initial implementation

rowers/dataprep.py

@@ -871,6 +871,8 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
         # auto smoothing
         pace = row.df[' Stroke500mPace (sec/500m)'].values
         velo = 500. / pace
+        if workouttype == 'bikeerg':
+            velo = 1000. / pace
 
         f = row.df['TimeStamp (sec)'].diff().mean()
         if f != 0 and not np.isnan(f):

rowers/types.py

@@ -2,6 +2,7 @@ workouttypes = (
     ('water','Standard Racing Shell'),
     ('rower','Indoor Rower'),
     ('skierg','Ski Erg'),
+    ('bikeerg','Bike Erg'),
     ('dynamic','Dynamic Indoor Rower'),
     ('slides','Indoor Rower on Slides'),
     ('paddle','Paddle Adapter'),