Idioma:

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems

Scott, Kirsty ; Bonci, Tecla ; Alcock, Lisa ; Buckley, Ellen ; Hansen, Clint ; Gazit, Eran ; Schwickert, Lars ; Cereatti, Andrea ; Mazzà, Claudia ; On Behalf Of The Mobilise-D Consortium

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8223 [Periódico revisado por pares]

Switzerland: MDPI AG

Texto completo disponível

Citações Citado por

Enviar para

Título:
A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems
Autor: Scott, Kirsty ; Bonci, Tecla ; Alcock, Lisa ; Buckley, Ellen ; Hansen, Clint ; Gazit, Eran ; Schwickert, Lars ; Cereatti, Andrea ; Mazzà, Claudia ; On Behalf Of The Mobilise-D Consortium
Assuntos: 3D motion capture ; Accuracy ; Alternative technology ; Automation ; Calibration ; Cameras ; Control equipment ; Data collection ; Graphical user interface ; Human motion ; Humans ; Laboratories ; Manufacturers ; Movement ; optoelectronic stereophotogrammetry ; Optoelectronics ; Photogrammetry ; Quality Control ; Reference systems ; spot check ; Systematic errors
É parte de: Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8223
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Membership of Mobilise-D consortium is provided in the Acknowledgements.
Descrição: Optoelectronic stereophotogrammetric (SP) systems are widely used in human movement research for clinical diagnostics, interventional applications, and as a reference system for validating alternative technologies. Regardless of the application, SP systems exhibit different random and systematic errors depending on camera specifications, system setup and laboratory environment, which hinders comparing SP data between sessions and across different systems. While many methods have been proposed to quantify and report the errors of SP systems, they are rarely utilized due to their complexity and need for additional equipment. In response, an easy-to-use quality control (QC) check has been designed that can be completed immediately prior to a data collection. This QC check requires minimal training for the operator and no additional equipment. In addition, a custom graphical user interface ensures automatic processing of the errors in an easy-to-read format for immediate interpretation. On initial deployment in a multicentric study, the check (i) proved to be feasible to perform in a short timeframe with minimal burden to the operator, and (ii) quantified the level of random and systematic errors between sessions and systems, ensuring comparability of data in a variety of protocol setups, including repeated measures, longitudinal studies and multicentric studies.
Editor: Switzerland: MDPI AG
Idioma: Inglês

Links

View this record in MEDLINE/PubMed

Voltar para lista de resultados

Anterior Resultado 8 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems

Scott, Kirsty ; Bonci, Tecla ; Alcock, Lisa ; Buckley, Ellen ; Hansen, Clint ; Gazit, Eran ; Schwickert, Lars ; Cereatti, Andrea ; Mazzà, Claudia ; On Behalf Of The Mobilise-D Consortium

Switzerland: MDPI AG

Buscando em bases de dados remotas. Favor aguardar.