Cardia
Owen Clayton, Jarett Dewbury, Qais Khan, Rebecca Lai
Many patients with potential heart problems are prescribed a continuous Holter monitor to record electrical heart activity in daily life. However, to obtain context for these signals, patients must keep physical journals to track symptoms and activity. The process is inconvenient, and often logs are left incomplete or inaccurate, limiting the clinical value of the data. We propose a discreet, multimodal Holter device that will reduce the need for manual journaling while automatically capturing contextual activity data, ensuring more reliable and interpretable information for physicians.
LARS - Load Assistance for Reduced-Strain Sonography
Luke Coulter, Alexa Daly, Rylin Soto, Serena Wittenberg
Workplace-related pain is extremely prevalent amongst cardiac sonographers and is primarily caused by the high contact force against patients, exacerbated by long scans or large patients. Current market solutions either fail to target the root cause of the pain or aim to completely change or remove the sonographer’s role during an ultrasound scan. We designed a semi-robotic arm to be used with existing ultrasound equipment that helps to address cardiac sonographer pain by applying assistive force into the patient without affecting workflow.
Spiiro
Wilson Chan, Andrew Fata, Andrew Gocheco, Agam Soni
Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death worldwide and affects over 2 million Canadians. Rural patients face the highest risks and often travel hours for infrequent checkups. Spiiro bridges this gap with an at-home system that uses AI to analyze testing techniques and provide feedback on user errors. By generating clinically meaningful metrics in an accessible language, Spiiro supports patients and provides healthcare providers with the insights needed for timely, life-saving clinical decision-making.
