APA (7th ed.) Citation

JE, K., NH, K., SK, C., JY, L., K, L., & JS, H. (2025). Machine learning-based fatigue classification using heart rate variability and cortisol: A multimodal approach to wearable health monitoring. Digital health, 11, 20552076251395570. https://doi.org/10.1177/20552076251395570

Chicago Style (17th ed.) Citation

JE, Kim, Kim NH, Choi SK, Lee JY, Lee K, and Han JS. "Machine Learning-based Fatigue Classification Using Heart Rate Variability and Cortisol: A Multimodal Approach to Wearable Health Monitoring." Digital Health 11 (2025): 20552076251395570. https://doi.org/10.1177/20552076251395570.

MLA (9th ed.) Citation

JE, Kim, et al. "Machine Learning-based Fatigue Classification Using Heart Rate Variability and Cortisol: A Multimodal Approach to Wearable Health Monitoring." Digital Health, vol. 11, 2025, p. 20552076251395570, https://doi.org/10.1177/20552076251395570.