Direct desktop acquisition
Record ECG and RR data directly on a compatible PC and continue immediately into detailed analytical modules.
Kardio·AS combines ECG, RR, HRV, morphology, autonomic and respiratory analysis, HRV-derived emotional-state profiling, comparison and longitudinal follow-up in one modular desktop and mobile environment.
A compatible Bluetooth chest sensor connects directly to a PC or smartphone running Kardio·AS. Sensor-specific compatibility information is kept separate from the main product workflow.
Kardio·AS keeps the acquisition path simple: a compatible Bluetooth chest sensor connects directly to the PC or smartphone where the recording and analysis take place. The same analytical logic can then be extended to additional signal sources as the platform grows.
Record ECG and RR data directly on a compatible PC and continue immediately into detailed analytical modules.
Connect the same compatible sensor directly to an Android smartphone for portable recording, local analysis and study management.
The software is structured so future ECG, PPG and synchronized multi-sensor modules can join the same study workflow.
Use the desktop application when screen space and detailed review matter, or work directly on Android when portability is more important. Both environments keep recordings and analytical results tied to the same study logic.
Live ECG, detailed HRV, morphology, spectrum, study comparison, longitudinal trends and structured reporting in an expanded workspace.
Direct Bluetooth recording, live ECG, patient/study registry, on-device analysis, emotional-state profile, comparison and reports on Android.
Connect the chest sensor directly to the PC or smartphone, verify contact and signal quality, record ECG and RR data, save the study and move into analysis without changing the workflow.
Each saved recording can be examined from several complementary perspectives. Conventional HRV and ECG analysis sits alongside autonomic, respiratory and exploratory HRV-derived models without disconnecting the results from the original signal.
Time-domain, nonlinear, Poincaré and spectral analysis for beat-to-beat variability.
Explore module → CVIntegrated functional indices derived from rhythm, variability, regulatory load and adaptive dynamics.
Explore module → RRRhythmogram, irregularity, variability, event patterns and supporting signal context.
Explore module → RSAEstimated breathing rate, respiratory sinus arrhythmia and respiratory-band dynamics.
Explore module → ECGSignal quality, R peaks, QRS, P/Q/R/S/T regions, interval relationships and representative morphology.
Explore module → VAHRV-derived valence/arousal mapping, dominant emotional-state estimation and autonomic context for exploratory analysis.
Explore module → +Ayurvedic HRV and neuroregulatory exploratory profiles derived from physiological variability patterns.
Explore module → ↔Before/after and repeated-study comparison across standard and experimental modules.
Explore module → ↗Calendar-based longitudinal tracking, selectable parameters, study-linked trend points and PDF reporting.
Explore module →These are real Kardio·AS desktop analytical views from example studies. Enlarge any image to inspect the signal, morphology markers and software-derived visualizations in detail.
The morphology view keeps the ECG waveform visible while constructing a representative median beat and marking P, Q, R, S and T points together with P/QRS/T region boundaries when available.
The emotional-state module presents HRV-derived valence/arousal mapping and ranked state probabilities so the software output can be reviewed in context rather than reduced to one word.
This is an exploratory physiological interpretation; it does not directly measure emotion and is not a psychological diagnosis.
Explore Emotional State Profile →Kardio·AS is most useful where a single value is not enough—when the user needs the original signal, several analytical views and the ability to compare change over time.
Compare baseline, load and recovery recordings; follow HRV, rhythm and autonomic response across training or controlled functional protocols.
Preserve reusable ECG/RR studies, inspect conventional and experimental metrics, and export structured results for research-oriented workflows.
Explore variability, regulatory load, respiratory modulation, recovery-related patterns and HRV-derived emotional-state dynamics.
Repeat recordings under comparable conditions, link trends to saved studies and review changes over weeks or months.
Use the original ECG, RR series, morphology and derived metrics together when explaining physiological mechanisms or reviewing a study.
Use non-diagnostic functional and emotional-state profiles as supplementary information in wellness, self-observation and controlled assessment settings.
Move step by step from the raw single-channel trace to R-peak timing, QRS characteristics, P/T regions and interval-related morphology while keeping the original ECG available for review.
Repeated studies can support performance, recovery and controlled physiological assessment workflows where before/after change matters.
Save a recording, reopen it later, compare two sessions and follow selected parameters across time. Trend points can remain linked to the individual study that produced them.
Longitudinal review is built around saved studies rather than isolated numbers, so change can be interpreted together with the original recording and the analytical context.
Core acquisition, processing, study storage and analysis can run locally. Original recordings can remain available for later review while sharing and export stay under user control.
The current chest-sensor workflow is only one acquisition path. The platform is being prepared for finger pulse sensing, pulse-wave morphology, synchronized multi-sensor studies and additional ECG hardware.
Direct connection of compatible Bluetooth chest sensors to desktop or mobile software, with device-specific compatibility documented separately.
PPG / pulse-wave acquisition with dedicated analysis modules, including pulse-wave morphology.
Synchronized acquisition from two physiological sensors within the same study and timeline.
Compatibility modules for new ECG and physiological signal sources, including independently developed hardware.
Kardio·AS is developed as one analytical platform across Windows and Android. Use mobile for portable recording and study review, or desktop for a larger analytical workspace and detailed signal inspection.
Portable recording, local analysis, registry, comparison, Trends & Calendar and PDF reports.
Expanded workspace for detailed HRV, ECG morphology, comparison, trends and structured analytical review.
The Polar H10 sensor is required for the current ECG and RR acquisition workflow and must be purchased separately. It connects directly to the Android device via Bluetooth.
Polar H10 is a third-party compatible sensor. KardioAS™ is an independent product and is not affiliated with, endorsed by or developed by Polar Electro.
Explore the analytical modules, evaluate the Android workflow or contact us about the Windows desktop version.