BitDoctor.ai
  • Abstract
  • Introduction
  • Problem Statement
  • Market Insights
  • Preventive Healthcare
  • Unique Value Proposition
  • BitDoctor Blockchain Technology Stack
  • Our AI Technology
    • Training BitDoctor's AI
    • Hardware And Imaging Requirement
  • Clinical Measurement Reports
    • Heart Rate
    • Breathing Rate
    • Irregular Heartbeat
    • Heart Rate Variability
    • Hypertension Risk
    • Type 2 Diabetes Risk
    • Cardiovascular Diseases Risk (incl. Heart Attack & Stroke Risks)
    • Hypercholesterolemia
    • Hypertriglyceridemia
    • Fatty Liver Disease
    • Morning Fasting Blood Glucose
    • Hemoglobin A1C
    • Image-Based Age
  • DePIN Shared Economy
  • Strategic Opportunities
    • Clinical Trial Agencies
    • Preventive Healthcare Brands
    • Active Wear & Equipment
    • Insurance Company
    • Pharmaceutical Company
    • Supplement Company
    • Crypto Firms
  • Tokenomics
    • Token Utility
  • Community
    • About $LiV Points
  • Roadmap
  • Links
  • Appendix
  • Team Info
    • Advisors
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On this page
  • Description
  • Method
  • Participants
  • Additional Data Collection Setup
  • Additional Data Collection Procedure
  • Analysis of Accuracy & Reliability
  • Results
  1. Clinical Measurement Reports

Breathing Rate

PreviousHeart RateNextIrregular Heartbeat

Last updated 4 months ago

Description

Breathing rate (BR) corresponds to the number of times the user inhales and exhales, expressed as a rate per minute (Range: up to 50 breaths/minute). 12-25 breaths/minute is considered healthy/normal.

Method

BR measured by BitDoctor was assessed against BR as measured with a respiration belt. All tests were conducted by researchers with experience in data collection, signal processing, and machine learning.

Participants

The subjects were recruited from Affiliated Hospitals. There were no exclusion criteria when recruiting participants, although most participants were healthy adults above 18 years of age. Table 9 displays a summary of participant characteristics.

Participants
Composition

Average Age

41.2

Standard deviation of age

15.2

Gender distribution

48% Male; 52% Female

Table 9: Characteristics of participants for breathing

Additional Data Collection Setup

A mechanical respiration belt was attached around the thoracic region of each participant and then connected to a BIOPAC recording device. Figure 12 depicts the data collection setup.

Additional Data Collection Procedure

Oscillations in the tension of the respiration belt (capturing inspiration and expiration) and video recordings of the participant’s face were captured in a 2-minute recording.

Analysis of Accuracy & Reliability

Reference BR was calculated by counting the number of breathing cycles (inspiration + expiration) captured by the respiration belt, and then expressing this value as a per-minute rate.

BitDoctor-based BR was calculated by using the breathing detection algorithm to predict the number of breaths based on facial blood flow information, and then expressing this value as a per-minute rate.

Breathing rate accuracy was then expressed as a Pearson correlation between participants’ reference breathing rate (as determined by respiration belt/BIOPAC) and breathing rate estimated by BitDoctor.

Results

The accuracy and reliability of BitDoctor BR is summarized in Table 10.

Physiological Measure
Accuracy (%)
Reliability (%)

Breathing

>90

99

Table 10: Accuracy and reliability of BitDoctor BR.

The Pearson correlation between participants’ reference BR (as determined via respiration belt/BIOPAC) and BR estimated by BitDoctor was r=0.9. Figure 13 depicts the relation between reference BR (ground truth) and BitDoctor BR (predicted value)

Figure 13: Scatter plot depicting the relation between reference (ground truth) BR measured with a respiration belt and BR estimated from BitDoctor. The equation characterizes the line of best fit.

Figure 12: BR test setup
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