Longitudinal wearable data, standardized at-home protocols, and a growing pre-screened patient population — available for clinical validation and collaborative research.
The Research Opportunity
The post-COVID dysautonomia surge has created an unprecedented research moment. Centers are overwhelmed with clinical demand, leaving insufficient bandwidth for the large-scale studies the field urgently needs. Zebra changes the equation.
The post-COVID dysautonomia surge has created a research population at scale. But centers are buried in clinical demand and can't run studies at the pace the field needs. Zebra aggregates and standardizes this population outside the clinic.
Consumer wearable hardware has reached the threshold for clinical-grade autonomic signal capture. The Polar H10 delivers 1ms R-R interval precision — sufficient for HRV analysis, baroreceptor sensitivity estimation, and orthostatic response quantification.
Zebra's at-home testing protocols are app-guided and identical across every patient, every session. Orthostatic challenges, Valsalva maneuvers, and extended standing tests follow the same methodology — eliminating inter-operator variability.
Patients can be followed continuously — not just during clinic visits. This enables surveillance-style longitudinal studies that capture day-to-day variability, treatment response, and disease trajectory in ways that single-visit assessments cannot.
Data Sharing & Clinical Validation
Partner with Zebra to validate wearable-based detection methodology against established clinical assessments — tilt table testing, QSART, sudomotor testing, and other gold-standard autonomic evaluations.
Subtype Classification
POTS subtype classification — hyperadrenergic, neuropathic, hypovolemic — remains a major research frontier. Current approaches rely on in-clinic testing that captures a single snapshot and cannot account for day-to-day variability.
Zebra captures longitudinal autonomic signatures that may reveal subtype markers invisible in single-visit assessments. As the dataset grows continuously — more patients, more data points, more statistical power — the potential for phenotype discovery in the autonomic dysfunction space increases with every recording.
Excessive sympathetic drive, catecholamine surges. Longitudinal HRV patterns may expose sympathetic overactivation signatures missed by single tilt-table tests.
Small fiber neuropathy affecting peripheral vasoconstriction. Continuous monitoring may capture subtle autonomic failure patterns during orthostatic stress that correlate with sudomotor testing results.
Reduced blood volume affecting cardiac preload. Longitudinal data across hydration states and times of day may reveal volume-dependent autonomic response variability.
The Dataset
Structured, de-identified, research-ready data captured under standardized protocols with clinical-grade wearable hardware.
| Parameter | Specification |
|---|---|
| Primary Sensor | Polar H10 chest strap (ECG-grade) |
| Data Capture | R-R intervals (1ms precision) + tri-axial accelerometer |
| Protocol: Orthostatic Challenge | 25-minute standardized active stand protocol |
| Protocol: Extended Standing | 35-minute sustained upright posture test |
| Protocol: Valsalva Maneuver | 20-minute guided Valsalva with recovery phases |
| Computed Features | 17 temporal dynamics features per protocol (time-domain, frequency-domain, nonlinear) |
| Position Detection | Gravity angle analysis (>60°, 2s sustained with hysteresis) |
| Health Records | FHIR/health exchange integration (where available) |
| Longitudinal Data | Continuous daily HRV + event-triggered protocol recordings |
| Data Format | Structured, de-identified, research-ready |
Co-Publication Model
Zebra's collaboration model is designed for academic rigor and mutual benefit. We co-author with lab PIs, share credit, and ensure published results both advance the science and validate the screening methodology.
Longitudinal wearable data, standardized protocols, computational analysis infrastructure, and a growing patient population. All data is de-identified and research-ready.
Gold-standard clinical assessment results, diagnostic confirmation, domain expertise in autonomic physiology, and the scientific rigor that peer review demands.
Published findings validate wearable-based screening, establish sensitivity/specificity benchmarks, and contribute to the evidence base for remote autonomic assessment. All parties retain publication rights per standard academic norms.
Clinical Trial Recruitment
Zebra's screening pipeline produces something enormously valuable for clinical trials: patients who are already monitored, profiled, and actively engaged in their diagnostic journey.
Enroll patients based on their autonomic profile: hyperadrenergic, neuropathic, hypovolemic, or mixed phenotypes.
Select patients based on quantified autonomic dysfunction severity, orthostatic response magnitude, and symptom burden.
Recruit patients near your research site or across distributed locations for multi-center studies.
Continuous wearable monitoring enables treatment efficacy tracking as a real-world study endpoint — not just clinic visit snapshots.
Surveillance & Longitudinal Monitoring
After initial screening, Zebra continues to follow patients longitudinally. This ongoing surveillance generates a continuously expanding dataset of real-world autonomic outcomes — data that was previously impossible to collect outside of controlled clinical settings.
Track autonomic function changes after your center initiates treatment. Quantify response to pharmacologic, physical, and behavioral interventions over weeks and months.
Follow autonomic function over months and years. Detect regression, flares, seasonal patterns, or gradual improvement trends with continuous objective measurement.
Every longitudinal recording feeds back into the research dataset. Real-world outcomes data at a scale and resolution that traditional follow-up visits cannot achieve.