Ali Javey is a Professor in Electrical Engineering and Computer Science. He received a Ph.D. degree in chemistry from Stanford University in 2005, and was a Junior Fellow of the Harvard Society of Fellows from 2005 to 2006. He then joined the faculty of the University of California at Berkeley where he is currently a professor of Electrical Engineering and Computer Sciences. He is also a faculty scientist at the Lawrence Berkeley National Laboratory where he serves as the program leader of Electronic Materials (E-Mat). He is an associate editor of ACS Nano. He is the co-director of Berkeley Sensor and Actuator Center (BSAC), and Bay Area PV Consortium (BAPVC).
Spark Award Project
Wearable Sweat Sensors: Instantaneous Health Monitoring
Wearable sensor technologies play a significant role in realizing personalized medicine. Sweat contains metabolites that indicate physiological information and is an excellent candidate for non-invasive, continuous monitoring of health status. Our flexible sensors and integrated circuits bridge the technology gap in wearable sensors, enabling a wide range of personalized real-time diagnostics.
Ali Javey’s Story
Physiological Changes Tracked Moment to Moment
February 7, 2017
By: Wallace Ravven
Sweating it out on a treadmill, or racing to finish a half marathon, a runner might risk a potentially dangerous buildup of electrolytes in her blood.
In theory a “sweat sensor” could monitor electrolyte levels in real time or track diabetes risk by measuring quick spikes in blood sugar levels. Such a device could find wide use, and make an impact in the marketplace.
Current tests monitor these telltale signs only periodically, missing short-term fluctuations or suddenly spiking concentrations.
But in a Cory Hall lab that’s been converted into a high tech mini-fitness center, researchers can now trace these metabolic changes second by second in a substance any good work out produces: sweat.
Ali Javey, a materials scientist and professor of electrical engineering and computer sciences, has combined innovative materials, sensor technology and integrated circuits to develop a wearable sweat sensor network that can measure rapid fluctuations in electrolytes and metabolites, and even the buildup of heavy metal concentrations in perspiration.
Prototype sweat sensors are printed on thin plastics and are embedded in headbands or wristbands to monitor concentration levels of these metabolic markers in real-time.
The lightweight sensor network tracks half a dozen chemical markers in sweat as volunteers toil on a bike in his lab. The sensors within the film are connected to a flexible electronic board with silicon Integrated Circuits. The circuit board converts the voltage and current measures of the sensors to a readout of electrolyte or metabolite concentration.
As they huff and puff, runners can monitor spikes or dips in their electrolytes, metabolites and skin temperature on a smart phone or other mobile device via Bluetooth. The readouts can also be transmitted wirelessly to other sites for more detailed analysis.
Supported by the 2016-17 Bakar Fellows Program, Javey is refining the sensor fabrication process to make it more commercially practical for fitness training, athletics, health diagnostics and even large-scale population studies.
At the same time, he is collaborating with exercise physiologists and medical researchers to determine how reliably the changes measured by the sensors “map” with workout intensity and certain measures of health status.
“About half of the California adult population is pre-diabetic,” Javey says. “It is an alarming condition that leads to diabetes if your eating and living habits don’t change. But most people don’t know they have the condition. And many of us hate going to the doctor — and hate blood draws to determine blood glucose levels.”
Preliminary research suggests that sweat may be a reliable reservoir to draw on for moment-to-moment glucose measures, Javey says. Sweat sensors could provide the first non-invasive and inexpensive home test. In addition, the sensors could potentially be used to detect the onset of fatigue and dehydration in athletes during prolonged exercise activities. Finally, Javey and team has explored detection of heavy metals (e.g., lead) in sweat as an early exposure detection to these toxic species.
The networking of the sensors is a novel design, enabling the device to detect a combination of chemicals at any given time. The current project can simultaneously monitor changes in sodium, potassium, calcium, glucose, lactate, and heavy metal levels, among others.
This networked capacity offers the chance to study how different molecular concentrations vary in relation to each other. Doing so could potentially help in assessing health conditions or disease risk.
The sensors on the wristband or headband are chemically coated electrodes that measure voltage or current as a proxy for electrolyte concentration. Electrodes differ based on the type of chemical they are designed to detect. The integrated circuit portion of this wearable device converts the measured voltage and current to a readout of a given chemical concentration. Since signal output is temperature-sensitive, the chip is also needed to continuously calibrate the sensors to assure they accurately record concentration as the sweat temperature changes.
As his lab advances the sensor network innovation from a prototype to a potentially commercial device, Javey intends to tap the tech transfer expertise of mentors in the Bakar Fellows Program, with the aim of developing a company produce and market the technology.