Why these tools exist
Over three and a half decades of clinical practice — from musculoskeletal rehabilitation through cardiopulmonary care — one pattern kept repeating: patients who wanted, and needed, to track their own functional and cardiac progress between visits, and simply couldn't. Travel limitations, age, distance from care, and the everyday difficulty of accessing healthcare on their own schedule all stood in the way of something that should be simple — knowing, today, roughly where you stand.
The apps on this site are an attempt to close a small part of that gap, using hardware people already carry. The vision driving them:
- Early awareness. Someone with no diagnosed cardiac condition, tracking heart rate, HRV, and autonomic balance over time, may notice a meaningful trend well before it becomes a crisis — and be prompted to see a clinician sooner rather than later.
- Objective language for stress. Many people know they're under strain but have no vocabulary or number to describe it to a clinician, a coach, or even themselves. A consistent, repeatable measurement gives that experience a shape.
- A model worth exploring for care teams. Some clinics, particularly in the US, already let patients track cardiovascular and stress metrics daily through a monitored subscription program the clinic can review. It's an approach I find genuinely promising, and one reason these tools are built to a standard thorough enough to be worth that kind of exploration in the future — though today, every app here is an independent, self-directed wellness tool, not a connected or clinically monitored service.
Where things stand today
None of the apps on this site are medical devices, none are FDA cleared, and none are validated against clinical-grade equipment. They're built with real signal-processing rigor and clinical framing in mind, but they are wellness tools for personal awareness — not diagnostic instruments, and not a substitute for seeing a clinician. See the Privacy Policy for more on exactly what each app does and doesn't do with your data.
How they're built
Each app is human-directed and AI-accelerated: I define the clinical framing, the signal-processing approach, and what a result should honestly claim and not claim — then work with AI coding tools (Claude, specifically) to implement, test, and refine the actual code far faster than I could writing it line by line alone. Every algorithm is checked against synthetic data with a known, correct answer before it ships, and then tuned again against real-device testing, because the two don't always agree — real hardware has a way of surfacing problems a clean simulation doesn't.
That process — direction and clinical judgment from me, implementation speed from AI tooling, validated the same way any measurement tool should be — is what "AI-assisted" means on this site. It is not a claim that these tools built themselves.
What's next
More tools are planned in the same spirit — assessment, functional diagnosis, and rehabilitation-adjacent wellness tracking, particularly in musculoskeletal and cardiopulmonary domains where I've spent most of my clinical career. If there's a specific capability you'd find useful, or a clinical use case worth exploring together, reach out via the Contact page.