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Activity analysis

Gadgetbridge currently stores raw data in its database. Raw data has to be read as "data as sent by the device": what kind of processing is done within each device is beyond our knowledge.

Actigraphy even with pulse oximetry has very limited ability to accurately Eg r = 0.15 for a more elaborate device than any supported by Gadgetbridge vs in lab sleep study (Penzel, Kesper, Pinnow, Becker, & Vogelmeier, 2004). Though better in this systematic analysis (Yalamanchali, Farajian, Hamilton, Pott, Samuelson, & Friedman, 2013).

Issue tracker topics

There are many issues in the tracker about this. Even if you simply sort issues by "most commented", you will get those interesting discussions. Here is one of them, with some tables of decoded/thought of activity analysis.

Sources

  • Ainsworth, B. E., Haskell, W. L., Whitt, M. C., Irwin, M. L., Swartz, A. M., Strath, S. J., O'brien, W. L., Bassett, D. R., Jr., Schmitz, K. H., Emplaincourt, P. O., Jacobs, D. R. Jr., & Leon, A. S. (2000, September). Compendium of physical activities: An update of activity codes and MET intensities. Medicine & Science in Sports & Exercise, 32, 498-516. doi:10.1097/00005768-200009001-00009, can be found here.
  • Bao L., & Intille S. S. (2004). Activity Recognition from User-Annotated Acceleration Data. In Ferscha, A., & Mattern, F. (Eds.), Pervasive Computing: Second International Conference, PERVASIVE 2004, Vienna Austria, April 21-23, 2004, Proceedings (1-17). Berlin-Heidelberg, Germany: Springer-Verlag. doi: 10.1007/978-3-540-24646-6_1, can be found here.
  • Fitbit Blog
  • Penzel, T., Kesper, K., Pinnow, I., Becker, H. F., & Vogelmeier, C. (2004, August). Peripheral arterial tonometry, oximetry and actigraphy for ambulatory recording of sleep apnea. Physiological measures, 25(4), 1025-1036. doi:10.1088/0967-3334/25/4/019, can be found here.
  • van Hees T. V., & Ekelund, U. (2009, September 1). Novel daily energy expenditure estimation by using objective activity type classification: where do we go from here? Journal of Applied Physiology, 107(3), 639-640. doi:10.1152/japplphysiol.00793.2009, can be found here.
  • Yalamanchali, S., Farajian, V., Hamilton, C., Pott, T. R., Samuelson, C. G., & Friedman, M. (2013, December 1). Diagnosis of obstructive sleep apnea by peripheral arterial tonometry. JAMA Otolaryngology - Head & Neck Surgery, 139(12), 1343-1350. doi:10.1001/jamaoto.2013.5338, can be found here.
  • Estimation of sleep stages in a healthy adult population from optical plethysmography and accelerometer signals, Z Beattie1, Y Oyang1, A Statan1, A Ghoreyshi1, A Pantelopoulos1, A Russell1 and C Heneghan1, Published 31 October 2017 • © 2017 Institute of Physics and Engineering in Medicine, can be found here.
  • Rahimi-Eichi H, Coombs Iii G, Vidal Bustamante CM, Onnela JP, Baker JT, Buckner RL. Open-source Longitudinal Sleep Analysis From Accelerometer Data (DPSleep): Algorithm Development and Validation. JMIR Mhealth Uhealth. 2021 Oct 6;9(10):e29849. doi: 10.2196/29849. PMID: 34612831; PMCID: PMC8529474, can be found here.
  • Another search results.