Pasi Liljeberg

Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection (2021)

International Conference on Ambient Systems, Networks and Technologies, Procedia Computer Science

Mahmoudzadeh Aysan, Azimi Iman, Rahmani Amir M., Liljeberg Pasi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

UBAR: User- and Battery-aware Resource Management for Smartphones (2021)

ACM Transactions in Embedded Computing Systems

Shamsa Elham, Pröbstl Alma, TaheriNejad Nima, Kanduri Anil, Chakraborty Samarjit, Rahmani Amir M., Liljeberg Pasi

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices (2021)

IEEE Nordic Circuits and Systems Conference

Taufique Zain, Kanduri Anil, Bin Altaf Muhammad Awais, Liljeberg Pasi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems (2021)

Asia and South Pacific Design Automation Conference, Proceedings of the Asia and South Pacific Design Automation Conference

Shamsa Elham, Kanduri Anil, Rahmani Amir M., Liljeberg Pasi

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation (2021)

Sensors

Sarhaddi Fatemeh, Azimi Iman, Labbaf Sina, Niela-Vilén Hannakaisa, Dutt Nikil, Axelin Anna, Liljeberg Pasi, Rahmani Amir M

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study (2021)

Journal of Medical Internet Research

Naeini Emad Kasaeyan, Subramanian Ajan, Calderon Michael-David, Zheng Kai, Dutt Nikil, Liljeberg Pasi, Salanterä Sanna, Nelson Ariana M, Rahmani Amir M

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Pain assessment tool with electrodermal activity for postoperative patients: Method validation study (2021)

JMIR mHealth and uHealth

Aqajari Seyed Amir Hossein, Cao Rui, Kasaeyan Naeini Emad, Calderon Michael-David, Zheng Kai, Dutt Nikil, Liljeberg Pasi, Salanterä Sanna, Nelson Ariana M, Rahmani Amir M

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Exploring computation offloading in IoT systems (2021)

Information Systems

Shahhosseini Sina, Anzanpour Arman, Azimi Iman, Labbaf Sina, Seo DongJoo, Lim Sung-Soo, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Optimizing Energy Efficiency of Wearable Sensors Using Fog‐assisted Control (2020)

Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, Marco Levorato

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

Robust ECG R-peak detection using LSTM (2020)

ACM Symposium on Applied Computing

Laitala J., Jiang M., Syrjälä E., Naeini E.K., Airola A., Rahmani A.M., Dutt N.D., Liljeberg P.

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

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Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection (2021)

UBAR: User- and Battery-aware Resource Management for Smartphones (2021)

Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices (2021)

Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems (2021)

Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation (2021)

Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study (2021)

Pain assessment tool with electrodermal activity for postoperative patients: Method validation study (2021)

Exploring computation offloading in IoT systems (2021)

Optimizing Energy Efficiency of Wearable Sensors Using Fog‐assisted Control (2020)

Robust ECG R-peak detection using LSTM (2020)