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Published by us

  • Greenwood-Hickman MA, Nakandala S, Jankowska MM, Rosenberg DE, Tuz-Zahra F, Bellettiere J, Carlson J, Hibbing PR, Zou J, Lacroix AZ, Kumar A, Natarajan L. The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study. Med Sci Sports Exerc. 2021 Nov 1;53(11):2445-2454.DOI
  • Nakandala, S., Jankowska, M. M., Tuz-Zahra, F., Bellettiere, J., Carlson, J. A., LaCroix, A. Z., Hartman, S. J., Rosenberg, D. E., Zou, J., Kumar, A., & Natarajan, L. (2021). Application of Convolutional Neural Network Algorithms for Advancing Sedentary and Activity Bout Classification, Journal for the Measurement of Physical Behaviour, 4(2), 102-110.DOI Paper
  • Carlson, J.A., Ridgers, N.D., Nakandala, S. et al. CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children. Int J Behav Nutr Phys Act 19, 109 (2022).DOI
  • Bellettiere J, Carlson JA, Di C, Dillon L, Dunstan D, Greenwood-Hickman MA, Healy GN, Hibbing PR, Jankowska MM, Kumar A, LaCroix AZ, Nakandala S, Owen N, Ridgers ND, Rosenberg D, Tuz-Zahra F, Winkler E, Zou J, & Natarajan L. (in Press) CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data from Hip-Worn Accelerometers in Adults Aged 35+. Journal for the Measurement of Physical Behaviour.

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