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SMART Talks
SMART Talks is a live event, open to the public as a way of connecting and showcasing the vast range of research taking place within The Network.
Intro to Technology Commercialization at The University of Alberta with Medical & Health Focus
April 8, 2022
Presented by: Dr. Michael Lipsett
Many technological innovations never get off campus into society to make a positive impact. There are many opportunities for medical and health technologies to move to clinical use and even being commercialized. This talk describes the challenges to bring technologies to market, efforts at UAlberta to foster improved paths to commercial implementation outside of the Health Accelerator program and ST Innovations, and some resources that may help.
Employing Interdisciplinary Approaches to Improving Human Comfort: Application to clothing and transfemoral prosthesis
March 11, 2022
Presented by: Mostafa Mohamed (lead researcher: Dr. Lindsey Westover) and Farzan Gholamreza (lead researcher: Dr. Patricia Dolez).
Employing Interdisciplinary Approaches to Improving Human Comfort: Application to clothing discusses the details on how technological advancement and interdisciplinary approaches can be used to improve users’ comfort and experience in different applications such as clothing and transfemoral prosthesis.
Program to Accelerate Technologies for Homecare—Bringing Remote Monitoring into the Mainstream
February 11, 2022
Presented by: Dr. Andrew Chan (lead researcher: Dr. Michael Lipsett),
Program to Accelerate Technologies for Homecare gives an overview of how smart home technologies and wearables have the ability to transform management of health conditions. However, their uptake has been limited by a fragmented consumer ecosystem and the challenge of generating clinical evidence for their effectiveness. As a member of the newly formed PATH program (Program to Accelerate Technologies for Homecare), we aim to demonstrate the role of remote monitoring for health.
Methods of Neuromodulation
January 14, 2022
Presented by: Adam Ostashek (lead researcher: Dr. Dan Sameoto) and Carly O'Sullivan (lead researcher: Dr. Vivian Mushahwar)
Overview of developments, methods, and challenges in producing stretchable devices using modified consumer-grade 3D printers for sensors and dynamic electrical systems. The also do a comparison of two methods of spinal cord stimulation for the eventual purpose of being used to restore locomotion following spinal cord injury.
Time Series Analysis in Medicine Using Deep Learning
December 10, 2021
Presented by: Abed Soleymani (lead researcher: Dr. Mahdi Tavakoli) and Mohsen Soltanpour (lead researchers: Dr. Pierre Boulanger and Dr. Russ Greiner),
Time Series Analysis in Medicine Using Deep Learning uncovers deep learning techniques that identify strokes at the earliest stages, and how data coming from a surgical robot platform can assess and evaluate the skill level of the surgeon.
Promoting successful transitions in care for people with spinal cord injuries living in rural areas
November 12, 2021
Presented by: Dr. Loyola Sanchez and Physiotherapist, Rija Kamran (MSc.)
Overview of the esults from a qualitative study conducted as part of the CONnecting and Coordinating an Enhanced Network for TRansitions In Care (CONCENTRIC) study to explain how can transitions for people with SCI to rural areas of Alberta can be improved. They will also demonstrate the value of qualitative research for Rehabilitation Sciences.
User-centred design and assistive technology for access to play
Date: October 8, 2021
Presented by: Dr. Kim Adams
User-centred design techniques in creating and implementing assistive technology to accomplish patient-driven goals. It covers access technologies from manual to brain control interfaces and output devices from computers to robots.
Towards Patient-Specific Treatment: Medical applications of machine learning
Date: September 10, 2021
Presented by: Dr. Russ Greiner
An effective patient-specific treatment model identifies which treatment has the best chance of success for each individual patient, based on all available information about that patient. Here, we consider the task of learning such models—in general, a learned combination of many features that collectively predict the outcome— from a labeled dataset describing earlier patients, and their outcomes. Dr. Greiner introduces the relevant ideas using real-world medical examples, and explains how this machine-learning approach differs from the task of finding individual biomarkers.
The Rise in Remote Healthcare: Understanding the potential for jaw rehabilitation and shoulder assessments
August 13, 2021
Presented by: Kaelen Findlay (lead researcher: Dr. Martin Ferguson-Pell) and Pradipika Natamati Vasuvedan (lead researcher: Dr. Patricia Dolez).
Human Computer Interaction: What movements during computer-based assessments can tell us about human cognition and performance
July 9, 2021
Presented by: Alexandra Ouellette-Zuk (lead researcher: Dr. Craig Chapman) and Thea Wang (lead researcher: Dr. Pierre Boulanger).
Human Computer Interaction explores the use of virtual reality with proxy haptic in open surgical skills training and the translation of computerized reach-tracking assessment to portable devices for the study of human decision making.
The Wide World of Wireless Wearables: quantifying key metrics in athletic performance and spasticity diagnosis
May 14, 2021
Presented by: Aminreza Khandan and Khilesh Jairamdas
Making VR artworks with medical scan data
2019-20 Innovation Fund recipients pitch their research
December 18, 2020
Presented by: Jennifer Bertrand, Ramin Fathian, Nasim Hajari, Bernal Manzanilla, Matheus Mussi, Mojtaba Sharifi, Ahmed Shehata, and AÏda Valevicius, pitch their projects funded by SMART Network’s Innovation Fund.