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| Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health |
| Bens Pardamean, Haryono Soeparno, Arif Budiarto, Bharuno Mahesworo, James Baurley |
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Healthc Inform Res. 2020;26(2):83-92. Published online April 30, 2020 DOI: https://doi.org/10.4258/hir.2020.26.2.83 |
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Quantified Self-Using Consumer Wearable Device: Predicting Physical and Mental Health Healthcare Informatics Research. 2020;26(2):83-92  Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device Digital Biomarkers. 2018;2(1):47-63 Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking International Journal of Environmental Research and Public Health. 2009;6(2):492-525 Physical activity and global self-worth: The role of physical self-esteem indices and gender Mental Health and Physical Activity. 2011;4(2):49-56 Participative mental health consumer research for improving physical health care: An integrative review International Journal of Mental Health Nursing. 2016;25(5):399-408 Privacy and the quantified self: A review of U.S. health information policy limitations related to wearable technologies Journal of Consumer Affairs. 2020;54(4):1355-1374 Monitoring physical activity using a wearable device in Pompe disease Neuromuscular Disorders. 2017;27:S163 Wearable devices and smartphones for activity tracking among people with serious mental illness Mental Health and Physical Activity. 2016;10:10-17 Four Ironies of Self-quantification: Wearable Technologies and the Quantified Self Science and Engineering Ethics. 2020;26(3):1477-1498 1208 Sleep Stage Prediction And Sleep Disordered Breathing Detection Using Raw Actigraphy And Photoplethysmography From Wearable Consumer Device Sleep. 2020;43(Supplement_1):A461-A462 |
