Making Sense of Physiological Signals

PhysioSense transforms waveform and sensor data into interpretable physiological intelligence for earlier, more actionable detection of physiological change.

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Underlying Technology

The Signal Has Always Been There. We Decode It.

PhysioSense translates waveform morphology and dynamics into real-time insights across the vascular system and organs.

PhysioSense Waveform Decoding
01
Where the Signal Comes From
Any pulse-bearing sensor source
Patient Monitors
Bedside PPG finger probes and arterial blood pressure lines (ABP) — ICU-grade signal from existing hardware.
Smartphone Camera (rPPG)
Remote PPG from finger or face. No contact, wearable, or additional device required.
Wearables
Smartwatch sensors, adhesive patches, consumer fitness hardware — any PPG-capable device.
Optionally Fused With
ECG
Single or multi-lead, used standalone or fused with PPG for richer multimodal physiological analysis.
Capnography (CAP)
End-tidal CO₂ and respiratory waveform data, used as a complementary modality for richer multimodal physiological interpretation.
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02
What the Waveform Encodes
Mechanistic interpretation — not pattern matching

Conventional measurements extract only threshold-level features — heart rate, SpO2. The waveform’s shape carries far more information, with meaningful physiological state encoded in the morphology of every beat.

PhysioSense performs patent-pending kinetic decomposition of the full waveform — extracting mechanistic vascular phenotype descriptors that reflect the underlying state of the arterial system, not learned statistical correlations alone.

These waveform-derived descriptors can also be fused with complementary modalities—including ECG, capnography, and other physiological signals—to support richer multimodal interpretation when available.

Patent-pending  ·  Mechanistic  ·  Interpretable
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03
What Our Research Has Explored
The vascular system as a source of broader physiological insight
Acute Conditions
  • Sepsis & SIRS
  • Hemorrhage & hypovolemia
  • Shock (septic, hemorrhagic, cardiogenic)
  • Traumatic brain injury
  • Burns
Chronic & Systemic
  • Vascular aging
  • CHF, CKD, diabetes & metabolic syndrome
  • Cognitive decline & neurovascular state
  • Cardiopulmonary
Dynamic Tracking
  • Medication response
  • Fluid resuscitation monitoring & titration
  • Intervention response signatures
  • Physiological recovery & prognosis trajectory
Want a deeper look at the platform? Explore our technology page for more detail on signal sources, mechanistic interpretation, and deployment options.
Learn more about our technology
Research Use Only (RUO) — Detection capabilities described reflect investigational research findings and have not been cleared by the FDA for diagnostic or therapeutic use.
What We Enable

New Ways to Monitor, Track, and Respond
to Physiological Change

PhysioSense works with partner teams to combine deep physiological signal expertise with domain-specific knowledge—creating new monitoring, tracking, and decision-support capabilities that conventional vital signs alone cannot provide.

For Payers & Health Systems

Remote Member Monitoring — Without New Hardware

A 30-second pulse reading from a smartphone delivers a composite physiological assessment — enabling chronic disease monitoring, vascular risk stratification, and proactive member outreach without requiring clinical visits or additional devices. Deployed across payer member programs, care management, and employer wellness platforms.

Deployed via PulseVu
For ICU & Critical Care Teams

See Deterioration Before the Monitor Alarms

Continuous waveform-derived trajectory mapping shows where a patient’s physiology is heading — not just where it is. Vascular state changes surface before they register in conventional vital signs, giving care teams a meaningful window to act before deterioration becomes a crisis requiring emergency response.

Deployed via Vascular Radar
For Device Makers & Health Tech

Add Physiological Intelligence to What You’re Building

Embed PhysioSense waveform processing and mechanistic outputs into your existing device, platform, or analytics stack — adding a physiological intelligence layer that wasn’t previously available from off-the-shelf sensor data. REST API, physiological embeddings, and native SDK for edge and cloud deployment.

via APIs, Embeddings & SDK

When the application doesn’t yet exist — we work alongside your organization to build what’s needed, combining signal science with your domain expertise and clinical context.

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Industries

Industries We Serve

The PhysioSense platform is broad enough to serve enterprise, clinical, scientific, and translational partners — while each deployment is tailored to the specific organization’s signals, workflows, and outcomes.

Health Plans

Signal-enabled member programs, risk stratification, and proactive care management — deployed via PulseVu or embedded API.


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Pharmaceutical

Mechanistic drug response tracking, study enrichment, patient stratification, and longitudinal physiological phenotyping for clinical programs.


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Patient Monitoring

Next-generation waveform interpretation layers and product differentiation for ICU and hospital-grade monitoring systems.


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Wearable Companies

Advanced physiological insights extending sensor value beyond standard vitals.


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Research & Academia

Translational research models, analytics infrastructure, and collaborative programs for government funded and institutional science efforts.


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Defense & Gov’t

Physiological monitoring for operational health, combat casualty care, and non-invasive field-deployable assessment programs.


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Partnerships

Built for Collaboration

PhysioSense can engage through multiple partnership models — each tailored to the partner’s product stage, clinical context, and commercialization path. We are the explainable physiology and waveform intelligence layer within your program.

Signal Intelligence Advisory — opportunity mapping, program design, and technical strategy for healthcare organizations exploring the ROI of physiological signal data. An ideal starting point for payers, pharma, and device companies evaluating where signals unlock value.
Pilot Programs — focused feasibility studies to validate PhysioSense intelligence in your specific population, claims cohort, or clinical workflow. Structured 8–12 week sprints with clear go/no-go milestones.
Technology Licensing — platform components, models, and IP for integration into partner products, EHRs, or analytics platforms.
Co-Development — joint development of clinical or enterprise applications built on PhysioSense infrastructure, co-owned IP pathways available.
Translational Research — collaborative programs with academic, government, and clinical institutions. NIH and DOD funding-compatible.
Example Collaboration Paths

Illustrative ways organizations can work with PhysioSense across payer, clinical development, and device programs.

Health Insurer

Deploy PulseVu to support population health initiatives for complex cohorts. Vascular embeddings provide additional context for longitudinal tracking, helping care teams prioritize outreach and support clinical management goals.

Pharmaceutical

Non-invasive physiological phenotyping to enrich clinical trial populations, visualize physiological trends post-administration, and characterize mechanistic shifts in vascular state — particularly where waveform-derived biomarkers add precision.

Wearable / Device

Embed PhysioSense signal intelligence into existing PPG-capable devices to unlock physiological descriptors beyond heart rate and SpO2 — differentiated features that justify premium positioning and enterprise channel strategies.

Leadership

Deep Domain Expertise

PhysioSense is led by executives with deep experience spanning physiological signal processing, AI/ML, multimodal sensing, FDA-regulated medical devices, translational research, product strategy, and commercialization.

John Jedziniak
John Jedziniak
CEO / CTO
John Jedziniak is a technology and product strategy leader with deep experience in physiological signal processing, medical devices, and FDA-regulated product development. Most recently, as CTO of Impact Vitals, he led advanced physiological monitoring programs and served as Principal Investigator on a multi-year U.S. Army-funded research effort involving large human studies. Earlier in his career, he held leadership roles in management consulting, product strategy, and product development, including Deloitte and Symphony Teleca, and has supported healthcare and MedTech organizations including Amgen, Medtronic, and Quidel.
Former CTO, Impact Vitals PI, U.S. Army-funded research Deloitte & product strategy leadership Product Development Co-author/Presenter, IEEE EMBC Multiple FDA Devices Multiple patents & pending patents
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Abhishek Jaiantilal
Abhishek Jaiantilal, PhD
Chief Science Officer
Abhishek Jaiantilal, PhD, is an AI/ML and physiological signal processing leader with more than a decade of experience developing healthcare and wearable technologies. At Impact Vitals, he advanced from software engineering through senior and principal data science roles, led core algorithm development across PPG-based monitoring programs, and served as Principal Data Scientist on major human studies, including the U.S. Army-funded trauma and simulated blood-loss research program. He has contributed to multiple FDA-cleared physiological monitoring technologies, co-authored the IEEE EMBC paper on variational autoencoders for PPG modeling, and co-authored the PhysioSense provisional patent portfolio.
PhD, Computer Science Principal Data Scientist, Impact Vitals 3 FDA-cleared device programs Co-author, IEEE EMBC paper Multiple patents & pending patents
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