One out of every 130 dogs is affected by epilepsy. Their seizures are often distressing, and it can be difficult to track them all — especially while the owner is asleep or away. To give owners more information and better control over their dog’s treatment, OSU-Cascades computer science alumna Marji Symonds, ’21, developed a health monitoring device that attaches to a dog’s harness.
Symonds discovered just how difficult it can be to witness seizures while trying to provide protection and comfort for her friend’s pug, Sophie. Sophie’s seizures were often caused by overstimulation, excitement, overexertion and excessive heat, while others appeared to be random. Sophie had a very strict medication regimen and had to be restrained during episodes to avoid injury. Symonds was determined to find a better solution for dogs like Sophie. With the smart dog harness, she has.
The device, which Symonds calls a smart dog harness, connects over Wi-Fi and sends data to cloud storage. It collects data from an accelerometer and gyroscope sensor to measure a dog’s movement and orientation. Through machine learning, the device differentiates between activities like sleeping, walking, running, a car ride and a seizure. The movement data of a seizure is so unique that it is rarely confused with any other activity. When a seizure is detected, the device sends an alert to the owner’s phone.
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