# ECG, Heart rate and heart rate variability

The following algorithms are based on single channel ECG signals that are acquried by the movisens sensors ekgMove, EcgMove 3, or EcgMove 4.

The following process is used to analyse ECG signals and to calculate Heart Rate Variability parameters.

  1. Artefact detection based on raw ECG signal: The ECG signal amplitude and the number of zero crossings per second have to be within a normal physiological range.
  2. R-Peak detection: R peaks are detected with an adapted algorithm from Hamilton, 2002.
  3. NN-List generation: The R-Peaks are filtered by an algorithm that was adapted from Clifford et al. 2002. The signal is checked for valid changes of consecutive RR-intervals, and also for valid changes of consecutive R-peak amplitudes. Most of the detected R-peaks and RR-intervals respectively that do not relate to nromal heart beats are filtered out. The final list of beats is the NN-List.
  4. Segmentation: The RR interval list is segmented into 2 minute segments with a shift of 30 seconds
  5. Segment validation: Each segment is checked if enough NN intervals are available for further analysis. Segments with insufficient NN intervals are discarded.
  6. Heart Rate calculation
  7. Detrending: In ambulatory settings stationarity of the heart rate is main concern for heart variability calculation. Therefore the NN-intervals are detrended to meet stationarity criteria Eleuteri et al. 2012
  8. Calculation of statistical HRV parameters: The parameters SDNN, RMSSD, SDSD, SD1, SD2, pNN50 and Baevsky SI are calculated.
  9. Interpolation: The NN-List is resampled with 4Hz
  10. Calculation of frequency domain HRV parameters: The power spectral density is estimatied using Welch’s method. The the parameters LF, HF, LF/HF parameters are calculated from the spectrum.

Notes for the calculation of HRV parameters (internal segmentation vs. output intervals):

  • All HRV calculations occur internally every 30 seconds over segments of 2 minutes duration. For each output interval the mean values of the internally calculated values are output.

  • If the output interval is smaller than 30 seconds, values are repeated. <!-- Standardeinstellung ist Window = 120s und Shift = 30s

    das erste Window nimmt die NN-Werte von 0s - 120s. das zweite Window von 30s-150s. das dritte Window von 60s-180s. Durch den Shift von 30s ergibt sich eine interne Samplerate von 1/30s Die Windows landen intern an Stelle 2-4. Stelle 1 bleibt leer. Bei einem Ausgabeintervall von 60s werden dann die ersten beiden internen Stellen zum ersten Ausgabewert zusammengefasst und die Stellen 3 und 4 zum zweiten Ausgabewert.

Mit diesen Einstellungen braucht also jeder Ausgabewert 60s aus der Zukunft. Daher fehlt der letzte Ausgabewert. Man kann das auch anders einstellen über ein custom config file. -->

Literature:

# R-Peaks (R)

This parameter displays the exact positions of the R peaks of the ECG as events. The temporal resolution depends on the sample rate of the ECG. The default samplerate of movisens ECG sensors is 1024Hz.

The following figure shows a 10 second snapshot of the raw ECG signal and the R peaks underneath. ECG signal with detected R peaks

# Nornal-to-normal intervals (Nn)

This parameter calculates the positions of the normal beats and the distance in [ms] to the last normal beat. It will show one value per normal heartbeat. A graph showing the RR or NN intervals as time series is also referred to as tachogramm.
ECG signal with normal-to-normal beat intervals

movisensLIVE: StepCount can be calculated live on the sensor.

# Beat by beat heart rate (HrBxB)

The heart rate values are output beat by beat, with one value per beat being displayed. The unit is [1/min]. ECG signal with beat by beat heart rate

# Heart Rate (Hr)

This parameter caluclates the mean heart rate per output interval. The unit is [bpm].

movisensLIVE: Hr can be calculated live on the sensor.

# High Frequncy HF (HrvHf)

This parameter calculates the mean value of the HRV parameter High Frequency (HF) per output interval. HF describes the spectral power in the frequency band between 0.15 and 0.4 Hz. The unit is [ms2]. The output interval is adjustable – see the top of this section for more details.

# Low Frequncy lF (HrvLf)

This parameter calculates the mean value of the HRV parameter Low Frequency (LF) for each output interval. LF describes the spectral power in the frequency band between 0.04 and 0.15 Hz. The unit is [ms2]. The output interval is adjustable – see the top of this section for more details.

# HRV parameter Low to High Frequency Ratio LF/HF (HrvLfHf)

HRV parameter Low to High Frequency Ratio (LF/HF) This parameter calculates the mean value of the HRV parameter Low Frequency to High Frequency Ratio (LF/HF) per output interval.

# HRV parameter RMSSD (HrvRmssd)

This parameter calculates the mean value of the HRV parameter RMSSD per output interval. RMSSD is the root mean square of successive differences of beat intervals. The unit is [ms]. The output interval is adjustable – see the top of this section for more details.

movisensLIVE: HrvRmssd can be calculated live on the sensor.

# HRV parameter pNN50 (HrvPnn50)

This parameter calculates the mean value of the HRV parameter pNN50 per output interval. pNN50 is the percentage of NN intervals greater than 50ms. The unit is [%]. The output interval is adjustable – see the top of this section for more details.

# HRV parameter SD1, SD2, SD1/SD2 (HrvSd1, HrvSd2, HrvSd2Sd1)

SD1 and SD2 represent short and long term variability repectively. SD1 and SD2 can be derived from the Poincaré plot of the beat intervals. SD1 is the short half axis, SD2 is the long half axis of a fitted ellipse. SD1 and SD have the unit [ms]. Also the ratio SD2/SD1 can be calculated. The unit is []. The output interval is adjustable – see the top of this section for more details.

# SDNN (HrvSdnn)

This parameter calculates the mean value of the HRV parameter SDNN per output interval. SDNN describes the standard deviation of the beat intervals. The unit is [ms]. The output interval is adjustable – see the top of this section for more details.

# Beavsky Stress Index (BaevskStressIndex)

This parameter was developed by R.M. Baevsky. It is based on frequency distribution of the heart beat intervals. It has no unit []. The output interval is adjustable – see the top of this section for more details.

Literatur:

  • Baevsky, R.M. Die Methodik der Analyse der Herzrhythmusvariabilität (übersetzt), 1999
  • Baevsky, R M. Noninvasive methods in space cardiology. Journal of cardiovascular diagnosis and procedures. 1997, Bd. 14, 503-51
  • Baevsky, R M und andere. HRV Analysis under the usage of different electrocardiography systems. s.l.: Committee of Clinic Diagnostic Apparatus and the Committee of New Medical Techniques of Ministry of Health of Russia. 2004.

# ECG derived respiration (Edr)

Respiration can be derived from the ECG signal when the participant is at rest. A synthetic respiration signal is created from the amplitudes of the R peaks in the ECG, and from this signal the respiration rate can be calculated. The respiration rate might be distorted when the ECG signal contains artefacts e.g. due to movement. Beside the ECG signal, acceleration signal is required to calculate this parameter.

# List of inter beat intervals as text file

This generates the text file ‘ReportIbi.txt’ that contains all RR intervals (time between the current and last R peak). Each line of the text file shows one value as output. The unit is [ms].

# PDF Report

Report Type Description Aligned at full days
ReportHrvPdf PDF Detailed report with plots of activity class, MET, heart rate, HRV spectrogram, LF, HF, LF/HF, Baevskii Stress Index, Table of HRV parameters in different activity classes (one page per day). Preview. no
Last Updated: 11/28/2019, 11:58:13 AM