find_peaks: Find peaks in a signal

In impactr: Mechanical Loading Prediction Through Accelerometer Data

Find peaks in a signal

Description

Find peaks in the acceleration signal.

Usage

find_peaks(data, vector, min_height = 1.3, min_dist = 0.4)

Arguments

data	An impactr_data object, as obtained with read_acc().
vector	A character string indicating in which acceleration vector to find the peaks. Can be "resultant", "vertical" or "all".
min_height	The minimum height of the peaks (in g).
min_dist	The minimum horizontal distance between peaks (in seconds).

Details

The default values of the filter parameters are matching the filter used in the paper by Veras et al. that developed the mechanical loading prediction equations (see References). When the vector parameter is set to "all", there may contain NA values in the resultant_peak_acc and/or vertical_peak_acc at the timestamps in which a peak value for that vector could not be identified.

The default values of min_height and min_dist are matching the criteria used in the paper by Veras et al. that developed the mechanical loading prediction equations (see References)

Value

An object of class impactr_peaks with the peaks magnitude stored in the columns.

References

• Veras L, Diniz-Sousa F, Boppre G, Devezas V, Santos-Sousa H, Preto J, Machado L, Vilas- Boas JP, Oliveira J, Fonseca H. Accelerometer-based prediction of skeletal mechanical loading during walking in normal weight to severely obese subjects. Osteoporosis International. 2020. 31(7):1239- 1250. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.1007/s00198-020-05295-2")}.

Examples

data <- read_acc(impactr_example("hip-raw.csv"))
data <- use_resultant(data)
find_peaks(data, vector = "resultant")

impactr documentation built on May 29, 2024, 6:32 a.m.