A New Way to Optimize Sleep and Light Exposure Can Reduce Jet Lag and Improve Alertness
Wearable technology can be used to calculate optimal personalized sleep and light schedule
TROY, N.Y. — Whether you’re traveling for work or for fun, nothing ruins the start of a trip quite like jet lag. Engineers affiliated with the Lighting Enabled Systems & Applications (LESA) Center at Rensselaer Polytechnic Institute have developed a way to deliver personalized advice using smart wearable technology that would help travelers adjust more quickly.
In a series of articles, including one published today in PLOS ONE, the researchers explain how they have developed and demonstrated a series of algorithms that can analyze biometric information recorded by a smart device and then recommend the best combination of sleep and light to help a person readjust their circadian rhythm.
“Using these algorithms and a mathematical model of a person’s circadian rhythm, we have the ability to compute the best light to adjust your circadian rhythm and foster your well-being. This opens the opportunity to create a smart and healthy environment,” said Agung Julius, an associate professor of electrical, computer, and systems engineering at Rensselaer and one of the authors on this paper.
The same, he said, goes for determining the sleep — both how much and when it should be received — a person needs.
Circadian rhythms are master internal clocks that help regulate many of our physiological processes, including sleep, metabolism, hormone secretion, and even how our brain functions. Energy, alertness, and other biological processes can suffer when that rhythm doesn’t align with the clock one is actually trying to follow.
The Department of Defense is funding this research because of the benefits the researchers’ findings could bring to the alertness of service members.
“The circadian and sleep processes are also very tightly related to your mental state and how alert you are,” Julius said. “If you try to do something in the wrong time of day, your alertness is not going to be as effective as if you do it in the right time of day as defined by your circadian clock.”
Julius explained that a person’s circadian rhythm variation is typically determined using information gathered from a blood or saliva test that measures levels of the hormone melatonin. The problem with that traditional approach is that obtaining the results takes time and doesn’t allow for instant analysis.
The LESA team, which includes John Wen, head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer and co-author on this paper, has been working on algorithms that process data — like heart rate and body temperature — that can be collected from wearable smart technology and converted into an estimate of a person’s circadian rhythm variation.
“The question is whether that kind of data can give you as accurate an estimation as the clinical standard,” Julius said.
What the team has found and demonstrated is that the estimates their algorithms generated are in line with clinical hormone measurement techniques. Julius said these findings are indicative that the team’s approach works.
“This work is important, because it characterizes the fundamental processes the human body uses to synchronize circadian and sleep processes. By developing biosensing analytics to characterize circadian phase, it is now possible to optimize the efficient use of light with appropriate spectral properties to help optimize and maintain human health and performance,” said Robert Karlicek, the director of the LESA Center. “This will be important to other work related to lighting and health in LESA’s clinical research test beds at Thomas Jefferson University and the University of New Mexico.”
About Rensselaer Polytechnic Institute
Founded in 1824, Rensselaer Polytechnic Institute is America’s first technological research university. Rensselaer encompasses five schools, 32 research centers, more than 145 academic programs, and a dynamic community made up of more than 7,900 students and over 100,000 living alumni. Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.
About the Lighting Enabled Systems & Applications (LESA) Center
The Lighting Enabled Systems & Applications (LESA) Center is an interdisciplinary, multi-university center developing “Systems that Think™”. It engages faculty members, research staff, graduate and undergraduate students, and industry members to work on research leading to intelligent systems with adaptive and controllable properties that will change the way society lives and works. The Center joins academia, industry and government in partnership to produce transformational engineered systems, along with highly trained engineering graduates who are adept at innovation and primed for leadership in the global economy. Originally funded by the National Science Foundation, LESA is headquartered at Rensselaer Polytechnic Institute in Troy, N.Y., and partners with Boston University, The University of New Mexico, and Thomas Jefferson University to achieve its objectives. To learn more, go to www.lesa.rpi.edu.