The secret language of your vital signs—and how to read and understand it.

From the firing of neurons in a fraction of a second to the monthly cycle of ovulation to a seasonal shift in sleep patterns, the human body runs on rhythms—all more knowable now than ever, thanks to wearables. Making sense—and making use—of these signals is something else, and this is precisely what Daniel Forger explains in Biological Rhythms.

Sorting through a plethora of data gathered over the past decade, this practical, user-friendly book gives readers the tools for reading and interpreting the rhythms that regulate physiological processes as varied and critical as sleep, brain activity, heart rate, hormone secretion, metabolism, and temperature. Once translated, the language of biological rhythms can be used to improve health and productivity—by athletes, travelers, and shift workers, sufferers of fatigue or sleep disorders, or those wishing to lose weight, monitor infection, or time fertility—in short, anyone with an interest in reading and understanding the body’s vital signs.

Series Overview: The MIT Press Essential Knowledge series offers accessible, concise, beautifully produced books on topics of current interest. Written by leading thinkers, the books in this series deliver expert overviews of subjects that range from the cultural and the historical to the scientific and the technical. In today’s era of instant information gratification, we have ready access to opinions, rationalizations, and superficial descriptions. Much harder to come by is the foundational knowledge that informs a principled understanding of the world. Essential Knowledge books fill that need. Synthesizing specialized subject matter for nonspecialists and engaging critical topics through fundamentals, each of these compact volumes offers readers a point of access to complex ideas.
 
Contributor Bio(s)
 
Daniel B. Forger is Robert W. and Lynn H. Browne Professor of Science, Professor of Mathematics, and Research Professor of Computational Medicine and Bioinformatics at the University of Michigan, Ann Arbor. Hundreds of thousands of people have used his apps and algorithms for scoring sleep and circadian rhythms, predicting mood and fatigue, and analyzing time series data.


Author Residence: Ann Arbor, MI

Author Hometown: Ann Arbor, MI