S, P., M, B., EE, R., S, S., J, D., & R, K. (2023). An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study. JMIR biomedical engineering, 8, e43726. https://doi.org/10.2196/43726
Chicago Style (17th ed.) CitationS, Popham, Burq M, Rainaldi EE, Shin S, Dunn J, and Kapur R. "An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study." JMIR Biomedical Engineering 8 (2023): e43726. https://doi.org/10.2196/43726.
MLA (9th ed.) CitationS, Popham, et al. "An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study." JMIR Biomedical Engineering, vol. 8, 2023, p. e43726, https://doi.org/10.2196/43726.