The National Institute of Environmental Health Sciences has awarded a $2.46 million grant to Emory University and Georgia Institute of Technology researchers to develop a multi-sensor biopatch for farmworkers that can predict symptoms of heat-related illness, dehydration, and acute kidney injury.

The four-year grant will allow the team to develop a wearable wireless unit for farmworkers with sensors that can integrate key physiological signals, predict adverse heat-related medical events, and generate warnings about them in real time.

The findings of the project will lead to an intervention study in which data are sent from the biopatch to an Android device. The team will develop artificial intelligence (AI) tools for predicting study outcomes. In future research, the team envisions that data sent to the Android from the biopatch will be processed with these tools. After processing, warnings may be sent to workers from the Android device as necessary, which will help determine if the technology can reduce morbidity associated with occupational heat exposure.

Escalating trends of increasing environmental temperatures place marginalized populations with few workplace protections such as agricultural workers, who have routine occupational exposure to hot, humid environments, at increased risk for the acute health effects of heat exposure, says Vicki Hertzberg, a principal investigator on the project and a professor at the Emory University Nell Hodgson Woodruff School of Nursing.

“Heat-related illness and dehydration are particularly insidious as they can quickly progress from moderate discomfort to confusion and impaired judgment, thereby diminishing the affected worker’s ability to seek necessary medical attention,” she says. “A hand-held device with clear information about heat illness will help farmworkers know when to seek help.”

Joining Hertzberg as principal investigators on the grant are W. Hong Yeo, a Woodruff Faculty Fellow and associate professor in mechanical and biomedical engineering at Georgia Tech, and Li Xiong, a Samuel Candler Dobbs professor in the Emory Department of Computer Science. Xiong will lead the development of prediction models associated with the research, and Yeo will lead the development of the biopatch.

“We know that once we can get continuous physiological data in real time, then we can prevent this problem,” says Yeo, director of the Georgia Tech IEN Center for Human-Centric Interfaces and Engineering. “Currently, it’s very hard to measure real-time events, because of the limitations of existing sensor or device technology.”

Conventional wearable devices tend to be rigid, heavy, and bulky – not useful for workers who spend a lot of time moving around.

“All of that motion means we’re losing data, so we’re creating a reliable solution,” says Yeo, whose Bio-Interfaced Translational Nanoengineering Grouphas specialized in the development of soft wearable health monitors that use stretchable electronics.

“Once we have these continuous data, then the challenge is how to fuse these multimodal data in real time and make reliable predictions for interventions,” says Xiong, “I’m looking forward to working with the team to develop the AI tools and test them in the field.”

Emory School of Nursing assistant professor Roxana Chicas will lead the field team assessing the use of the biopatch on outdoor workers, and Jeff Sands, professor in the Emory Department of Medicine and director of the Emory University Division of Renal Medicine, will provide renal expertise. Completing the team is Nezahualcoyotl Xiuhtecutli, executive director of the Farmworker Association of Florida. The association and the School of Nursing have had a strong partnership in community-based research among Florida farmworkers. Much of the data generated from this partnership has also gone to creating educational material for farmworkers relating to their health and safety as well as their rights in their workplace.

Research reported in this grant is supported by the National Institute of Environmental Health Sciences of the National Institutes of Health under Award Number R01ES033241. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.