Seminario: Análisis estadísticos. Acelerómetros

Taller internacional

Análisis estadísticos para analizar datos de actividad física medidos con acelerómetros

Organiza: Unidad Científica de Excelencia Ejercicio y Salud (UCEES) con la colaboración del Dpto. de Educación Física y deportiva, Facultad de Ciencias del Deporte, Universidad de Granada, red de investigación en salud y ejercicio EXERNET, Psymtec Material Técnico S.L., Movisens, Activinsights.

Coordina: Francisco B. Ortega y Jairo H. Migueles

Lugar: Instituto Mixto Universitario Deporte y Salud

• https://www.granadacongresos.com/aiw2019

Programa:

• 08.00 – 09.00 Registration
• 09.00 – 09.30 Welcome and Introduction to this Workshop

Francisco Javier O’Valle Ravassa. Head of Research Institutes and Centres, University of Granada Jonatan R. Ruiz. PROFITH research group. University of Granada, Spain.
Workshop Chairman: Dr. Francisco B. Ortega. PROFITH research group. University of Granada, Spain.

• 09.30 – 10.30 Session 1

Dr. Lars Bo Andersen. “An historical perspective on the evaluation of Accelerometry methods and analysis”. Western Norway University of Applied Sciences, Norway.
Dr. Bjørge H. Hansen. “Accelerometer data pooling experiences from two projects (ICAD and DEDIPAC) and isotemporal substitution”. Norwegian School of Sport Sciences, Oslo, Norway.

• 10.30 – 11.00 Poster Presentation Session
• 11.00 – 11.30 Coffee break – Poster exhibition
• 11.30 – 13.30 Session 2

Dr. Duncan E. McGregor. “Compositional data analysis – why and how to do it?”. Glasgow Caledonian University, Glasgow, Scotland, UK.
Dr. Sebastien Chastin. “Compositional data analysis applied to physical activity data”. Glasgow Caledonian University, Glasgow, Scotland, UK.
Dr. Olav M Kvalheim. “Multivariate pattern analysis – why and how to do it?” University of Bergen, Bergen, Norway.
Dr. Eivind Aadland. “Multivariate pattern analysis applied to accelerometry physical activity data”. Western Norway University of Applied Sciences, Norway.

• 13.30 – 14.30 Lunch and poster exhibition
• 14.30 – 15.15 Selected Oral presentations
• 15.15 – 16.15 Session 3

Dr. Alex V. Rowlands. “Data-driven, meaningful, easy to interpret, standardised accelerometer outcome variables for global surveillance”. University of Leicester, United Kingdom.
Dr. Vincent van Hees. “Machine learning applications to segment physical activity time series data: Activity types, intensity levels, and how to make it interpretable and sustainable”. Independent consultant, Amsterdam, The Netherlands.

• 16.15 – 16.45 Coffee break – Poster exhibition
• 16.45 – 17.45 Session 4

D. Jairo H. Migueles. “Workshop on accelerometer data processing using GGIR package in R: Bring your laptop if you want to practice!”. University of Granada, Granada, Spain

• 17.45 – 18.00 Closing remarks

Dr. Francisco B. Ortega. & D. Jairo H. Migueles. PROFITH research group. University of Granada, Spain.

• 19.30 Cultural running