For clinicians
Doctor Portal
Access cardiac rhythm research workspaces for reviewing patient-shared records, longitudinal trends, and analysis results.
Open Doctor PortalResearch use only. Not for clinical decision making.
Cardiac rhythm analytics by CardiaForge
CardiaForge is the cardiac research platform for rhythm science.
CardiaForge supports research into cardiac rhythm patterns using RR intervals, wavelet analysis, and longitudinal comparison across controlled study environments.
The platform is built for exploratory analysis, patient-clinician collaboration, and reproducible cardiac data review.
Access is limited to authorized users and participating organizations.
Research-first cardiac rhythm analysis with a clear boundary from diagnosis or treatment decisions.
Dedicated access paths for clinicians and participants working with the CardiaForge research platform.
Designed for secure, organization-aware deployments where cardiac data remains under controlled access.
Platform focus
Rhythm research
CardiaForge helps researchers explore rhythm variability, wavelet-derived features, and changes across time.
Access
CliniciansParticipants
Separate portal experiences support the needs of care teams, researchers, and study participants.
Entry points
Choose the portal you need.
CardiaForge provides separate entry points for clinicians and participants, with access governed by the organization or study context.
For participants
Patient Portal
Manage research participation, upload supported cardiac data, and review exploratory rhythm-analysis results.
Open Patient PortalResearch framing
Built around RR intervals, wavelets, and longitudinal insight.
CardiaForge is a research platform first. The work centers on transparent, repeatable analysis of RR intervals and wavelet-derived cardiac features.
RR-first analysis
CardiaForge focuses on RR intervals as the compact signal foundation for scalable HRV and wavelet research.
Wavelet-driven insight
DWT, CWT, WPT, SWT, and related outputs expose time-frequency structure that simple averages miss.
Research-use only
Exploratory outputs are presented with a clear boundary from clinical diagnosis or treatment decisions.
Signal imagery
Visualizing cardiac signals across time and frequency.
Every analysis produces a continuous wavelet scalogram alongside HRV metrics and the underlying RR-interval signal — the same result surface clinicians and researchers review inside the portals.
CardiaForge · Record examples
MIT-BIH 101
Mean HR 68.3 bpm
MIT-BIH 102
Mean HR 73.2 bpm
MIT-BIH 16272
Normal Sinus Rhythm
Mean HR 56.6 bpm
SDDB 35
Atrial fibrillation
Mean HR 76.7 bpm
MIT-BIH 101
· first 300 s
HRV summary
9.7msRMSSDVagal tone
32.6msSDNNOverall HRV
68.3bpmMean HRAverage
0.24LF/HFSympatho-vagal
CWT scalogram
ECG
RR interval signal (337 points, ms)
Example output computed by CardiaForge from MIT-BIH Arrhythmia Database, record 101, first 300 s. Continuous wavelet transform (Morlet). Research use only.
MIT-BIH 102
· first 300 s
HRV summary
15.7msRMSSDVagal tone
31.0msSDNNOverall HRV
73.2bpmMean HRAverage
0.08LF/HFSympatho-vagal
CWT scalogram
ECG
RR interval signal (366 points, ms)
Example output computed by CardiaForge from MIT-BIH Arrhythmia Database, record 100, first 300 s. Continuous wavelet transform (Morlet). Research use only.
MIT-BIH 16272
Normal Sinus Rhythm · 45-50 minutes or recording
HRV summary
8.6msRMSSDVagal tone
27.2msSDNNOverall HRV
56.6bpmMean HRAverage
0.31LF/HFSympatho-vagal
CWT scalogram
ECG
RR interval signal (277 points, ms)
Example output computed by CardiaForge from MIT-BIH Normal Sinus Rhythm, record 16272, 45-50 minutes or recording. Continuous wavelet transform (Morlet). Research use only.
SDDB 35
Atrial fibrillation · 5-10 minutes recording
HRV summary
65.9msRMSSDVagal tone
125.2msSDNNOverall HRV
76.7bpmMean HRAverage
0.15LF/HFSympatho-vagal
CWT scalogram
ECG
RR interval signal (378 points, ms)
Example output computed by CardiaForge from Sudden Cardiac Death Holter Database, record 35, 5-10 minutes recording. Continuous wavelet transform (Morlet). Research use only.
Contact
Explore CardiaForge research and partnership opportunities.
CardiaForge focuses on research infrastructure for RR-interval analytics, wavelet-based feature extraction, and cardiac rhythm exploration.