Introduction
This section provides a detailed guide to interpreting the physiological measurements available through Vitals™ SDK, categorized into 7 key areas:
CategoryCategory | DescriptionDescription |
|---|---|
| Wellness | Provides a holistic overview of your body’s overall state and ability to cope with daily demands. This includes assessments of your General Wellness, Stress Level, Physical Wellness, Mental Wellness, Cardiovascular System Wellness, and Respiratory System Wellness. |
| Respiratory | Assesses the health and performance of your respiratory system, including Respiratory Rate and Oxygen Saturation (SpO2). These metrics are essential for understanding how effectively your body is taking in oxygen and releasing carbon dioxide. |
| Cardiovascular | Focuses on key indicators of heart health, including Heart Rate, Heart Rate Variability (HRV), Blood Pressure, Cardiac Workload, and Pulse-Respiration Quotient (PRQ). These measurements provide crucial information about the function and efficiency of your cardiovascular system. |
| Physical Analysis | Offers insights into your physical characteristics, including Waist-to-Height Ratio (WHtR), A Body Shape Index (ABSI), ABSI Z-score, and Body Mass Index (BMI). These metrics offer a comprehensive assessment of your body composition and potential health risks. |
| Risk | Provides insights into your potential health risks, including Cardiovascular Risk, Covid Risk, Hypertension Risk, and Diabetes Risk. These assessments consider various factors such as lifestyle, genetics, and pre-existing conditions. |
| Facial Beauty | Assesses aspects related to facial aesthetics, including Skin Quality, Skin Characteristics, and Facial Characteristics. This analysis offers insights into various aspects of your facial appearance and can be used for personalized beauty and skincare recommendations. |
| Scan Parameter | Reflects the quality of the signals captured by our Vitals™ SDK. This includes an evaluation of Signal Quality and Signal Conditions, offering insights into the reliability of the measurements. |
Our Mission 🌟
PanopticAI is committed to providing accurate, accessible, and actionable health information, empowering individuals to take proactive steps towards improved health outcomes.
Vital Sign Interpretation Framework
Within this website, we utilize a standardized vital sign interpretation framework to document how you can interpret each vital sign available through our Vitals™ SDK. It comprises of 8 components:
1. What is [metric]?
A concise, scientifically-grounded definition of the vital sign.
2. How to retrieve [metric] from Vitals™ SDK?
A reference to the Vitals™ SDK API, specifying the server version(s) / the SDK(s) that offer support for the particular vital sign, any required user information to obtain the specific vital sign from the Vitals™ Cloud Service, the API for retrieving the value from the Vitals™ SDK, and the relevant API reference for your consultation.
3. What does it mean to have high [metric]?
An explanation of the potential scientific implications of a high value for the vital sign, aiming to provide users with a clear understanding of the significance of a high reading for a specific vital sign. Possible causes, associated symptoms, underlying health risks, and relevant guidance are included.
4. What does it mean to have low [metric]?
An explanation of the potential scientific implications of a low value for the vital sign, aiming to provide users with a clear understanding of the significance of a low reading for a specific vital sign. Possible causes, associated symptoms, underlying health risks, and relevant guidance are included.
5. How does Vitals™ SDK measure it?
A brief description of the proprietary algorithmic methodology employed by PanopticAI to derive the presented value, offering insight into the technological basis of the measurement.
6. Unit of measurement
The standard unit used to express the measured value, ensuring clarity and consistency.
7. Range
Presentation of established reference ranges for the given vital sign. Where appropriate, these ranges are stratified by age and gender to contextualize individual results within population norms.
8. References
Citations of peer-reviewed scientific literature and other reputable clinical resources that validate and support the interpretation of the presented data.