publication . Conference object . 2008

Design of the Approximation Function of a Pedometer Based on Artificial Neural Network for the Healthy Life Style Promotion in Diabetic Patients

A. Vega-Corona; M. Zárate-Banda; J. M. Barrón-Adame; R. A. Martínez-Celorio; D. Andina;
Open Access English
  • Published: 01 Jan 2008
  • Publisher: E.T.S.I. Telecomunicación (UPM)
  • Country: Spain
Abstract
The present study describes the design of an Artificial Neural Network to synthesize the Approximation Function of a Pedometer for the Healthy Life Style Promotion. Experimentally, the approximation function is synthesized using three basic digital pedometers of low cost, these pedometers were calibrated with an advanced pedometer that calculates calories consumed and computes distance travelled with personal stride input. The synthesized approximation function by means of the designed neural network will allow to reply the calibration experiment for multiple patients with Diabetes Mellitus in Healthy Life Style promotion programs. Artificial Neural Networks hav...
Subjects
free text keywords: Telecomunicaciones, Medicina, Approximation theory, Approximation function, Machine learning, computer.software_genre, computer, Computational problem, Pedometer, Life style, STRIDE, Artificial neural network, Artificial intelligence, business.industry, business, Computer science, Cognition
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publication . Conference object . 2008

Design of the Approximation Function of a Pedometer Based on Artificial Neural Network for the Healthy Life Style Promotion in Diabetic Patients

A. Vega-Corona; M. Zárate-Banda; J. M. Barrón-Adame; R. A. Martínez-Celorio; D. Andina;