University of Manitoba Researchers Innovate Rapid Sleep Apnea Diagnosis Method
U of M researchers working on faster approach to diagnosing sleep apnea

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Researchers at the University of Manitoba are developing a quick and simple method for diagnosing sleep apnea using acoustic sound analysis. This innovative approach could significantly reduce the time needed for diagnosis and treatment, benefiting many affected individuals.
- 01The new diagnostic method uses a small speaker in the mouth and a contact microphone on the throat to analyze airway sounds.
- 02Current sleep apnea diagnosis methods are time-consuming and require specialized sleep labs.
- 03Sleep apnea can lead to serious health risks, including accidents due to disrupted sleep.
- 04Factors contributing to sleep apnea include aging, muscle atrophy, and smoking.
- 05The project is still in the research phase, with hopes to eventually market the device for use by healthcare professionals.
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A research team at the University of Manitoba is pioneering a faster and simpler method for diagnosing sleep apnea, a condition where the airway narrows or shuts off during sleep. The innovative approach utilizes acoustic sound analysis to map the airway, allowing for diagnosis in just a few minutes. This method involves a small speaker placed in the mouth and a contact microphone on the throat. Professor Zahra Moussavi, part of the research team, emphasized that current diagnostic procedures are lengthy and often require specialized sleep labs, making timely treatment difficult. Recent PhD graduate Walid Ashraf highlighted the risks associated with sleep apnea, which can disrupt sleep and lead to accidents. While snoring is commonly associated with the disorder, Ashraf noted it is not the sole indicator. Moussavi pointed out that aging, muscle atrophy, and smoking are significant factors contributing to sleep apnea. Although the project is still in its research phase, the team aims to develop a device that can be used by nurses and family physicians to enhance accessibility to diagnosis and treatment.
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The new diagnostic method could significantly reduce the waiting time for sleep apnea diagnosis and treatment in the local healthcare system.
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