Health SciTech Group | Publications

The automatic feed is temporarily unavailable. The saved WordPress publication list is shown below.

Kianoosh Kazemi1, Iman Azimi, Pasi Liljeberg, and Amir M. Rahmani, "Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?", 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), 2023-06-06
Ajan Subramanian, Yong Huang, Melissa D. Pinto, Charles A. Downs, and Amir M. Rahmani, "Estimating the Impact of Pre-Exposure Prophylaxis (PrEP) on Mortality in COVID-19 Patients: A Causal Inference Approach", 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), 2023-06-06
Jennifer Auxier, Kaisu T Savolainen, Miriam Bender, Amir M. Rahmani, Fatemeh Sarhaddi, Iman Azimi, Anna Axelin,, "Exploring access as a process of adaptation in a self-monitoring perinatal eHealth system: Mixed-method study from a socio-material perspective", JMIR Formative Research Journal (JMIR-JFR), 2023-06-06
Zahra Sharifiheris, Amir M. Rahmani, Anna Axelin, Mahkameh Rasouli, Miriam Bender, "Heart Rate Variability and Pregnancy Complications: Systematic Review", JMIR Interactive Journal of Medical Research (JMIR-IJMR), 2023-06-06
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, "Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings", IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHACE'23), 2023-03-24
Mohammad Feli, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, "An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment", Elsevier Smart Health Journal, 2023-03-24
Thomas D. Hughes, Ajan Subramanian, Rana Chakraborty, Shannon A. Cotton, Maria Del Pilar Giraldo Herrera, Yong Huang, Natalie Lambert, Melissa D. Pinto, Amir M. Rahmani, Carmen Josefa Sierra, and Charles A. Downs, "The effect of SARS-CoV-2 variant on respiratory features and mortality", Nature Scientific Reports, 2023-03-24
Fatemeh Sarhaddi, Kianoosh Kazemi, Iman Azimi, Rui Cao, Hannakaisa Niela-Vil'en, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani, "A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability", Public Library of Science (PLOS) ONE, 2023-03-08
Hannakaisa Niela-Vilén, Eeva Ekholm, Fatemeh Sarhaddi, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Miko Pasanen, Anna Axelin, "Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study", Elsevier Sexual and Reproductive Healthcare, 2023-03-08
Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil Dutt, Jessica Borelli, Amir M. Rahmani, "Objective Prediction of Tomorrow’s Affect Using Multi-Modal Physiological and Behavioral Data: A 12-month Study on College Students", JMIR Formative Research Journal (JMIR-JFR), 2023-03-08
Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, and Pasi Liljeberg, "Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring", ACM Symposium on Applied Computing (SAC'23), 2023-03-08
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, and Amir M. Rahmani, "PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack", Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’23), 2023-03-08
Johanna Saarikko, Anna Axelin, Emilia Huvinen, Amir M. Rahmani, Iman Azimi, Miko Pasanen, Hannakaisa Niela-Vilén, "Supporting Lifestyle Change in Obese Pregnant Mothers through the Wearable Internet-of-Things (SLIM) – intervention for overweight pregnant women: Study protocol for a quasi-experimental trial", Public Library of Science (PLOS) ONE, 2023-03-08
Zahra Sharifiheris, Amir M. Rahmani, Joseph Onwuka, Miriam Bender, "Utilization of Heart Rate Variability for Autonomic Nervous System Assessment in Healthy Pregnant Women: A Systematic Review", JMIR Bioinformatics and Biotechnology Journal (JMIR-JBB), 2023-03-08
Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh Jain, "Towards Building Deep Personal Lifestyle Models using Multimodal N-of-1 Data", , 2022-11-01
Charles A Downs, Melissa D. Pinto, Yong Huang, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Heather L. Abrahim, Thomas Hughes, Maria Giraldo Herrera, Amir M. Rahmani, Nikil Dutt, Rana Chakraborty, Chr, "A distinct symptom pattern emerges for COVID-19 Long-Haul: A nationwide study", , 2022-10-11
Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh Jain, "World Food Atlas for Food Navigation", , 2022-10-10
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex Rivera, Sina Labbaf, Arman Anzanpour, Nikil Dutt, Ramesh Jain and Jessica Borelli, "Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being", Frontiers in Digital Health, 2022-09-12
Rui Cao, Amir M. Rahmani, Karen Lindsay, "Prenatal Stress Assessment using Heart Rate Variability and Salivary Cortisol: A Machine Learning-Based Approach", , 2022-09-09
Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M. Rahmani, Charles A Downs, "COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic", SAGE Journal of Clinical Nursing Research, 2022-09-08
Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil Dutt and Mohsen Imani, "Hyper-dimensional Computing Hybrid Learning on Multi-user Edge-cloud Networks", , 2022-09-08
Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto, "The Other COVID-19 Survivors: Timing, Duration, and Health Impact of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", , 2022-09-08
Stephanie M. Reich, Nestor Tulagan, Melissa Dahlin, *Sina Labaf, Nikil Dutt, "Pregnant in a Pandemic: Connecting Perceptions of Uplifts and Hassles to Mental Health", Journal of Health Psychology, 2022-08-18
*Kianoosh Kazemi, *Juho Laitala, *Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, "Robust PPG peak detection using dilated convolutional neural networks", Sensors, 2022-08-18
Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto, "The Other COVID-19 Survivors: Timing, Duration, and Health Impact of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", Wiley Journal of Clinical Nursing (JCN), 2022-08-18
Candace W Burton, Heather Abrahim, Thomas D Hughes, Charles A Downs, Natalie Lambert, Maria Giraldo Herrera, Yong Huang, Amir M. Rahmani, Jung-Ah Lee, Rana Chakraborty, Melissa D Pinto, "A Novel Conceptual Model of Trauma-Informed Care for Patients with Post-Acute Sequelae of SARS-CoV-2 Illness (PASC)", Journal of Advanced Nursing, 2022-07-21
Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi Kurdahi, "An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN", ACM Transactions on Computing for Healthcare, 2022-07-21
Yong Huang, Rui Cao, Amir M. Rahmani, "Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution", Machine Learning for Healthcare Conference, 2022-07-21
Zahra Mousavi, Katharine Simon, Alex Rivera, Asal Yunusova, Sirui Hu, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Ramesh Jain, Amir M. Rahmani, Jessica Borelli, "Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic: An Intensive Longitudinal Study", JMIR Formative Research Journal (JMIR-JFR), 2022-07-21
Jennifer Auxier, Milad Asgari Mehrabadi, Amir M. Rahmani, and Anna Axelin, "A Descriptive Comparative Pilot Study: Association between use of a self-monitoring device and sleep and stress outcomes in pregnancy", Computers, Informatics, Nursing Journal (CIN), 2022-06-08
Nima TaheriNejad, Paolo Perego, Amir M. Rahmani, "Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact", ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2022-06-08
ahra Mousavi, Katharine Simon, Alex Rivera, Asal Yunusova, Sirui Hu, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Ramesh Jain, Amir M. Rahmani, "Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic: An Intensive Longitudinal Study", JMIR Formative Research Journal, 2022-06-08
Salar Jafarlou, Amir M. Rahmani, Nikil Dutt, Sanaz Rahimi Mousavi, "ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil Dutt, "Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing", ACM Great Lakes Symposium on VLSI (GLSVLSI’22), 2022-04-04
Manoj Vishwanath, Nikil Dutt, Amir M. Rahmani, Miranda Lim, Hung Cao, "Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil Dutt, Amir M. Rahmani, "Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Mingzhe Jiang, Wanqing Wu, Amir M. Rahmani, Sanna Salanterä, Pasi Liljeberg, "Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg, "PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay, "Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022-04-04
Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care: A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop Artificial Intelligence", JMIR Formative Research Journal (JMIR-JFR), 2022-03-22
Zahra Sharifiheris, Juho Laitala, Antti Airola, Amir M. Rahmani, and Miriam Bender, "Machine learning modeling for preterm birth prediction using health record: A systematic review", JMIR Medical Informatics, 2022-03-22
Sina Shahhosseini, DongJoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, and Nikil Dutt, "Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks", ACM Transactions on Embedded Computing Systems (ACM-TECS), 2022-03-22
Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, "Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free Living Context", JMIR mHealth and uHealth, 2022-03-22
Tamara Jimah, Priscilla Kehoe, Holly Borg, Pamela Pimentel, Amir Rahmani, Nikil Dutt, Yuqing Guo, "A Micro-level Analysis of Physiological Responses to COVID-19: Continuous Monitoring of Pregnant Women in California", Frontiers in Public Health, section Infectious Diseases – Surveillance, Prevention and Treatment, 2022-01-26
Melissa D Pinto, Natalie Lambert, Charles A Downs, Heather Abrahim, Thomas D Hughes, Amir M. Rahmani, Candace W Burton, Rana Chakraborty, and Anna Axelin, "Case Report: Antihistamines for Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", The Journal for Nurse Practitioners (JNP), 2022-01-10
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, "AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems", IEEE/ACM Design, Automation and Test in Europe Conference (DATE), 2022-01-01
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani and Nikil Dutt, "Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks", ISQED, 2022-01-01
Hannakaisa Niela-Vilén, Iman Azimi, Kristin Suorsa, Fatemeh Sarhaddi, Sari Stenholm, Pasi Liljeberg, Amir M. Rahmani, and Anna Axelin, "Comparison of Oura smart ring against ActiGraph accelerometer for measurement of physical activity and sedentary time in a free-living context", Computers, Informatics, Nursing Journal (CIN), 2021-12-30
Rui Cao, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani, "Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison to Electrocardiography: A Comprehensive Analysis in Time and Frequency Domains", JMIR, 2021-11-08
Tamara Jimah; Holly Borg; Priscilla Kehoe; Pamela Pimentel; Arlene Turner; Sina Labbaf; Milad Asgari; Amir Rahmani; Nikil Dutt; Yuqing Guo, "The Two Happy Hearts Technology-based Pregnancy Health and Wellness Intervention in California: Case Study", JMIR, 2021-10-21
Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani, "An End-To-End and Accurate PPG-Based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks", EMBC, 2021-07-24
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, Amir M. Rahmani, "Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS", EMBC, 2021-07-24
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Carolyn Jones, Miranda Lim, Hung Cao, "Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram*", EMBC, 2021-07-24
Rui Cao, Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Amir M. Rahmani, "Objective Pain Assessment Using Wrist-Based PPG Signals: A Respiratory Rate Based Method", EMBC, 2021-07-24
Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil Dutt, Amir M. Rahmani, Marco Levorato, "Personalized Stress Monitoring Using Wearable Sensors in Everyday Settings", EMBC, 2021-07-24
Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, "Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement", ACM International Conference on Information Technology for Social Good (GoodIT’21), 2021-07-11
Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto, "COVID-19 Survivors’ Reports of the Timing, Duration, and Health Impacts of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", medRxiv, 2021-05-04
Emad Kasaeyan Naeini, Ajan Subramanian, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M Rahmani, "Pain Recognition with ECG Features in Postoperative Patients: Method Validation Study", Journal of Medical Internet Research, 2021-04-27
Jocelyn Lai, Amir Rahmani, Asal Yunusova, Alex Rivera, Sina Labbaf, Sirui Hu, Nikil Dutt, Ramesh Jain, Jessica Borelli, "Using Multi-modal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: A Case Study", JMIR Formative Research, 2021-04-14
Jessica Borelli, Jocelyn Lai, Asal Yunusova, Alex P. Rivera, Sina Labbaf, Sirui Hu, Nikil D. Dutt, Ramesh C. Jain, Amir Rahmani, "Nine Months in the Life of a College Student During 2020: A Case Study Using Multi-Modal Assessments to Capture Personalized Contexts of Well-being", PsyArXiv, 12 Nov, 2021-04-02
Seyed Amir Hossein Aqajari, Rui Cao, Emad Kasaeyan Naeini, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M. Rahmani, "Pain assessment tool with Electrodermal Activity for post-operative patients: A method validation study", JMIR mHealth and uHealth, 2021-03-26
Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil Dutt, Anna Axelin, Pasi Liljeberg and Amir M. Rahmani, "Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation", Sensors, 2021-03-24
Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, DongJoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil Dutt, "Towards Smart and Efficient Health Monitoring Using Edge-Enabled Situational-Awareness", AICAS, 2021-03-24
Milad Asgari Mehrabadi, Nikil Dutt, Amir M. Rahmani, "The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis", JMIR Public Health and Surveillance, 2021-03-09
Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M Rahmani, Charles Downs, "COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler:Looking for Clarity in the Haze of the Pandemic", medRxiv, 2021-03-07
Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI", medrxiv, 2021-03-06
Tamara Jimah, Holly Borg, Milad Asgari Mehrabadi, Sina Labbaf and Yuqing Guo, "A Digital Health Approach to Promote Emotional Well-Being in Pregnant Women: The Two Happy Hearts Case Study", Association of Women's Health, Obstetric and Neonatal Nurses Conference, Orlando, Florida, 2021-03-02
Tamara Jimah, Holly Borg, Pam Pimentel, Arlene Turner and Yuqing Guo, "Adapting the Two Happy Hearts Model to improve maternal and infant care during the COVID-19 pandemic", Association of Maternal & Child Health Programs Virtual Annual Conference, 2021-03-02
Tamara Jimah, Holly Borg, Priscilla Kehoe, Sina Labbaf, Milad Asgari Mehrabadi, Amir M. Rahmani, Nikil Dutt and Yuqing Guo, "Two Happy Hearts: A Technology-Based Personalized Health Self-Management Model for Pregnant Women", American Nursing Informatics Association Conference, San Diego, California, 2021-03-02
Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, DongJoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, "Exploring Computation Offloading in IoT Systems", Elsevier Journal of Information Systems (InfoSys), 2021-02-27
Johanna Saarikko, Hannakaisa Niela-Vilén, Amir M. Rahmani, and Anna Axelin, "Identifying target behaviors for weight management interventions for women who are overweight during pregnancy and the postpartum period: A qualitative study informed by the Behaviour Change Wheel,", BMC Pregnancy and Childbirth (PnC), 2021-02-27
Negin Sattari, Milad Asgari Mehrabadi, Amir Aqajari, Jing Zhang, Katharine Simon, Elisabet Alzueta, Teji Duali, Massimiliano de Zambotti, Amir M. Rahmani, Fiona Baker, and Sara Mednick, "Sleep Quality Prediction During the Menstrual Cycle based on Daily Sleep Diary Reports", SLEEP meeting, 2021-02-27
Hannakaisa Niela-Vilen, Jennifer Auxier, Eeva Ekholm, Fatemeh Sarhaddi, Milad Asgari Mehrabadi, Aysan Mahmoudzadeh, Iman Azimi, Pasi Liljeberg, Amir M Rahmani, Anna Axelin, "Pregnant women’s daily patterns of well-being before and during the COVID-19 pandemic in Finland: longitudinal monitoring through smartwatch technology", PLOS ONE, 2021-01-21
Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani and Pasi Liljeberg, "Lightweight PPG Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection", 12th International Conference on Ambient Systems, Networks and Technologies (ANT-2021), 2021-01-17
Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil Dutt and Amir M. Rahmani, "pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity", 12th International Conference on Ambient Systems, Networks and Technologies (ANT-2021), 2021-01-17
Asal Yunusova, Jocelyn Lai, Alexander P. Rivera, Sirui Hu, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Ramesh C. Jain, & Jessica L. Borelli, "Assessing Mental Health in Emerging Adulthood through a Mental Health Navigator: A Study Protocol", JMIR Journal of Research Protocols, 2021-01-06
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir Rahmani, Miranda Lim, Hung Cao, "Classification of Traumatic Brain Injury in a Mouse Model Using Quantitative Electroencephalogram Methods and Machine Learning Approaches", BMES Annual Meeting, 2020-12-23
Eunae Ju, Jung-Ah Lee, Priscilla Kehoe, Amir Rahmani, "Effective SLEEP Interventions for Community-Dwelling People with Dementia", Western Institute of Nursing's 54th Annual Communicating Nursing Research Conference, 2020-12-23
Khuong Vo, Emad Kasaeyan, Amir Naderi, Daniel Jilani, Amir M Rahmani, Nikil Dutt, Hung Cao, "P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks", The 36th ACM/SIGAPP Symposium On Applied Computing, 2020-12-23
Yuqing Guo, Priscilla Kehoe, Pamela Pimentel, Julie Rousseau, Anna Axelin, Amir M. Rahmani, Nikil Dutt, "Relationship Between Stress and Exercise in Low-Income Perinatal Women: A Mixed Methods Study,", The American Journal of Maternal Child Nursing (MCN), 2020-12-23
Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir m. Rahmani, Pasi Liljeberg, "UBAR: User and Battery Aware Resource Management for Smartphones", ACM Transactions on Embedded Computing Systems (TECS), 2020-12-23
Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, Jessica L. Borelli, "Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being", arXiv, 2020-12-15
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, and Amir M Rahmani, "Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS", arXiv preprint arXiv:2011.10470, 2020-11-01
Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Saana Myllyntausta, Sari Stenholm, Nikil Dutt, Pasi Liljeberg, Amir M Rahmani, "Sleep Validation of Commercially Available Smart Ring and Watch Against Medical-Grade Actigraphy in Everyday Settings", JMIR mHealth and uHealth, 2020-09-23
Maximilian Gotzinger, David Juhasz, Nima TaheriNejad, Edwin Willegger, Benedikt Tutzer, Pasi Liljeberg, Axel Jantsch, and Amir M. Rahmani, "RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems", IEEE Access Journal, 2020-07-09
Khuong Vo, Tai Le, Amir M. Rahmani, Nikil Dutt, Hung Cao, "An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram", Sensors Journal, 2020-07-01
R. Mieronkoski, E. Syrjälä, M. Jiang, A. Rahmani, T. Pahikkala, P. Liljeberg, S. Salanterä, "Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography", the Public Library of Science (PLOS) ONE Journal, 2020-06-18
A. Anzanpour, D. Amiri, I. Azimi, , M. Levorato, N. Dutt, P. Liljeberg, A.M. Rahmani, "Edge-Assisted Control for Healthcare Internet-of-Things: A Case Study on PPG-based Early Warning Score", ACM Transactions on Internet of Things, 2020-06-16
Emad Kasaeyan Naeini, Mingzhe Jiang, Elise Syrjälä, Michael-David Calderon, Riitta Mieronkoski, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M Rahmani, "A Prospective Study Evaluating a Pain Assessment Tool in Postoperative Environment: A Protocol for Algorithm Testing and Enhancement", JMIR Research Protocols Jorunal, 2020-05-17
Johanna Saarikko; Hannakaisa Niela-Vilen; Eeva Ekholm; Lotta Hamari; Iman Azimi; Pasi Liljeberg; Amir M Rahmani; Eliisa Löyttyniemi; Anna Axelin;, "Continuous 7-month Internet of Things -based monitoring of Health Parameters of Pregnant and Postpartum Women: A Feasibility Study", JMIR, 2020-05-14
Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Nikil Dutt, and Amir Rahmani, "Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems", IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2020-05-12
Han, H. J., Labbaf, S., Borelli, J. L., Dutt, N. & Rahmani, A. M., "Objective stress monitoring based on wearable sensors in everyday settings", Taylor & Francis Journal of Medical Engineering and Technology, 2020-04-20
Geng Yang, Zhibo Pang, Jamal Deen, Mianxiong Dong, Yuan-Ting Zhang, Nigel H. Lovell, and Amir M. Rahmani, "Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies", IEEE Journal of Biomedical and Health Informatics, 2020-04-15
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Miranda Lim, Hung Cao,, "Classification of Mild Traumatic Brain Injury in a Mouse Model Using Machine Learning Approaches", 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020-04-10
Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil Dutt, Amir M. Rahmani, Hung Cao, "Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice", MDPI Sensors 2020, 2020-03-31
Holly Borg, Hannah Vasquez, Michelle Heredia, Melissa Navarrete, Nikil Dutt, Amir M. Rahmani, and Yuqing Guo, "A Self-Management Model: Using Wearable Devices for Continuous Monitoring during the Perinatal Period", National Perinatal Association Annual Conference Perinatal Care and the 4th Trimester” (NPA’20), 2020-02-08
Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil Dutt, and Andreas Herkersdorf, "Constraint-Awareness in Self-Optimizing MPSoCs", Self-Awareness in Cyber-Physical Systems Workshop (SelPhys’20), 2020-02-08
Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil Dutt, "HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge", ACM CHI Conference on Human Factors in Computing Systems, Case Study (CHI'20-Case Study), 2020-02-08
Jung-Ah Lee, Anthony Park, and Amir M. Rahmani, "Sleep Duration and Quality in Dementia Caregivers: Wearable Iot Technology", Western Institute of Nursing's 52nd Annual Communicating Nursing Research Conference (WINURSING’20), 2020-02-08
Amir M. Rahmani, Sina Labbaf , Yuqing Guo, Joseph Onwuka, Ali Tazarv, Marco Levorato, and Nikil Dutt, "UNITE Technological Design: Promotion of Maternal Health Equity in Underserved Communities in Orange County, California", Institute for Diversity and Health Equity 2020 National Leadership and Education Conference (NLEC’20), 2020-02-08
Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg, "Robust ECG R-peak Detection Using LSTM", The 35th ACM/SIGAPP Symposium On Applied Computing (SAC'20), 2019-12-24
Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil Dutt, "An Edge-Assisted and Smart System for Real-Time Pain Monitoring", IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2019-09-26
Hannakaisa Niela-Vilen, Amir M. Rahmani, Pasi Liljeberg, and Anna Axelin, "Being ‘A Google Mom’ or Securely Monitored at Home – Perceptions of Remote Monitoring in Maternity Care", Wiley's Journal of Advanced Nursing, 2019-09-25
Momahmmad-Reza Nakhkash, Anil Kanduri, Amir M. Rahmani, and Pasi Liljeberg, "End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications", IEEE Nordic Circuits and Systems Conference (NORCAS’19), 2019-09-19
Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg, "Confidence-Enhanced Early Warning Score Based on Fuzzy Logic", ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2019-08-01
Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, Marco Levorato, "Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control", Fog Computing: Theory and Practice, Wiley, 2019-08-01
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, "Context-Aware Control of Wearable Sensors via Edge Computing", ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2019-07-22
Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilen, Anna Axelin, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, "Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study", IEEE Access, 2019-07-09
BibTex
@ARTICLE{8758420, author={I. {Azimi} and O. {Oti} and S. {Labbaf} and H. {Niela-Vilén} and A. {Axelin} and N. {Dutt} and P. {Liljeberg} and A. M. {Rahmani}}, journal={IEEE Access}, title={Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study}, year={2019}, volume={7}, number={}, pages={93433-93447}, abstract={Sleep is a composite of physiological and behavioral processes that undergo substantial changes during and after pregnancy. These changes might lead to sleep disorders and adverse pregnancy outcomes. Several studies have investigated this issue; however, they were restricted to subjective measurements or short-term actigraphy methods. This is insufficient for a longitudinal maternal sleep quality evaluation. A longitudinal study: 1) requires a long-term data collection approach to acquire data from everyday routines of mothers and 2) demands a sleep quality assessment method exploiting a large volume of multivariate data to assess sleep adaptations and overall sleep quality. In this paper, we present an Internet-of-Things-based long-term monitoring system to perform an objective sleep quality assessment. We conduct longitudinal monitoring, where 20 pregnant mothers are remotely monitored for six months of pregnancy and one month postpartum. To evaluate sleep quality adaptations, we: 1) extract several sleep attributes and study their variations during the monitoring and 2) propose a semi-supervised machine learning approach to create a personalized sleep model for each subject. The model provides an abnormality score, which allows an explicit representation of the sleep quality in a clinical routine, reflecting possible sleep quality degradation with respect to her own data. Sleep data of 13 participants (out of 20) are included in our analysis, as their data are adequate for the study, including 172.15±33.29 days of sleep data per person. Our fine-grained objective measurements indicate that the sleep duration and sleep efficiency are deteriorated in pregnancy and notably in postpartum. In comparison to the mid of the second trimester, the sleep model indicates the increase of sleep abnormality at the end of pregnancy (2.87 times) and postpartum (5.62 times). We also show that the model enables individualized and effective care for sleep disturbances during pregnancy, as compared to a baseline method.}, keywords={Task analysis;Sensors;Internet of Things;Resource management;Remuneration;Device-to-device communication;Wireless sensor networks;Anomaly detection;Internet of Things;longitudinal study;maternity care;sleep monitoring;sleep quality assessment}, doi={10.1109/ACCESS.2019.2927781}, ISSN={2169-3536}, month={},}

Publications

Research publications