Struct TimeMetrics

pub struct TimeMetrics<T> {
    pub rmssd: T,
    pub sdnn: T,
    pub pnn50: T,
    pub mean_hr: T,
    pub sdsd: T,
    pub avnn: T,
    pub cvsd: T,
}

A struct representing various heart rate variability (HRV) time-domain metrics.

The TimeMetrics struct holds key HRV parameters computed from RR intervals. These metrics are essential for assessing the short-term and long-term variability of heart rate, which can provide insights into the autonomic nervous system’s regulation of the heart.

Fields

rmssd: T

Root Mean Square of Successive Differences (RMSSD). A measure of short-term HRV derived from the differences between successive RR intervals.

sdnn: T

Standard Deviation of NN Intervals (SDNN). A measure of overall HRV that reflects the variability in RR intervals over time.

pnn50: T

Percentage of Successive RR Intervals > 50 ms (PNN50). This metric quantifies the proportion of intervals that differ by more than 50 ms, indicating parasympathetic nervous system activity.

mean_hr: T

Mean Heart Rate (mean_hr). The average heart rate calculated from the RR intervals over the recording period.

sdsd: T

Standard Deviation of Successive Differences (SDSD). A short-term HRV metric that measures the standard deviation of the differences between successive RR intervals.

avnn: T

Average NN Interval (AVNN). The mean of the RR intervals, reflecting the average time between heartbeats.

cvsd: T

Coefficient of Variation of Successive Differences (CVSD). A normalized measure of short-term HRV, calculated as the ratio of the standard deviation to the mean of the successive RR interval differences.

Implementations

impl<T: Float + Sum<T> + Copy + Debug> TimeMetrics<T>

pub fn compute(rr_intervals: &[T]) -> Self

Computes various time-domain HRV metrics from the given RR intervals.

The function calculates the following HRV metrics:

• SDNN (Standard Deviation of Normal-to-Normal intervals): A measure of overall HRV, indicating long-term variability.
• RMSSD (Root Mean Square of Successive Differences): A short-term HRV measure that reflects the variability between successive RR intervals.
• SDSD (Standard Deviation of Successive Differences): Another short-term HRV measure based on the standard deviation of successive RR interval differences.
• PNN50 (Percentage of Successive RR Interval Differences > 50 ms): A measure of parasympathetic nervous system activity.
• Mean HR (Mean Heart Rate): The average heart rate, derived from RR intervals.
• AVNN (Average NN Interval): The mean of all RR intervals.
• CVSD (Coefficient of Variation of Successive Differences): The ratio of RMSSD to the average RR interval, indicating relative variability.

Arguments

• rr_intervals - A slice of RR intervals representing the time between successive heartbeats (in milliseconds).

Returns

Returns a TimeMetrics struct containing the computed HRV metrics.

Example

use cardio_rs::time_domain::TimeMetrics;

let rr_intervals = vec![800.0, 820.0, 810.0, 780.0, 790.0];
let metrics = TimeMetrics::compute(&rr_intervals);
println!("{:?}", metrics);

Trait Implementations

impl<T: Clone> Clone for TimeMetrics<T>

fn clone(&self) -> TimeMetrics<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for TimeMetrics<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: Default> Default for TimeMetrics<T>

fn default() -> TimeMetrics<T>

Returns the “default value” for a type.

impl<T: PartialEq> PartialEq for TimeMetrics<T>

fn eq(&self, other: &TimeMetrics<T>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<T: Copy> Copy for TimeMetrics<T>

impl<T> StructuralPartialEq for TimeMetrics<T>