D
Derk
Guest
Hi,
As I said before one can use SL2HRM to save data. Using the laps feature,
one can take readings every km or so.
I had problems transferring these data under Linux, but with the latest WINE
(Windows Emulator), this goes without any problem now. Wine should be the
latest version and must be installed via YAST. It can be downloaded here:
ftp://ftp.gwdg.de/pub/linux/suse/people/meissner/wine/10.0/
In Germany a program is being made that gives these data graphically.
An example of output:
[Params]
Version 107
Monitor CS200
Date 03.06.2006
StartTime 14:13:08
Length 01:26:04.7
AvgHR 155
MaxHR 175
LowerLimit1 130
UpperLimit1 155
Time1 00:22:58
Time2 01:01:06
Time3 00:02:00
Calories 1273
Distance 46.9
AvgSpeed 32.8
MaxSpeed 42.3
AvgCadence 89
MaxCadence 101
RideTime 01:25:53.5
[User]
Height 185
Birth classified information
MaxHR 176
MaxVO2 51
RestHR 60
NumLaps 32
BestLapNr 8
BestLapTime 83:16:37.5
[Laps] Time EndHR AvgHR EndSpeed EndCadence AvgCadence Distance Auto
1 00:03:07.9 162 143 29.0 78 87 1.5 yes
2 00:05:49.4 153 139 32.6 89 89 3.0 yes
3 00:08:32.3 148 141 32.1 87 89 4.5 yes
4 00:11:17.9 150 146 33.1 90 88 6.0 yes
5 00:13:58.5 145 141 32.2 88 90 7.5 yes
6 00:16:45.4 149 145 32.3 86 88 9.0 yes
7 00:19:34.9 153 147 30.5 83 87 10.5 yes
8 00:21:38.8 155 153 32.6 86 86 11.6 no
9 00:24:35.1 161 152 34.8 93 84 13.1 yes
10 00:27:15.2 162 157 33.5 87 90 14.6 yes
11 00:30:00.6 164 158 31.3 91 89 16.1 yes
12 00:32:45.4 158 154 32.9 88 89 17.6 yes
13 00:35:35.9 164 160 31.6 85 87 19.1 yes
14 00:38:29.7 166 160 30.6 87 87 20.6 yes
15 00:41:28.9 161 157 35.8 94 85 22.1 yes
16 00:44:04.1 154 149 35.1 95 92 23.6 yes
17 00:46:47.2 154 152 33.2 89 89 25.1 yes
18 00:49:30.5 162 153 37.5 96 91 26.6 yes
19 00:51:49.7 170 161 38.9 94 94 28.1 yes
20 00:54:13.3 170 168 36.7 91 94 29.6 yes
21 00:56:37.8 171 167 35.2 91 95 31.1 yes
22 00:59:17.0 175 167 33.6 86 88 32.6 yes
23 01:01:54.8 158 155 32.5 83 87 34.1 yes
24 01:04:34.2 158 156 35.8 92 87 35.6 yes
25 01:07:03.2 156 152 31.8 0 92 37.1 yes
26 01:09:48.5 162 157 32.3 88 86 38.6 yes
27 01:12:25.3 163 160 34.4 88 89 40.1 yes
28 01:15:00.4 170 163 35.6 92 89 41.6 yes
29 01:17:36.1 172 169 34.4 94 94 43.1 yes
30 01:20:16.1 174 167 33.0 90 92 44.6 yes
31 01:22:55.2 166 163 36.1 93 90 46.1 yes
32 01:26:04.7 166 141 6.7 0 90 46.9 no
Gr, Derk
As I said before one can use SL2HRM to save data. Using the laps feature,
one can take readings every km or so.
I had problems transferring these data under Linux, but with the latest WINE
(Windows Emulator), this goes without any problem now. Wine should be the
latest version and must be installed via YAST. It can be downloaded here:
ftp://ftp.gwdg.de/pub/linux/suse/people/meissner/wine/10.0/
In Germany a program is being made that gives these data graphically.
An example of output:
[Params]
Version 107
Monitor CS200
Date 03.06.2006
StartTime 14:13:08
Length 01:26:04.7
AvgHR 155
MaxHR 175
LowerLimit1 130
UpperLimit1 155
Time1 00:22:58
Time2 01:01:06
Time3 00:02:00
Calories 1273
Distance 46.9
AvgSpeed 32.8
MaxSpeed 42.3
AvgCadence 89
MaxCadence 101
RideTime 01:25:53.5
[User]
Height 185
Birth classified information
MaxHR 176
MaxVO2 51
RestHR 60
NumLaps 32
BestLapNr 8
BestLapTime 83:16:37.5
[Laps] Time EndHR AvgHR EndSpeed EndCadence AvgCadence Distance Auto
1 00:03:07.9 162 143 29.0 78 87 1.5 yes
2 00:05:49.4 153 139 32.6 89 89 3.0 yes
3 00:08:32.3 148 141 32.1 87 89 4.5 yes
4 00:11:17.9 150 146 33.1 90 88 6.0 yes
5 00:13:58.5 145 141 32.2 88 90 7.5 yes
6 00:16:45.4 149 145 32.3 86 88 9.0 yes
7 00:19:34.9 153 147 30.5 83 87 10.5 yes
8 00:21:38.8 155 153 32.6 86 86 11.6 no
9 00:24:35.1 161 152 34.8 93 84 13.1 yes
10 00:27:15.2 162 157 33.5 87 90 14.6 yes
11 00:30:00.6 164 158 31.3 91 89 16.1 yes
12 00:32:45.4 158 154 32.9 88 89 17.6 yes
13 00:35:35.9 164 160 31.6 85 87 19.1 yes
14 00:38:29.7 166 160 30.6 87 87 20.6 yes
15 00:41:28.9 161 157 35.8 94 85 22.1 yes
16 00:44:04.1 154 149 35.1 95 92 23.6 yes
17 00:46:47.2 154 152 33.2 89 89 25.1 yes
18 00:49:30.5 162 153 37.5 96 91 26.6 yes
19 00:51:49.7 170 161 38.9 94 94 28.1 yes
20 00:54:13.3 170 168 36.7 91 94 29.6 yes
21 00:56:37.8 171 167 35.2 91 95 31.1 yes
22 00:59:17.0 175 167 33.6 86 88 32.6 yes
23 01:01:54.8 158 155 32.5 83 87 34.1 yes
24 01:04:34.2 158 156 35.8 92 87 35.6 yes
25 01:07:03.2 156 152 31.8 0 92 37.1 yes
26 01:09:48.5 162 157 32.3 88 86 38.6 yes
27 01:12:25.3 163 160 34.4 88 89 40.1 yes
28 01:15:00.4 170 163 35.6 92 89 41.6 yes
29 01:17:36.1 172 169 34.4 94 94 43.1 yes
30 01:20:16.1 174 167 33.0 90 92 44.6 yes
31 01:22:55.2 166 163 36.1 93 90 46.1 yes
32 01:26:04.7 166 141 6.7 0 90 46.9 no
Gr, Derk
