Plekhanova, Tatiana

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2024) · npj Digital Medicine

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 40

Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm

Maylor, B. D., Edwardson, C. L., Dempsey, P. C., Patterson, M. R., Plekhanova, T., Yates, T., & Rowlands, A. V. (2022) · Sensors

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 30

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2023) · medRxiv

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 3

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Doherty, A., Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A., Maddison, K., Bucan, M., Gehrman, P., Rowlands, A., Ray, D., et al. (2023) · Research Square

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 0