METs¶

Defines methods for estimating METs on a second-by-second input.

Provides 4 different methods for validation purposes

ventana.METs.c_mets(counts, time_freq=60)¶

Original crouter second-by-second estimation of METs based on second-by-second vertical counts

Parameters:	counts (list) – Second-by-second vertical counts (numbers) time_freq (int) – Number of seconds that are grouped together to estimate METs, default 60
Returns:	Second-by-second estimation of METs (floats)
Return type:	list

ventana.METs.cr2_mets(counts, chunk_freq=10, time_freq=6)¶

Crouter2 second-by-second estimation of METs based on second-by-second vertical counts

Parameters:	counts (list) – Second-by-second vertical counts (numbers) chunk_freq (int) – Number of seconds that values are grouped into for analysis, default 10 time_freq (int) – Number of chunks from chunk_freq that are averaged to find METs, default 6
Returns:	Second-by-second estimation of METs (floats)
Return type:	list

ventana.METs.freedson_mets(counts, time_freq=60)¶

Freedson second-by-second estimation of METs based on second-by-second vertical counts

Parameters:	counts (list) – Second-by-second vertical counts (numbers) time_freq (int) – Number of seconds that are grouped together to estimate METs, default 60
Returns:	Second-by-second estimation of METs (floats)
Return type:	list

ventana.METs.sasaki_mets(counts, time_freq=60)¶

Sasaki second-by-second estimation of METs based on second-by-second vector magnitude counts

Parameters:	counts (list) – Second-by-second vector magnitude counts (numbers) time_freq (int) – Number of seconds that are grouped together to estimate METs, default 60
Returns:	Second-by-second estimation of METs (floats)
Return type:	list