Your go-to source for new
ideas and inspiration
iPhone App Diagnoses Disease Through Sound

iPhone App Diagnoses Disease Through Sound

By Dan Gould on March 25, 2010

A new iPhone app by Star Analytical Services promises to let users become their own DIY doctors.

The software is designed to diagnose respiratory disease using the sound of a cough. It works by simply coughing into the microphone of an iPhone, and the sound is compared against a database of coughs which indicate various maladies.

Healthcare workers are already trained to diagnose and differentiate between problems such as pneumonia and the common cold by sound, so this app is a logical next step.

Next Nature reports:

Doctors generally classify coughs as wet or dry, with a subcategory of productive or nonproductive, a reference to the presence or production of mucous in the lungs. Most health care professionals can distinguish between the two kinds, and each kind gives subtle hints about whether a person has a bacterial or viral infection. Scientists think there is much more information hidden in coughs though, and are trying to tease out that information by analyzing specific sounds inside coughs.

“We are relying on doctors and nurses with good old technology from the 19th century,” Suzanne Smith of Star tells Discovery News. “Why haven’t we been measuring coughs?”

The software would compare one recording to a database of cough samples that contain the sounds of all known respiratory diseases from people of both genders, and various ages and weights. The researchers anticipate needing about 1,000 recordings for the software to be truly effective.

[Next Nature via Bruce Sterling]

Dan Gould

Recent Articles By Dan Gould Follow Dan Gould via RSS

Dan is an information omnivore, autodidact and creative generalist who has written for publications including the Huffington Post, Jaunted and Time/CNN. Dan has also provided commentary on trends for media outlets such as Wired and Parade magazine.

Comments

TOPICS: Electronics & Gadgets, Health & Wellness
TAGS: