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Optimizing Interval Training Protocols Using Data Mining Decision Trees

10 years 1 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. However, known method for formulating {dmksuh,mahsa eavin meth ngth ther and tailoring an op idual fatig s attr al’s e n op Recent advances in wireless wearable sensors and tion of embedded iPhone, a Bluetooth pulse oximeter, and the Weka data tool, we are able to formulate the optimized interval t protocols, which can increase the amount of calorie bur ata i n, inte nd w and fitness ne system onitoring on a cane, using accelerometer, pressure and gyroscope s Dencker [32] uses accelerometers to evaluate daily p activities in children aged 8 to 12. Previously, athle to visit athletic centers or hospitals to monitor their health and fitness using large fitness monitoring systems. However, with recent advances in technology, people supplement or even tailor this process using sensors and handheld systems in th...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2009
Where BSN
Authors Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, William J. Kaiser, Majid Sarrafzadeh
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