital innovations in the field of immersive Augmented Reality (AR) can be a solution to offer adults who are mentally, physically or financially unable to attend sporting events such as premier league football a stadium and match experience. This allows them to continue to connect with their social networks. In the intended project, AR content will be further developed with the aim of evoking the stadium experience of home matches as much as possible. The extent to which AR enriches the experience is then tested in an experiment, in which the experience of a football match with and without AR enrichment is measured in a stadium setting and in a home setting. The experience is measured with physiological signals. In addition, a subjective experience measure is also being developed and benchmarked (the experience impact score). Societal issueInclusion and health: The joint experience of (top) sports competitions forms a platform for vulnerable adults, with a limited social capital, to build up and maintain the social networks that are so necessary for them. AR to fight against social isolation and loneliness.
Ballet en moderne dans zijn een vorm van topsport. De druk op dansers is enorm. Lange en intensieve werkdagen, veel reizen en verschillende werkplekken maken het lastig om lichaam en geest goed te verzorgen. Hierdoor liggen blessures en mentale klachten op de loer. Nederlandse dansgezelschappen willen meer aandacht gaan besteden aan preventieve maatregelen om fysieke en mentale problemen bij hun dansers te voorkomen. Het ontbreekt hen echter aan kennis en kunde om dit innovatieve vraagstuk op te kunnen pakken. Het Nationale Ballet en het Scapino Ballet hebben het lectoraat Performing Arts Medicine van Codarts (Hogeschool voor de Kunsten Rotterdam) benaderd om antwoord te krijgen op de vraag hoe dansers op de hoogste podia, op gezonde wijze, hun beste performance kunnen laten zien. Gezamenlijk is deze praktijkvraag omgevormd naar drie onderzoeksdoelstellingen: 1. Opstellen van meetinstrumenten om de fysieke en mentale gezondheid van dansers te screenen en te monitoren; 2. Ontwerpen van een web-based systeem dat automatisch en real-time informatie uit de ontwikkelde meetinstrumenten kan inlezen, analyseren en interpreteren; 3. Ontwikkelen van een Fit to Perform protocol dat aanbevelingen geeft ten aanzien van het verbeteren van de fysieke en mentale gesteldheid van de danser. Het consortium bestaat uit de volgende organisaties: - Praktijkgerichte onderzoeksinstellingen: Codarts Rotterdam en Hogeschool van Amsterdam; - Universiteiten: ErasmusMC, Technische Universiteit Eindhoven en Vrije Universiteit Amsterdam; - Praktijkinstellingen: Het Nationale Ballet en het Scapino Ballet; - Overige instellingen: het Nederlands Paramedisch Instituut (NPi) en het Nationale Centrum Performing Arts (NCPA). Bij de samenstelling van het consortium is gekozen voor een goede mix tussen praktijkorganisaties, onderzoeksinstituten en onderwijsinstellingen. Daarnaast is er sprake van cross-sectorale samenwerking doordat kennis vanuit de podiumkunsten, sport, gezondheidszorg, onderwijs en technologie met elkaar verbonden wordt.
Codarts wil met deze SPRONG-aanvraag het PErforming artist and Athlete Research Lab (PEARL) oprichten. PEARL is het nationale onderzoekscentrum dat zich richt op de gezondheid en vitaliteit van podiumkunstenaars (dansers, musici en circusartiesten) en sporters. Doel van PEARL is om bij podiumkunstenaars en sporters enerzijds gezondheidsklachten te voorkomen en anderzijds de gezondheid te optimaliseren, zodat zij in staat zijn om tot excellente prestaties te komen. PEARL bestaat uit acht fieldlabs. Dit zijn fysieke locaties in ‘het veld’ met unieke test- en meetfaciliteiten waar podiumkunstenaars, sporters, maar ook (revaliderende) patiënten ter plekke onderzocht en geadviseerd worden. Deze fieldlabs verzamelen onder leiding van onderzoekers gegevens over de gezondheid van podiumkunstenaars en sporters. De gegevens worden opgeslagen in een datawarehouse, geanalyseerd en op begrijpelijke wijze teruggekoppeld naar podiumkunstenaars, sporters en hun begeleiders. PEARL vormt de (tot nog toe ontbrekende) verbindende schakel tussen podiumkunsten, sport, zorg, onderzoek, onderwijs en bedrijfsleven. Dankzij de interdisciplinaire programmatische aanpak en visie kan PEARL inspelen op de doelstellingen en behoeften van alle betrokken partijen en deze effectief bedienen. PEARL brengt bewegingswetenschappers, fysiotherapeuten, sportartsen, ICT’ers, MKB’ers en data scientists samen. Zij kunnen gezamenlijk op basis van de data podiumkunstenaars, sporters en hun begeleiders trainingsprogramma’s op maat aanbieden. Dankzij deze unieke krachtenbundeling is het met PEARL mogelijk wetenschappelijk gefundeerd beleid te maken om de gezondheid van podiumkunstenaars en sporters te optimaliseren. Hierdoor zal PEARL in Nederland een grote bijdrage leveren aan betere topsport- en podiumprestaties en aan het reduceren van blessures. Wat het buitenland betreft: het is de bedoeling dat PEARL uiteindelijk zal uitgroeien tot een, internationaal toonaangevend, Advanced Research Center. De volgende organisaties zijn bij PEARL betrokken: - Kennisinstellingen: Codarts Rotterdam, ErasmusMC, VUmc, Hogeschool Rotterdam, Rotterdam Arts & Sciences Lab (RASL) - Podiumkunsten: Het Nationaal Ballet, Rotterdams Philharmonisch Orkest, Circusstad Rotterdam en het Nationaal Centrum Performing Arts (NCPA) - Sport: Rotterdam Topsport - Zorg: Nederlandse Vereniging voor Fysiotherapie in de Sportgezondheidszorg (NVFS) en het Nederlands Paramedisch Instituut (NPI) - MKB: Johan Sports, Sportgeneeskunde Rotterdam
