Eneral, Nformation for, Raining – Beurer PM 26 Benutzerhandbuch

Seite 7

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5

G

B

G

ENERAL

I

NFORMATION FOR

T

RAINING

This heart rate monitor serves to measure the human pulse. By
means of various settings, you can support your individual training
program and monitor your pulse. You should monitor your pulse
during exercise because you should prevent your heart from exces-
sive strain on the one hand and on the other in order to achieve the
optimal training results. The table provides you with some informa-
tion on the selection of your training zone. The maximum heart rate
reduces with advancing age. Information on the training heart rate
must therefore always be in relation to the maximum heart rate. The
following rule of thumb helps to identify the maximum heart rate:

220 - age = maximum heart rate

The following example applies to a 40-year-old person: 220-40 = 180


Heart/health

programme

Fat burning

zone

Fitness pro-

gramme

Endurance

training pro-

gramme

Anaerobic

training

Max. heart rate

range

50-65% 55-75% 65-80% 80-90% 90-100%

Display on

monitor

HEALTH FAT-B AROBIC –

Effect

Strengthens the

heart and the

circulatory system

The body burns

the highest

percentage of

calories from fat.

Strengthens the

heart and the

circulatory

system,

enhances fitness

Improves the

respiratory and

circulatory

system. Ideal to

promote the basic

endurance

Improves speed

maintenance and

increases basic

speed.

Overloads

specific muscles.

High injury risk for

athletes at

amateur level,

risk to the heart in

case of disease.

Suitable for

Ideal for

beginners

Weight control

and loss

Athletes at

amateur level

Ambitious

athletes at

amateur level,

professional

athletes

Only professional

athletes

Training

Regenerative

training

Fitness

training

Endurance

training

Fitness training

addressing

specific zones

Three preset pulse ranges are saved in the heart rate monitor as
training zone suggestions (HEALTH/FAT-B/AROBIC). For selecting
pulse limits, see chapter "Setting the training data", page 13.

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