A new mobile app developed by University of British Columbia (UBC) researchers can measure respiratory rate in children roughly six times faster than the standard manual method.
According to findings recently published in PLOS One, “RRate” can reliably measure respiratory rate in an average of 9.9 seconds. Currently, health care workers typically measure respiratory rate by counting a patient’s breaths for 60 seconds using a stopwatch.
“Mobile phones are changing how we administer health care, especially in rural settings and developing countries where access to medical devices is limited,” said Dr. Walter Karlen, who co-led the study with Dr. Heng Gan. “With this app, we can give health care workers with few resources faster and more accurate measurements, help them make better decisions, and give them more time with their patients.”
“This simple, but innovative piece of technology is a big step towards better diagnoses for children with pneumonia and other respiratory illnesses,” added Gan.
Researchers say this is a big step towards better diagnoses of pneumonia and other illnesses. Pneumonia is the leading cause of death of children worldwide, according to the World Health Organization. With timely and accurate diagnosis, children with pneumonia can often be saved with simple interventions such as antibiotics.
RRate allows workers to measure respiratory rate by tapping the touch screen every time the child inhales. In addition to calculating the rate of inhalations during a given time, the app also provides an animation of a breathing baby allowing for a direct comparison with the breathing patient. A free, non-study version of the app is available online.
The next stage of this research is to further improve the diagnosis of pneumonia in low-resources settings by combining this app with the Phone Oximeter. Developed by CFRI and UBC researchers, the Phone Oximeter provides non-invasive measurements of blood oxygen levels using a light sensor and a mobile phone.
Researchers collected data from 30 subjects who used the app while watching videos of children breathing at different rates. Using these findings, they developed an algorithm that enabled the app to produce accurate measurements in the least amount of time.