User profiles for M. S. Mirian

Maryam S. Mirian

Machine Learning Research Scientist, Pacific Parkinson's Research Centre, DMCBH, UBC
Verified email at ubc.ca
Cited by 630

[HTML][HTML] Phytochemical classification of medicinal plants used in the treatment of kidney disease based on traditional persian medicine

F Rabizadeh, MS Mirian, R Doosti… - Evidence-Based …, 2022 - hindawi.com
… Alexieva, “GC-MS chemical composition of volatile oil and mineral element content of …
leaf extract: GC-MS metabolic profiling and evaluation of cytotoxicity and apoptosis inducing …

A multi-agent based energy management solution for integrated buildings and microgrid system

A Anvari-Moghaddam, A Rahimi-Kian, MS Mirian… - Applied energy, 2017 - Elsevier
In this paper, an ontology-driven multi-agent based energy management system (EMS) is
proposed for monitoring and optimal control of an integrated homes/buildings and microgrid …

[HTML][HTML] Artificial intelligence-based video monitoring of movement disorders in the elderly: a review on current and future landscapes

KW Park, MS Mirian, MJ McKeown - Singapore Medical Journal, 2024 - journals.lww.com
Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson’s
disease and essential tremor) is rapidly increasing. Current diagnosis and monitoring of …

[HTML][HTML] A deep learning strategy for automatic sleep staging based on two-channel EEG headband data

…, MA Muszynski, D Zhou, A Kazemi, MS Mirian… - Sensors, 2021 - mdpi.com
Sleep disturbances are common in Alzheimer’s disease and other neurodegenerative
disorders, and together represent a potential therapeutic target for disease modification. A major …

[HTML][HTML] Deep transfer learning for parkinson's disease monitoring by image-based representation of resting-state EEG using directional connectivity

E Arasteh, A Mahdizadeh, MS Mirian, S Lee… - Algorithms, 2021 - mdpi.com
Parkinson’s disease (PD) is characterized by abnormal brain oscillations that can change
rapidly. Tracking neural alternations with high temporal resolution electrophysiological …

[HTML][HTML] Investigating the efficacy and importance of mobile-based assessments for Parkinson's disease: uncovering the potential of novel digital tests

Y Zhang, Z Zeng, MS Mirian, K Yen, KW Park, M Doo… - Scientific Reports, 2024 - nature.com
This study introduces PDMotion, a mobile application comprising 11 digital tests, including
those adapted from the MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part …

Expert finding by the Dempster‐Shafer theory for evidence combination

N Torkzadeh Mahani, M Dehghani, MS Mirian… - Expert …, 2018 - Wiley Online Library
Mirian has received her MSc and PhD degrees from University of Tehran in machine learning
and robotics in 2003 and 2010. She was formerly an assistant professor at University of …

[HTML][HTML] An Individualized Multi-Modal Approach for Detection of Medication “Off” Episodes in Parkinson's Disease via Wearable Sensors

E Arasteh, MS Mirian, WD Verchere, P Surathi… - Journal of Personalized …, 2023 - mdpi.com
The primary treatment for Parkinson’s disease (PD) is supplementation of levodopa (L-dopa).
With disease progression, people may experience motor and non-motor fluctuations, …

Associative learning from replayed experience

EA Ludvig, MS Mirian, EJ Kehoe, RS Sutton - bioRxiv, 2017 - biorxiv.org
We develop an extension of the Rescorla-Wagner model of associative learning. In addition
to learning from the current trial, the new model supposes that animals store and replay …

Sleep staging using semi-unsupervised clustering of EEG: Application to REM sleep behavior disorder

A Kazemi, MJ McKeown, MS Mirian - Biomedical Signal Processing and …, 2022 - Elsevier
Objective To develop a semi-unsupervised automatic sleep staging method capable of
detecting novel sleep patterns beyond standard sleep stages in the EEG, as may be seen in …