M
Mahsa Khalili Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
9 h-index
47 pubs
290 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Mahsa Khalili's research investigates the intersection of human factors, assistive technologies, and emergency medical interventions. Her work includes studies on manual wheelchair and power-assist device propulsion, examining user perceptions of autonomy and the impact of different assistive technologies on independence. Khalili also focuses on biosensor technologies for detecting physiological states, particularly in the context of out-of-hospital cardiac arrest. Her publications explore the recognition of cardiac states using wearable photoplethysmograms and the implications of recognition on survival rates. She has a publication record of 47 articles, with an h-index of 9 and 284 citations. Khalili collaborates with researchers such as Chidambaram Thamaraiselvan, Rohana Liyanage, Cannon Hackett, and Thomas McKean at the University of Arkansas at Fayetteville.
Metrics
- h-index: 9
- Publications: 47
- Citations: 290
Selected Publications
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Synergistic effect of electrocoagulation and antifouling nanofiltration membranes for microcystin removal (2025)
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Synergistic Effect of Electrocoagulation and Antifouling Nanofiltration Membranes for Microcystin Removal (2024)
Collaboration Network
Top Collaborators
Saud Lingawi
University of British Columbia (CA)
11 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
Showing 5 of 11 shared publications
Brian Grunau
University of British Columbia (CA)
10 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
Showing 5 of 10 shared publications
Jim Christenson
University of British Columbia (CA)
10 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
Showing 5 of 10 shared publications
Calvin Kuo
University of British Columbia (CA)
9 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
Showing 5 of 9 shared publications
Babak Shadgan
University of British Columbia (CA)
9 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
Showing 5 of 9 shared publications
H. F. Machiel Van der Loos
University of British Columbia (CA)
8 shared publications
- Perceptions of power-assist devices: interviews with manual wheelchair users
- Perception of autonomy among people who use wheeled mobility assistive devices: Dependence on the type of wheeled assistive technology
- Perception of autonomy among people who use wheeled mobility assistive devices: dependence on environment and contextual factors
- Comparison of Manual Wheelchair and Pushrim-Activated Power-Assisted Wheelchair Propulsion Characteristics during Common Over-Ground Maneuvers
- A Comparison Between Conventional and User-Intention-Based Adaptive Pushrim-Activated Power-Assisted Wheelchairs
Showing 5 of 8 shared publications
Jaimie Borisoff
British Columbia Institute of Technology (CA)
8 shared publications
- Perceptions of power-assist devices: interviews with manual wheelchair users
- Perception of autonomy among people who use wheeled mobility assistive devices: Dependence on the type of wheeled assistive technology
- Perception of autonomy among people who use wheeled mobility assistive devices: dependence on environment and contextual factors
- Comparison of Manual Wheelchair and Pushrim-Activated Power-Assisted Wheelchair Propulsion Characteristics during Common Over-Ground Maneuvers
- A Comparison Between Conventional and User-Intention-Based Adaptive Pushrim-Activated Power-Assisted Wheelchairs
Showing 5 of 8 shared publications
Jacob Hutton
University of British Columbia (CA)
8 shared publications
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection
- The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologies
- Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review
- Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies
- Wearable devices for out‐of‐hospital cardiac arrest: A population survey on the willingness to adhere
Showing 5 of 8 shared publications
Todd Huschka
Mayo Clinic in Arizona (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Sarah J. Parker
Michigan Medicine (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Daniel Cabrera
Mayo Clinic (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Kalyan S. Pasupathy
University of Illinois Chicago (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Prashant Mahajan
University of Michigan (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Fernanda Bellolio
Mayo Clinic (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
Moein Enayati
Mayo Clinic in Florida (US)
5 shared publications
- 119 Investigating Factors Influencing Diagnostic Safety in Emergency Department Patients Using Decision Trees
- Identifying diagnostic errors in the emergency department using trigger-based strategies
- 234 Identification of Diagnostic Errors in the Emergency Department Using Data-Driven Strategies
- 120 Mining Electronic Health Records to Identify Key Factors Influencing Diagnostic Errors in the Emergency Department
- Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency Department
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