Did you know that: The highest consistency of movements was found to be quite typical for stroke seats in eights and could be related to the specifics of stroke rowers and their ability to set a consistent rhythm for the crew. The main method of BioRow data analysis (RBN 2017/02) involves deriving arrays of average values for each variable (angles, forces, seat position, etc.) over the sample period. These arrays represent typical patterns (curves) of rowing technique and allow reliable comparisons of various samples (different stroke rates, rowers, crews, boat types, etc.). Additionally, BioRow software allows for deriving arrays of standard deviations (SD) for each variable, representing data variation in each data point between stroke cycles. Here, we present examples of SD patterns for four main variables measured with the BioRow system: horizontal and vertical oar angles, handle force, and seat position. Horizontal oar angles had the highest SD during the second half of the drive, while the SD of vertical angles peaked after the catch. Handle force SD exhibited two peaks: one at the beginning and another at the end of the drive. The SD of seat positions also had two peaks, occurring before and after the catch.
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