IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform von Yang, Geng, Jiang, Mingzhe, Ouyang, Wei, Ji, Guangchao, Xie, Haibo, Rahmani, Amir M., Liljeberg, Pasi, Tenhunen, Hannu

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Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis von Cao, Rui, Azimi, Iman, Sarhaddi, Fatemeh, Niela-Vilen, Hannakaisa, Axelin, Anna, Liljeberg, Pasi, Rahmani, Amir M

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A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability von Sarhaddi, Fatemeh, Kazemi, Kianoosh, Azimi, Iman, Cao, Rui, Niela-Vilén, Hannakaisa, Axelin, Anna, Liljeberg, Pasi, Rahmani, Amir M

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Effects of auxetic shoe on lumbar spine kinematics and kinetics during gait and drop vertical jump by a combined in vivo and modeling investigation von Dehaghani, M. Rahmani, Nourani, Amir, Arjmand, N.

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Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation von Sarhaddi, Fatemeh, Azimi, Iman, Labbaf, Sina, Niela-Vilén, Hannakaisa, Dutt, Nikil, Axelin, Anna, Liljeberg, Pasi, Rahmani, Amir M

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Robust PPG Peak Detection Using Dilated Convolutional Neural Networks von Kazemi, Kianoosh, Laitala, Juho, Azimi, Iman, Liljeberg, Pasi, Rahmani, Amir M

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Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach von Cao, Rui, Rahmani, Amir M, Lindsay, Karen L

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An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram von Vo, Khuong, Le, Tai, Rahmani, Amir M, Dutt, Nikil, Cao, Hung

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Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experim... von Saarikko, Johanna, Axelin, Anna, Huvinen, Emilia, Rahmani, Amir M, Azimi, Iman, Pasanen, Miko, Niela-Vilén, Hannakaisa

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Evaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval von Azimi, Iman, Qi, Mohan, Wang, Li, Rahmani, Amir M., Li, Youlin

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Estimating 225Ac yield in thorium metal targets von Rahmani, M., Martinez, D. M.

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Pregnant women's daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology von Niela-Vilén, Hannakaisa, Auxier, Jennifer, Ekholm, Eeva, Sarhaddi, Fatemeh, Asgari Mehrabadi, Milad, Mahmoudzadeh, Aysan, Azimi, Iman, Liljeberg, Pasi, Rahmani, Amir M, Axelin, Anna

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Free falling and rising of spherical and angular particles von Rahmani, M., Wachs, A.

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Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications von Jafarlou, Salar, Azimi, Iman, Lai, Jocelyn, Wang, Yuning, Labbaf, Sina, Nguyen, Brenda, Qureshi, Hana, Marcotullio, Christopher, Borelli, Jessica L, Dutt, Nikil D, Rahmani, Amir M

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Internet of things for remote elderly monitoring: a study from user-centered perspective von Azimi, Iman, Rahmani, Amir M., Liljeberg, Pasi, Tenhunen, Hannu

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Electrical characterisation of Ag/poly(3-hexylthiophene)/silicon nanowires Schottky diode von Rahmani, M., Meftah, A.

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Deep velocity image of the north Zagros collision zone (Iran) from regional and teleseismic tomography von Rahmani, M, Motaghi, K, Ghods, A, Sobouti, F, Talebian, M, Ai, Y, Chen, L

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Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice von Vishwanath, Manoj, Jafarlou, Salar, Shin, Ikhwan, Lim, Miranda M, Dutt, Nikil, Rahmani, Amir M, Cao, Hung

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Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach von Rahmani, Amir M., Gia, Tuan Nguyen, Negash, Behailu, Anzanpour, Arman, Azimi, Iman, Jiang, Mingzhe, Liljeberg, Pasi

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Robust Kalman filtering for discrete-time systems with stochastic uncertain time-varying parameters von Abolhasani, M, Rahmani, M

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