trackfitness

scripts and tools to parse and visualize body fitness data from various sources

Dependencies: import numpy as np import matplotlib.pyplot as plt import seaborn as sns import pandas as pd from pathlib import Path import fitparse import orthostatic_delta_hrv_test as odht %matplotlib widget

Usage

Orthostatic load refers to the physiological stress experienced by the body when transitioning from a supine or seated position to an upright position. This change in posture can lead to alterations in blood pressure, heart rate, and other cardiovascular parameters. Orthostatic load is commonly used as a measure of autonomic nervous system function and cardiovascular health.

Heart Rate Variability (HRV) is a measure of the variation in time intervals between consecutive heartbeats. It reflects the dynamic balance between sympathetic and parasympathetic branches of the autonomic nervous system, which regulate heart rate. HRV is considered an indicator of autonomic nervous system activity and can provide insights into the body's ability to adapt to various physiological and psychological stressors.

For more information, you can refer to the following Wikipedia articles:

• Orthostatic load
• Heart Rate Variability (HRV)
• Marco Altini's fantastic HRV4Training website and blog posts

How to measure?

For atheletes, it is recommended to measure the HRV and Orthostatic Load every morning after waking up and in a sitting position.

The first state of orthostatic load measurement also takes care of HRV measurement.

Use Polar Sensor Logger to record the data.

Steps:

1. Measure immediately after waking up and using the toilet.
2. Sit comfotably on a chair, with or without back support. Use the same settings every day.
3. Relax and breathe normally for 1 minute before starting the measurement.
4. Start the measurement and remain seated for 5 minutes.
5. Stand up after 5 minutes and remain standing for 3 minutes.
6. Stop the measurement after 3 minutes of standing.
7. Export the file to the directory.
8. Run the code to get the results.

Important: Do not cross your legs and do not talk or move during the measurement.

Important: Breathe normally and do not hold your breath during the measurement.

Example of the data file:

import importlib
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from pathlib import Path
import fitparse
import orthostatic_delta_hrv_test as odht

filepath = Path(r"C:\path\to\workout_fit_file\workout.fit")
filepath = Path(r"C:\path\to\workout_tcx_file\workout.tcx")
origins = ['Polar Sensor Logger Export', 'Runalyze Fit Export' , 'Runalyze TCX Export']
origin = origins[1]

pre_baseline_period = 240 # seconds
post_baseline_period = 120 # seconds

# import orthostatic_delta_hrv_test as odht
df, params, [fig, ax] = odht.main(filepath, origin, pre_baseline_period=pre_baseline_period, post_baseline_period=post_baseline_period, plot=True) #, plot=True)

Results

The results are displayed in the form of a plot. The plot shows the HRV and Orthostatic Load over the period of time. The HRV is measured in milliseconds and the Orthostatic Load is measured in beats per minute.

Orthostatic HRV Test

Orthostatic Load and other parameters

Orthostatic load is calculated as the difference between the maximum and minimum heart rate during the standing phase of the test. A higher orthostatic load value indicates a greater physiological stress experienced by the body during the transition from sitting to standing.

Breathing Quality

---

Principles of 12 factors

https://12factor.net/

1. Codebase: One codebase tracked in revision control, many deploys
2. Dependencies: Explicitly declare and isolate dependencies
3. Config: Store config in the environment
4. Backing services: Treat backing services as attached resources
5. Build, release, run: Strictly separate build and run stages
6. Processes: Execute the app as one or more stateless processes
7. Port binding: Export services via port binding
8. Concurrency: Scale out via the process model
9. Disposability: Maximize robustness with fast startup and graceful shutdown
10. Dev/prod parity: Keep development, staging, and production as similar as possible
11. Logs: Treat logs as event streams
12. Admin processes: Run admin/management tasks as one-off processes