Publications

    Book chapter

  1. 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

  2. Journal paper

  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
    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={},}
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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

  36. Conference paper

  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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