Sigma ROX 10.0 GPS Butler bike mount

Ultra-light, comfortable and well-fitting Sigma R1 ANT+ Comfortex+ chest belt for Sigma Sport ROX 10.0 GPS bike computer. ECG-accurate heart rate measurement and watertight. The textile chest belt can be washed on a hand wash cycle and in a wash bag at up to 30 degrees Celsius. Suitable for all ANT+ compatible systems. ANT+
The use of wireless, digital ANT+ transmission technology is common in bicycle electronics. All ANT+ compatible devices can communicate with each other as long as they have been 'paired'. Most common power meters are ANT+ based.

18% discount

The multifunctional Sigma PC 15.11 heart rate monitor yellow has all the essentials and counts not only calories but also the completed laps. Intervals can be viewed throughout training with the press of a button.

The Tunturi Stopwatch 14TUSRU002 with display, 2 memories, main basic functions. time, day, month, hours, minutes and seconds.

18% discount

The multifunctional Sigma PC 15.11 heart rate monitor grey has all the essentials and counts not only calories but also the completed laps. Intervals can be viewed throughout training with the press of a button.

10% discount

When connected to an iPhone and the SIGMA MOVE app via Bluetooth SMART, the Sigma RC Move Basic heart rate monitor black becomes a multifunctional training device. The SIGMA iPhone app can accompany almost any form of sporting activity. Users can select their own point of focus, whether heart rate, speed and distance or simply the route. The training session can be tracked on the display, graphically analyzed, and shared with friends via Facebook and Twitter. Together with the R1 BLUE COMFORTEX+ heart rate chest belt from SIGMA SPORT, this app (for iPhone 4S and above) is the ideal training partner. (not included) It has a clear structure and is simple and intuitive to use. The desired sport can be selected with a single tap. The ability to quickly and easily switch between three different display configurations also makes it possible to monitor training sessions on the basis of different parameters.