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Pasi Liljeberg

Pasi Liljeberg

D-Index & Metrics

Computer Science

D-Index
51
Citations
11091
World Ranking
5309
National Ranking
35

Electronics and Electrical Engineering

D-Index
51
Citations
11175
World Ranking
2643
National Ranking
20

Overview

Pasi Liljeberg is affiliated with the University of Turku in Finland. Their research primarily focuses on the field of Medicine with significant contributions in subfields such as Cardiology and Cardiovascular Medicine, Biomedical Engineering, Computer Networks and Communications, Surgery, and Computer Vision and Pattern Recognition.

Their main research topics include:

  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • Hemodynamic Monitoring and Therapy
  • Musculoskeletal pain and rehabilitation
  • IoT and Edge/Fog Computing
  • Context-Aware Activity Recognition Systems
  • Maternal Mental Health During Pregnancy and Postpartum

Pasi Liljeberg has published research in several frequently occurring venues, including:

  • arXiv (Cornell University)
  • JMIR mhealth and uhealth
  • PLoS ONE
  • ACM Transactions on Computing for Healthcare
  • JMIR Formative Research

Some of their recent papers include:

  • Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study, 2020, JMIR mhealth and uhealth
  • Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis, 2021, Journal of Medical Internet Research
  • Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation, 2021, Sensors
  • Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study, 2021, JMIR mhealth and uhealth
  • A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability, 2022, PLoS ONE

Frequent co-authors of Pasi Liljeberg include:

  • Iman Azimi
  • Amir M. Rahmani
  • Nikil Dutt
  • Anna Axelin

Best Publications

  • Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things

    Amir M. Rahmani;Tuan Nguyen Gia;Behailu Negash;Arman Anzanpour

  • Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction

    Tuan Nguyen Gia;Mingzhe Jiang;Amir-Mohammad Rahmani;Tomi Westerlund

  • Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems

    Amir-Mohammad Rahmani;Nanda Kumar Thanigaivelan;Tuan Nguyen Gia;Jose Granados

  • Using Ant Colony System to Consolidate VMs for Green Cloud Computing

    Fahimeh Farahnakian;Adnan Ashraf;Tapio Pahikkala;Pasi Liljeberg

  • LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers

    Fahimeh Farahnakian;Pasi Liljeberg;Juha Plosila

  • Internet of things for remote elderly monitoring: a study from user-centered perspective

    Iman Azimi;Amir M. Rahmani;Pasi Liljeberg;Hannu Tenhunen;Hannu Tenhunen

  • Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement Learning

    Fahimeh Farahnakian;Pasi Liljeberg;Juha Plosila

  • Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model

    Fahimeh Farahnakian;Tapio Pahikkala;Pasi Liljeberg;Juha Plosila

  • HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT

    Iman Azimi;Arman Anzanpour;Amir M. Rahmani;Tapio Pahikkala

  • IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform

    Geng Yang;Mingzhe Jiang;Wei Ouyang;Guangchao Ji

  • An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning

    Geng Yang;Jia Deng;Gaoyang Pang;Hao Zhang

  • Energy efficient wearable sensor node for IoT-based fall detection systems

    Tuan Nguyen Gia;Victor Kathan Sarker;Igor Tcarenko;Amir M. Rahmani;Amir M. Rahmani

  • Online Reconfigurable Self-Timed Links for Fault Tolerant NoC

    Teijo Lehtonen;Pasi Liljeberg;Juha Plosila

  • The Internet of Things for basic nursing care-A scoping review.

    Riitta Mieronkoski;Iman Azimi;Amir M. Rahmani;Amir M. Rahmani;Riku Aantaa;Riku Aantaa

  • Low-cost fog-assisted health-care IoT system with energy-efficient sensor nodes

    Tuan Nguyen Gia;Mingzhe Jiang;Victor Kathan Sarker;Amir M. Rahmani

  • On the Feasibility of Attribute-Based Encryption on Internet of Things Devices

    Moreno Ambrosin;Arman Anzanpour;Mauro Conti;Tooska Dargahi

  • IoT-based continuous glucose monitoring system: A feasibility study

    Tuan Nguyen Gia;Mai Ali;Imed Ben Dhaou;Amir M. Rahmani;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 (Preprint)

    Rui Cao;Iman Azimi;Fatemeh Sarhaddi;Hannakaisa Niela-Vilen

  • Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing

    Fahimeh Farahnakian;Tapio Pahikkala;Pasi Liljeberg;Juha Plosila

  • Smart hill climbing for agile dynamic mapping in many-core systems

    Mohammad Fattah;Masoud Daneshtalab;Pasi Liljeberg;Juha Plosila

  • Fog Computing in the Internet of Things

    Amir M. Rahmani;Pasi Liljeberg;Jürgo-Sören Preden;Axel Jantsch

Frequent Co-Authors

Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology
Juha Plosila
Juha Plosila University of Turku
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University
Tomi Westerlund
Tomi Westerlund University of Turku
Nikil Dutt
Nikil Dutt University of California, Irvine
Tapio Pahikkala
Tapio Pahikkala University of Turku
Tapio Salakoski
Tapio Salakoski University of Turku
Pekka Nikander
Pekka Nikander Aalto University
Mauro Conti
Mauro Conti University of Padua

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