Iman Azimi

Sarhaddi, F., Azimi, I., Niela-Vilen, H., Axelin, A., Liljeberg, P., & Rahmani, A. M. (2023). Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study. JMIR Formative Research, 7, 1. http://doi.org/10.2196/47950

Labbaf, S., Abbasian, M., Azimi, I., Dutt, N., & Rahmani, A. M. (2023). ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers in Digital Health, 5. http://doi.org/10.3389/fdgth.2023.1253087

Feli, M., Azimi, I., Anzanpour, A., Rahmani, A. M., & Liljeberg, P. (2023). An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment. Smart Health, 28(C), 1. http://doi.org/10.1016/j.smhl.2023.100390

Wang, Y., Azimi, I., Feli, M., Rahmani, A. M., & Liljeberg, P. (2023). Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. In ACM SAC (p. 6). ACM. http://doi.org/10.1145/3555776.3577675

Niela-Vilen, H., Ekholm, E., Sarhaddi, F., Azimi, I., Rahmani, A. M., Liljeberg, P., … Axelin, A. (2023). Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study. Sexual & Reproductive Healthcare, 35(C), 1. http://doi.org/10.1016/j.srhc.2023.100820

Sarhaddi, F., Azimi, I., Labbaf, S., Niela-Vilen, H., Dutt, N., Axelin, A., … Rahmani, A. M. (2021). Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors, 21(7), 1. http://doi.org/10.3390/s21072281

Niela-Vilen, H., Auxier, J., Ekholm, E., Sarhaddi, F., Asgari Mehrabadi, M., Mahmoudzadeh, A., … Axelin, A. (2021). Pregnant women’s daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology. PLOS ONE, 16(2), 1. http://doi.org/10.1371/journal.pone.0246494

Mahmoudzadeh, A., Azimi, I., Rahmani, A. M., & Liljeberg, P. (2021). Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. Procedia Computer Science, 184(C), 8. http://doi.org/10.1016/j.procs.2021.03.025

Asgari Mehrabadi, M., Azimi, I., Sarhaddi, F., Axelin, A., Niela-Vilen, H., Myllyntausta, S., … Rahmani, A. M. (2020). Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study. JMIR MHealth and UHealth, 8(10), 1. http://doi.org/10.2196/20465

Naeini, E. K., Azimi, I., Rahmani, A. M., Liljeberg, P., & Dutt, N. (2019). A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. Procedia Computer Science, 151(C), 8. http://doi.org/10.1016/j.procs.2019.04.074