Proving the Business Case for the Internet of Things

Wearable could predict and prevent asthma attacks

Steve Rogerson
June 14, 2016

Researchers have developed an integrated, wearable that monitors a user’s environment, heart rate and other physical attributes with the goal of predicting and preventing asthma attacks. The researchers plan to begin testing the system on a larger subject population this summer.
The system, called the Health & Environmental Tracker (HET), is composed of a suite of sensor devices and was developed by researchers from the National Science Foundation’s Nanosystems Engineering Research Center for Advanced Self-Powered Systems of Integrated Sensors & Technologies (Assist) at North Carolina State University.
According to the Centers for Disease Control & Prevention, asthma affects more than 24 million people in the USA. Asthma patients currently rely on inhalers to deal with their symptoms, which can include often-debilitating asthma attacks.
“Our goal was to design a wearable system that could track the wellness of the subjects and in particular provide the infrastructure to predict asthma attacks, so that the users could take steps to prevent them by changing their activities or environment,” said Alper Bozkurt, the principal investigator of a paper describing the work and an assistant professor of electrical and computer engineering at NC State.
“Preventing an attack could be as simple as going indoors or taking a break from an exercise routine,” added James Dieffenderfer, lead author of the paper and a PhD student in the joint biomedical engineering programme at NC State and the University of North Carolina at Chapel Hill.
The HET system incorporates a host of sensing devices, which are incorporated into a wristband and a patch that adheres to the chest. The patch includes sensors that track a patient’s movement, heart rate, respiratory rate, the amount of oxygen in the blood, skin impedance and wheezing in the lungs.
The wristband focuses largely on environmental factors, monitoring volatile organic compounds and ozone in the air, as well as ambient humidity and temperature. The wristband also includes additional sensors to monitor motion, heart rate and the amount of oxygen in the blood.
The system also has one nonwearable component: a spirometer, which patients breathe into several times a day to measure lung function.
“Right now, people with asthma are asked to use a peak flow meter to measure lung function on a day-to-day basis,” Dieffenderfer said. “That information is used to inform the dosage of prescription drugs used in their inhalers. For HET, we developed a customised self-powered spirometer, which collects more accurate information on lung function and feeds that data into the system.”
Data from all of these sensors are transmitted wirelessly to a computer, where custom software collects and records them.
“The uniqueness of this work is not simply the integration of various sensors in wearable form factors,” said Veena Misra, co-author of the paper and a professor of electrical and computer engineering at NC State. “The impact here is that we have been able to demonstrate power consumption levels that are in the sub-milliwatt levels by using nano-enabled novel sensor technologies. Comparable, existing devices have power consumption levels in the hundreds of milliwatts.”
She said the ultra-low power consumption was important because it gave the devices a long battery life, and would make them compatible with the power generated by the body – which is not a lot. Misra is also the director of the Assist Center and said this development enabled a pathway to realise the Assist Center’s vision of wearable sensors powered by energy from the body in the near future.
“We have tested the system in the benchtop and on a limited number of human subjects for proof of concept demonstration and have confirmed that all of the sensors work, and that the system accurately compiles the data,” Misra said. “This summer, we plan to begin testing HET in a controlled environment with subjects suffering from asthma and a control group, in order to identify which environmental and physiological variables are effective at predicting asthma attacks.”
Bozkurt added: “Once we have that data, the centre can begin developing software that will track user data automatically and give users advance warning of asthma attacks.” Bozkurt is testbed leader of the Assist Center and is overseeing HET system integration.
“That software will allow users to synch the HET to their smartphones so they can monitor their health on the go,” he said. “After these tests are completed, and the prediction software created, we are hoping that a fully functional HET system will be available.”
The paper was published in the IEEE Journal of Biomedical & Health Informatics. It was co-authored by Henry Goodell and Brinnae Bent of the joint biomedical engineering programme; Steven Mills, Michael McKnight, Shanshan Yao, Feiyan Lin, Eric Beppler, Bongmook Lee, Veena Misra, Yong Zhu, Omer Oralkan, Jason Strohmaier, John Muth and Alper Bozkurt of NC State; and David Peden of UNC-CH.
The work was done through the Assist Center at NC State under an NSF grant. The work was also supported by the National Institute of Environmental Health Sciences and the Environmental Protection Agency.