User profiles for M. S. Mirian
Maryam S. MirianMachine 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 …
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
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 …
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 …
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
Sleep disturbances are common in Alzheimer’s disease and other neurodegenerative
disorders, and together represent a potential therapeutic target for disease modification. A major …
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
Parkinson’s disease (PD) is characterized by abnormal brain oscillations that can change
rapidly. Tracking neural alternations with high temporal resolution electrophysiological …
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
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 …
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 …
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
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, …
With disease progression, people may experience motor and non-motor fluctuations, …
Associative learning from replayed experience
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 …
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
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 …
detecting novel sleep patterns beyond standard sleep stages in the EEG, as may be seen in …