get_heartrate: Preprocess and extract heart rate from smartphone video...

In Sage-Bionetworks/mhealthtools: mhealthtools - Package for processing mobile sensor data and to extract meaningful features

Description

A convenience wrapper for extracting heart rate features for each color band from average pixel value per frame of video (processed hr) captured using smartphone cameras.

Usage

get_heartrate(
  heartrate_data,
  window_length = 10,
  window_overlap = 0.5,
  method = "acf"
)

Arguments

heartrate_data	A data frame with columns t, red, green and blue
window_length	Length of the time window in seconds, to be considered while calculating the heart rate for each channel.
window_overlap	Fraction in the interval [0, 1) specifying the amount of window overlap.
method	The algorithm used to calculate the heartrate, current methods include ('acf','psd') which stand for autocorrelation function, and power spectral density respectively. We will be adding support for peak picking algorithms, and wavelet methods later.

Details

The heartrate activity entails participants placing their finger over the camera for a period of time with the flash on.

Value

list containing heart rate and confidence of the estimate for each color (red, green, blue)

Author(s)

Meghasyam Tummalacherla, Phil Snyder

See Also

heartrate_data

Examples

heartrate_data = heartrate_data[,c('t', 'red', 'green', 'blue')]
heartrate_ftrs = get_heartrate(heartrate_data)

Sage-Bionetworks/mhealthtools documentation built on Sept. 20, 2020, 1:42 p.m.