Can Fish and Cell Phones Teach Us about Our Health?
M.A. Lee, C.M. Duarte, V.M. Eguíluz, D.A. Heller, R. Langer, M.G. Meekan, H.D. Sikes, M. Srivastava, M.S. Strano, R.P. Wilson
ACS Sens., (2019)
Sensor, Biologging, Internet of Things, Data, Medicine, Diagnostics, Machine Learning
Biologging is a scientific endeavor that studies the environment and animals within it by outfitting the latter with sensors of their dynamics as they roam freely in their natural habitats. As wearable technologies advance for the monitoring of human health, it may be instructive to reflect on the successes and failures of biologging in field biology over the past few decades. Several lessons may be of value. Physiological sensors can “encode” for a wider number of states than the one explicitly targeted, although the limits of this are debatable. The combination of orthogonal sensors turns out to be critical to delivering a high value data set. Sensor fusion and engineering for longevity are also important for success. This Perspective highlights successful strategies for biologging that hold promise for human health monitoring.
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