2020 Biomedical Engineering Capstone Design Projects

MEETME - SUPPORTING PERSONALIZED CARE FOR OLDER ADULTS WITH DEMENTIA

Older adults, especially those with dementia, experience frequent transfers of care, so it is difficult for them to receive personalized care founded on personal connections with caregivers. MeetMe is a website designed to empower older adults to securely share important personality information with transient caregivers to foster a mutual understanding and support better care. MeetMe’s research-backed design process has included several phases of quantitatively analyzing structured feedback gathered directly from older adults at Schlegel Villages to ensure that our prototype meets their needs. 

Team members: Tynan Sears, Mackenzie Wilson, Mikaela MacMahon

CONSTANTIAM

Constantiam is a feedback system that determines the efficiency and safety of exercise technique through the measurement and analysis of weight distribution. Consisting of force sensitive insoles, a data acquisition module, and mobile application, Constantiam provides a user with feedback on their lower body exercise characteristics such as the centre of pressure, symmetry index, and traits of poor form. Constantiam reduces the risk of exercise-related injury, alerts a user of fatigue, and determines ideal weight amounts for lifting.

Team members: Laura Ing, Olivia Lougheed, Karly Smith, and Melissa Rinch

HEARTAGAIN

Organ transplantation can significantly extend the life of a pediatric patient. However, the latest advances in support systems for donor hearts fail to accommodate pediatric sizes. HeartAgain aims to bridge this gap by providing state-of-the-art support to hearts ranging from neonate to adult. The system employs normothermic perfusion, a process of supplying an organ with warm oxygenated blood, to transport the heart in a beating state. Integrated biometric monitoring allows otherwise unpredictable transplants by providing real-time insight into heart viability.

Team members: Melissa Yu, Kelsea Tomaino, Cassandra Maxwell, Daphne Walford

MONETA

Moneta is a cross-platform application that enables tracking and analysis of behavioural and psychological symptoms of dementia in long-term care homes. It reduces the cognitive workload of personal support workers by streamlining the behaviour observation process. Using Moneta, trends and correlations in behavioural patterns can be quantitatively assessed through entered data. This helps healthcare professionals design interventions to avoid triggers of responsive symptoms, such as removing residents from noisy environments. The overall aim is to improve the wellbeing of individuals with dementia through non-invasive treatments.

Team members: Presish Bhattachan, Ying Quan (Amy) Qiu, Emily Kuang, Stanislava (Stacey)Ilioukhina

PHONOLOGIX

Children with developmental speech disorders require face-to-face sessions with speech-language pathologists. However, the long wait times for in-person consultation partnered with the lack of adherence to at-home prescribed speech exercises remain considerable pain points in the field of speech therapy. Phonologix is a mobile application that aims to help young patients with developmental functional speech disorders. Its goal is to increase compliance with clinician prescribed at-home speech exercises, monitor patient speech development, and deliver personalized feedback to facilitate the speech therapy process.

Team members: Isaac Chang, Felix Kurniawan, Ryan Yi Li, Francis Rhee

BURNAWARE: ASSISTIVE DEVICE FOR CUTANEOUS LOSS OF SENSATION FROM DEEP BURN INJURIES

Individuals with deep burn injuries can experience a cutaneous loss of sensation in their hands, leading to potential exposure to harmful stimuli in their environment. BurnAware is an assistive device comprised of a wearable glove and a body-mounted alert mechanism. The glove detects tactile and temperature sensations and necessitates real-time vibratory responses upon proximal contact to noxious stimuli.

Team members: Namrata Sharma, Zhilling Zou, Christina Jean, Pavneet Singh Kapoor.

PILLPALS

PillPals is a mobile application targeted to improve medication adherence in a young adult population through promoting self-efficacy in health outcomes. For a patient to be considered completely adherent to a prescription, they must take each dose precisely as prescribed and on time. The less adherent a patient is, the more likely it is that their treatment fails or is ineffective. PillPals utilizes an alarm system packaged with educational and analytical features to promote self-efficacy, and a graded reward system to keep patients engaged.

Team members: Christiaan Oostenbrug; Lucas Van de Mosselaer; William Harvey; Nicolas Iuorio

PERCEPTUS

Retinal cameras are commonly used to diagnose and monitor sight-threatening diseases. In remote and resource constrained areas, clinical grade retinal cameras are often inaccessible which can lead to preventable blindness. Although there are some commercially available portable retinal cameras, they are often expensive or capture low quality images which are not suitable for clinical use. Perceptus aims to design a low cost, portable, smartphone based retinal camera that improves upon the quality of images obtained by existing devices.

Team members: Allison Cole, Angela Lin, Alexander MacLean, Nicole Barritt, Laurel Pilon

FULLCYCLE

Ugandan midwives and nurses working in low-resource maternity wards must currently clean their surgical instruments by a manual and laborious process. Proper compliance with this process is not achieved since limited staff must always prioritize tending to a high number of patients, leading to instrument rust damage and disuse. In partnership with FullSoul, a Canadian non-profit organization equipping these wards with standardized instrument kits, MediClean has developed FullCycle. We present a simplified and integratable solution to automate the cleaning and decontamination process.

Team members: Charly Phillips, Connor Huxman, Maria Valencia, Robyn Klassen, Sam Feng

HAPTYC LABS

Developmental Dysplasia of the Hip (DDH) is infant hip instability caused by the abnormal formation of the femoral head and acetabulum. Dislocations are very subtle for detection, and with a lack of physician training, Haptyc Labs is developing a simulator to replicate a real infant's hip to portray different DDH severities. The ultimate goal of this project is to provide physicians this physical simulator as a training module for DDH diagnosis.

Team members: Alyson Colpitts, Mariam Osman, Jan Lau, Areeb Hafiz, Noah Kunej

PHYSIOFIT (GENE)

Up to 70% of patients who undergo physiotherapy programs are non-compliant to at-home exercises. Our project aims to improve compliance to knee osteoarthritis (OA) physiotherapy through the use of IMU-based wearable units integrated with a mobile app. The solution will measure the user's exercise accuracy for certain knee OA exercises (knee flexion/extension, hip abduction/adduction, & squatting) and provide results over the course of the whole physiotherapy treatment.

Team members: Maninder Matharoo, Tilak Gupta, Emad Ahmed, Ilir Lazoja, Arjun Gupta