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Fig. 5 | Journal of NeuroEngineering and Rehabilitation

Fig. 5

From: A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly

Fig. 5

a. Low-Back acceleration signal (with a sampling rate of 100 samples/s) and detected events. Typical example of a segmented AP acceleration signal collected at the lower back (blue), and the “Events” (magenta) detected by the algorithm applied to low-back accelerometry. These “Events” were obtained from the shift by a 15 % TL samples of the instants at which the peaks were found. The intervals between “Events” permitted to calculate step durations. b. Heel acceleration signals (with a sampling rate of 100 samples/s) and detected events. Typical example of segmented AP acceleration signals collected at the heels, left heel (red) and right heel (blue), and the respective “Events” detected by the algorithm. These “Events” were obtained from the shift by a 5 % TL samples of the instants at which the peaks were found. The intervals between “Events” calculated for each of the heel acceleration signal correspond to stride durations, and the combination of the events detected from both heel accelerometry permitted to obtain step durations

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