Light enters tissue
The optical source illuminates the finger while arterial blood volume changes with every pulse.
KardioAS P · Finger photoplethysmography
Read the pulse wave, not only the pulse rate.
KardioAS P records the peripheral pulse optically from a finger sensor and turns the waveform into a reusable study: live PPG, pulse-to-pulse intervals, PRV, pulse-wave morphology, pattern screening, physiological profiles, trends and structured reports.
Peripheral PPG150 Hz samplingPulse morphologyPPI / PRVAndroid workflow8 languages
PPG is not an ECG signal. It observes the mechanical/peripheral consequence of each cardiac cycle through changing blood volume in tissue.
01 · What PPG measures
An optical view of the peripheral circulation.
Photoplethysmography (PPG) uses light to detect small beat-by-beat changes in blood volume in peripheral tissue. The sensor does not record the heart's electrical field; it records the pulse wave after the cardiac contraction has propagated through the arterial system to the measurement site.
That distinction is the reason KardioAS P can study both when pulses arrive and how each pulse is shaped. Timing becomes PPI/PRV data, while the contour itself becomes a source for morphology analysis.
Light is detected
The photodetector measures pulse-synchronous changes in transmitted or reflected light.
Timing is extracted
Consecutive pulse landmarks create pulse-to-pulse intervals for PRV and rhythm analysis.
Shape is preserved
The waveform contour remains available for morphology, reflected-wave and vascular-context analysis.
02 · Real-world workflow
A finger sensor, an Android phone and a complete study.
The practical setup is intentionally simple. A compact finger PPG sensor is connected to the Android device, the live waveform is checked, and the recording is saved to the selected patient. From there, the same study opens into analysis, comparison and reporting without changing systems.
Finger sensor→USB acquisition→Live PPG→Saved study→Analysis
Why this matters: no chest electrodes are needed for the PPG workflow, and the person can remain comfortably seated or lying down while the phone is handled by the user, practitioner or caregiver.
03 · Why KardioAS P
More than a pulse counter.
The strength of KardioAS P is not one isolated metric. It keeps the original peripheral pulse signal connected to morphology, variability, pattern screening, physiological context and repeated-study follow-up.
Direct pulse-wave recording
See the live peripheral waveform, contact quality, heart rate and pulse interval during acquisition.
Morphology-first analysis
Build a representative pulse contour and identify Foot, P1, dicrotic notch and reflected P2 structure.
Variability in context
Time-domain, nonlinear, Poincaré and spectral PRV metrics remain linked to the same recorded study.
Repeat and compare
Registry, trends, calendar, before/after comparison and reports turn measurements into longitudinal observation.
04 · Mobile application
Designed to be understandable while the signal is being recorded.
The recorder keeps the most important information visible: the live wave, heart rate, pulse interval, signal quality, stable-contact indication and study timer. The application also supports eight interface languages.
Real recorder screen
Live signal and contact feedback make it easier to recognize whether the measurement conditions are suitable before relying on analysis.
Eight interface languages
English, Lietuvių, Polski, Español, Deutsch, Français, Italiano and Русский — switchable inside the application.
05 · PPG and ECG
Different signals. Complementary questions.
KardioAS P is valuable precisely because it does not duplicate ECG. It examines the peripheral pulse — the vascular waveform that reaches the finger — while ECG examines the heart's electrical activity.
Aspect
KardioAS P · PPG
ECG
Physical signal
Optical change in peripheral blood volume
Electrical potential generated by cardiac depolarization/repolarization
Typical sensor site
Finger — compact peripheral sensor
Chest or limb electrodes / chest strap, depending on the system
Best suited to
Pulse timing, PRV, peripheral pulse contour, reflected-wave and vascular context
Electrical rhythm, conduction, P/QRS/T morphology and ECG-confirmed arrhythmia assessment
Practical advantage
Simple finger placement, no torso electrodes, convenient for repeated peripheral-pulse measurements
Direct access to the cardiac electrical signal and established clinical ECG frameworks
Important limitation
Sensitive to motion, contact, perfusion, temperature and vascular tone; does not directly measure cardiac electrical conduction
Does not directly describe the peripheral pulse contour or tissue blood-volume waveform
Screening is not diagnosis. PPG can reveal pulse irregularity patterns, but suspected rhythm disturbances should be confirmed with ECG/Holter when clinically indicated. PRV and ECG-derived HRV are related but not interchangeable.
06 · Signature capability
Pulse-wave morphology: the shape becomes measurable.
KardioAS P aligns and filters multiple accepted pulse cycles to construct a representative peripheral wave. The software then identifies characteristic landmarks and timing relationships rather than reducing the recording to heart rate alone.
Foot → P1Crest time to the systolic peak
P1 → P2Reflection delay and relative timing
Notch + P2Dicrotic and reflected-wave structure
The analytical report can include crest time, ΔT, Foot→incisura, Foot→P2, notch level, DVP-SI and P2 Rebound with age-oriented reference context. These are screening-oriented peripheral indices, not direct measurements of arterial PWV.
07 · Pulse-pattern screening
Look for structure across the whole recording.
The pulse-pattern module evaluates the PPI series for regularity, anomalous intervals, long intervals, pronounced irregularity, tachycardic or bradycardic sequences and broader functional patterns. It also reports data quality so the interpretation is not separated from the recording conditions.
Pattern status is more important than a percentage.
The software's scoring coefficient is interpreted together with the rule status. It is not presented as the probability that a disease or rhythm disorder is present.
- Rhythmogram + accepted PPI series
- Irregularity, entropy and DFA context
- Detected / possible / not-supported statuses
- Conclusions and practical recommendations
08 · A broader analytical view
One peripheral recording, several complementary perspectives.
KardioAS P keeps conventional variability measures alongside functional and exploratory modules so the user can review the same study from more than one angle without losing the original pulse context.
SDNN, RMSSD, pNN50, Poincaré, spectral power, VLF/LF/HF and related variability metrics from cleaned PPI.
Functional indices for regulatory load, adaptive reserve, fatigue, vascular tone/stiffness models and integrated context.
Indirect reconstruction of respiratory modulation from PRV, including estimated rate, RSA dynamics, spectrum and time–frequency view.
Physiological interpretation of autonomic regulation with valence/arousal mapping and ranked software-derived profiles.
Follow selected parameters over time and compare repeated studies under similar conditions.
Generate a multi-section PDF-style analytical report and share/export study results when needed.
Emotional-state context without pretending to read the mind.
The emotional module is explicitly a software estimate of autonomic-emotional tendencies. It combines regulation components with a valence–arousal map and ranked profiles, which can be useful for controlled observation and repeated measurements.
It is not a psychological or psychiatric diagnosis and does not infer thoughts, intentions or subjective experience.
09 · Peripheral pulse & traditional frameworks
A modern sensor observing an ancient object of attention: the peripheral pulse.
Traditional Ayurvedic and Chinese pulse examinations historically focus on the peripheral pulse rather than the heart's electrical signal. KardioAS P also starts from a peripheral pulse, but measures it optically at the finger and analyzes it algorithmically. That creates an interesting bridge for exploratory interpretation — without claiming that PPG digitally reproduces traditional pulse diagnosis.
Ayurvedic experimental profile
Pulse-derived patterns can be mapped into an exploratory Guna / element / Dosha presentation. The module is designed as an interpretive layer, not a clinical or traditional diagnostic substitute.
TCM experimental profile
The system can present Yin/Yang and Wu Xing balance models derived from pulse-related metrics, making the numerical analysis easier to explore through a traditional conceptual vocabulary.
Important distinction: these Ayurveda and TCM views are experimental software interpretations derived from PPG/PRV features. They are not validated replacements for traditional practitioner pulse examination, and they are not clinical diagnoses. Their value is exploratory: a structured way to view peripheral-pulse data through additional conceptual models.
10 · Reports & longitudinal follow-up
A measurement becomes more useful when you can return to it.
KardioAS P is built around saved patient studies rather than transient dashboard values. Re-open a recording, compare two sessions, follow selected parameters in trends and preserve the analytical context in a structured report.
RegistryPatient-linked saved studies
Before / AfterCompare repeated measurements
TrendsFollow change over time
CalendarNavigate study history
PDF reportStructured analytical output
Share / exportUser-controlled result transfer
11 · Workflow
From finger pulse to saved analytical study.
- 1Place the sensorFit the PPG sensor securely on the finger and keep the hand relaxed.
- 2Connect to AndroidUse the wired sensor connection and open the KardioAS P recorder.
- 3Check the live waveConfirm stable contact and adequate signal quality before relying on analysis.
- 4Record the studySelect the patient and record under calm, reproducible conditions.
- 5Analyse & followOpen morphology, PRV, patterns, profiles, trends, comparison or reporting.
12 · Technical summary
KardioAS P at a glance.
SignalFinger photoplethysmography (PPG)
Measurement sitePeripheral pulse at the finger
Sampling150 Hz PPG in the current workflow
PlatformAndroid
ConnectionWired / USB sensor workflow
Core timingPPI · heart rate · PRV
MorphologyFoot · P1 · Notch · P2
Study toolsRegistry · trends · comparison
ReportsStructured analytical PDF output
Languages8 interface languages
ProcessingOn-device analytical workflow
PurposeFunctional, screening & research-oriented analysis
Frequently asked questions
What buyers usually want to know.
KardioAS P is a peripheral pulse-analysis system. The questions below clarify what it measures, where it is useful and where ECG or clinical evaluation remains necessary.
Is KardioAS P an ECG device?
No. It is a PPG system. It optically measures peripheral blood-volume pulses at the finger. ECG records the electrical activity of the heart. The two signals answer different questions and can be complementary.
Is PRV the same as HRV?
No. PRV is calculated from pulse-to-pulse intervals, while classical HRV is based on ECG R–R intervals. In calm resting conditions they can be close, but they are not physically identical and may diverge under motion, vascular changes or other conditions.
Can the system diagnose atrial fibrillation or other arrhythmias?
KardioAS P can flag screening patterns such as pronounced irregularity or abnormal interval structure, but PPG does not replace ECG confirmation. Persistent or symptomatic rhythm concerns should be assessed with ECG/Holter and professional medical evaluation.
Why is pulse-wave morphology important?
Two recordings can have a similar heart rate but different peripheral wave shapes. Morphology adds information about systolic rise, dicrotic structure, reflected-wave timing and the shape consistency of repeated pulse cycles.
What do the Ayurveda and TCM screens mean?
They are experimental interpretive models derived from PPG/PRV features. They are intended for exploratory and research-oriented viewing of peripheral pulse patterns and are not clinical diagnoses or replacements for traditional practitioner assessment.
How long does a recording take?
The recorder supports an adjustable study timer; a 5-minute session is a practical standard for many variability analyses. Stable, quiet conditions are more important than simply making the recording longer.
Can I compare measurements over time?
Yes. Studies can be saved to a patient registry, reopened, compared before/after and followed through trend and calendar views. Repeating measurements under similar conditions makes longitudinal interpretation more meaningful.
Which languages are available?
English, Lithuanian, Polish, Spanish, German, French, Italian and Russian.
KardioAS Systems
Interested in KardioAS P?
Ask about system availability, the sensor workflow, research use, licensing or collaboration.