Gurnoor Kaur, a 17-year-old student of Punjabi origin residing in Canada, has developed a mathematical correction to eliminate racial bias in pulse oximeters.
Her innovation ensures accurate oxygen level readings for all skin tones, earning her the 'Best Project Award for Innovation' at Canada's largest national science fair.
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Gurnoor Kaur, a 17-year-old student of Punjabi origin living in Canada, has successfully addressed a 53-year-old flaw in pulse oximeters that caused inaccuracies in oxygen level readings based on skin tone. Traditional pulse oximeters often provided accurate readings for lighter skin tones but showed errors for darker skin tones due to the scattering effect of melanin on light. Gurnoor identified this issue during her research and developed a new mathematical formula to correct the bias.
Her innovation, named 'EigenPulse,' introduces a correction factor that adjusts for light scattering caused by melanin in darker skin tones. This ensures that pulse oximeters provide accurate oxygen level readings regardless of skin color. The breakthrough is expected to improve medical care by providing precise data for timely treatment, potentially reducing mortality rates linked to incorrect readings.
Gurnoor's project was recognized at the 64th Canada-Wide Science Fair held in Edmonton, Alberta, where she competed against 390 students presenting 344 projects. Her work earned her the prestigious 'Best Project Award for Innovation,' highlighting her contribution to medical technology. The event featured a panel of over 250 experts, including scientists, professors, and doctors, who evaluated the projects.
This achievement underscores the potential of young innovators to address critical global challenges. Gurnoor's work not only resolves a longstanding issue but also sets a benchmark for equitable healthcare technology.