Estimation of Energy Expenditure Using a Patch-Type Sensor Module with an Incremental Radial Basis Function Neural Network

Estimation of Energy Expenditure Using a Patch-Type Sensor Module with an Incremental Radial Basis Function Neural Network

Conventionally, indirect calorimetry has been used to estimate oxygen consumption in an effort to accurately measure human body energy expenditure. However, calorimetry requires the subject to wear a mask that is neither convenient nor comfortable. The purpose of our study is to develop a patch-type...

Bibliografiset tiedot
Päätekijät:	Meina Li, Keun-Chang Kwak, Youn Tae Kim
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	MDPI AG 2016-09-01
Sarja:	Sensors
Aiheet:	energy expenditure linguistic regression radial basis function neural network context-based fuzzy c-means clustering
Linkit:	http://www.mdpi.com/1424-8220/16/10/1566

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