50 scientific modules that turn your Apple Watch into a clinical and sports analysis tool. Clinically validated, 100% on-device data, no subscription.
CSD agreement for clinical validation under the direction of the Cardiology Unit at the Sports Medicine Centre.
Deputy Directorate General for Sports Sciences · March 2026Dr. Carlos Escobar (cardiologist at Hospital Universitario La Paz, President of Clinical Cardiology at the SEC) as CSO and co-lead of algorithmic design.
Journal of Clinical Medicine · EACD Bruges 2024SpO₂ ARMS 1.97% (FDA limit ≤3.5%). ECG sensitivity 98.5%. Hypertension validated vs 30-day ABPM (February 2026). Independent AI validation (Gemini 2026).
Two-phase observational design · Controlled environment + real-world conditionsAvailable globally since 25 March 2026. 10 languages: ES · EN · DE · FR · IT · ZH · JA · RU · AR · HE · PT. 100% on-device. No backend. No cloud.
iOS 16+ · watchOS 9+ · 72.4 MB · Free · No in-app purchasesRecent improvements backed by science.
Step-by-step Apple Watch setup with 40 HealthKit permissions guided. Hormonal inference for both sexes. 30-trigger alerts engine with medical emergency detection. B2B community via QR code. 10 native languages.
April 2026 · ScoringManager v9 · AlertsEngine v9
Your body learns your patterns in 30 days. Individualised Z-scores for HRV, sleep and training load.
30-day calibration
AI-based injury risk detection using ACWR (Gabbett 2016) and HRV signals.
Gabbett 2016, BJSM
Official launch with 50 validated modules: HRV, biological age, CV risk, AFib screening, and 46 more.
Hospital La Paz team
Three professional roles. FHIR R4 export. AI-generated SOAP notes. Multi-athlete dashboard.
HL7 FHIR standard
This is the real app, already on the App Store. Swipe to see all screens.
Grouped by discipline. Each one backed by peer-reviewed literature.
Full LF/HF analysis per Task Force 1996. Sympathetic-parasympathetic autonomic balance.
Task Force ESC/NASPE 1996
Continuous screening based on IRNF. 98.3% sensitivity per Apple Heart Study.
Perez et al., NEJM 2019
Framingham + ACC/AHA 2019. Cardiac age calculated automatically.
ACC/AHA Guidelines 2019
Acute:chronic workload ratio (Gabbett 2016). Automatic alert when ACWR >1.5.
Gabbett 2016, BJSM
Performance simulator with τ₁=15d fatigue and τ₂=45d fitness. Busso 2003 extended.
Banister 1975, Busso 2003
Cumulative tracking vs personal target. Correlated with performance drops.
Stanford Sleep Medicine
Daily 0-100 combining HRV, resting heart rate, sleep quality and recent load.
Proprietary validated algorithm
Levine 2018 method from HRV, resting heart rate, VO₂ Max and sleep.
Levine PhenoAge 2018
Detection of physiological changes up to 9 days before symptoms (Mishra 2020).
Mishra et al., Stanford 2020
Autonomic nervous system status. Early indicator of chronic stress and burnout.
Task Force 1996 · Thayer 2012
Plus 40 more modules tailored to each discipline.
Athletes, doctors and coaches with specialised views designed for their real workflow.
Complete performance dashboard with Readiness, training load, HRV prediction and all health modules.
FREEClinical view with population percentiles, OTS score, complete history and AI-generated SOAP notes. FHIR R4 export.
FREEMulti-athlete dashboard with automatic ACWR alerts, HRV history per athlete and team AI Coach. Load planning.
FREEThe first health app clinically validated by Spain's National Sports Council (CSD) in collaboration with Hospital Universitario La Paz.
Cardiologist · Hospital Universitario La Paz
CSO and co-lead of algorithmic design. President of Clinical Cardiology at the Spanish Society of Cardiology (SEC). Over 450 articles published in peer-reviewed journals.
Ministry of Education · Government of Spain
Agreement for clinical validation · March 2026. Under the direction of the Cardiology Unit at the Sports Medicine Centre, with real athletes in official study.
Madrid Health Service · National reference centre
Multidisciplinary clinical team. Cardiologists, epidemiologists and sports medicine specialists collaborate on algorithm design.
Direct comparison against the wearables setting the biohacking trend.
| Feature | MyEliteHealth | WHOOP | Oura | Garmin |
|---|---|---|---|---|
| Price | Free · On-device | €19/month | €299 + €6/month | €399+ |
| Required hardware | ✗ Only Watch | ✓ Band | ✓ Ring | ✓ Watch |
| On-device data | ✓ 100% | ✗ Cloud | ✗ Cloud | Partial |
| Monthly subscription | Never | Mandatory | Optional | No |
| AFib screening | ✓ | ✗ | ✗ | ✗ |
| Spectral HRV (LF/HF) | ✓ | ✗ | ✗ | ✗ |
| Banister Model | ✓ | ✗ | ✗ | ✗ |
| Cardiovascular risk | ✓ | ✗ | ✗ | ✗ |
| Biological age | ✓ | ✗ | Partial | ✗ |
| Injury prevention | ✓ | ✗ | ✗ | ✗ |
| 3D Digital Twin | ✓ | ✗ | ✗ | ✗ |
| Conversational AI Coach | ✓ LLaMA 3.3 | ✗ | ✗ | ✗ |
| Medical Mode (FHIR + SOAP) | ✓ | ✗ | ✗ | ✗ |
| Multi-athlete Coach Mode | ✓ | Paid | ✗ | Paid |
| Institutional backing | ✓ CSD + SEC + La Paz | ✗ | ✗ | ✗ |
* Pricing and features approximate according to public information as of April 2026.
If you already own an Apple Watch, your real alternatives aren't WHOOP or Oura. They're these apps. Here's how we compare.
| Feature | MyEliteHealth | Athlytic | Bevel | Welltory |
|---|---|---|---|---|
| Price | Completely free | ~$30/year (sub) | Free + AI ~$50/year | Free + Premium |
| Scientific modules | 50 | ~8-10 | ~12 | HRV + stress |
| 100% on-device data | ✓ | ✓ | Partial | ✗ Cloud |
| 3D Digital Twin | ✓ | ✗ | ✗ | ✗ |
| Spectral HRV (LF/HF) | ✓ | ✗ | ✗ | Partial |
| Banister Model / Busso VDR Simulator | ✓ | ✗ | ✗ | ✗ |
| Medical Mode (SOAP + FHIR R4) | ✓ | ✗ | ✗ | ✗ |
| Multi-athlete Coach Mode | ✓ | ✗ | ✗ | ✗ |
| Epigenetics + injury prevention | ✓ | ✗ | ✗ | ✗ |
| Institutional health backing CSD + Hospital La Paz (Cardiology SEC) |
✓ CSD + SEC + La Paz | ✗ | ✗ | University collaborations |
* Pricing and features approximate as of April 2026, based on public information from each app. Welltory collaborates with universities (Harvard, ASU, JHU) on academic research; MyEliteHealth is backed by the Spanish National Sports Council and an active clinical team within the Spanish National Health System.
Your Apple Watch already captures the data. MyEliteHealth turns it into scientific knowledge about you.
Apple Watch continuously records over 50 physiological signals. HRV, heart rate, temperature, movement, sleep.
Peer-reviewed scientific algorithms process your data locally. No server, no cloud, no sharing.
On-device AI with LLaMA 3.3 turns analyses into personalised explanations. You choose the depth.
Export FHIR R4 reports to your doctor. Automatic SOAP notes for specialists. Or keep it private.
The first official ratings of the app. All 5 stars.
The best sports-linked app I've ever had.
A wonderful regulatory app — it's amazing everything it can analyse and prevent.
No subscription. No in-app purchases. No ads. Our value proposition does not depend on you.
/ forever
No credit card. No trial period. No tricks.
Joint director. Founding partner. Strategy, product and international expansion. Journal of Clinical Medicine · Speaker at EACD Bruges 2024.
WhatsApp: +34 600 03 93 85Joint director. Cardiologist at Hospital Universitario La Paz. President of Clinical Cardiology at the SEC. Over 450 articles published.
SciProfiles →Technical lead of the product: iOS/watchOS architecture, on-device processing, alerts engine and Personal Biometric Signature system. Ensures the entire platform runs without sending a single byte to the cloud.
Explore the 50 modules →Download MyEliteHealth for free. No subscription, no ads, no excuses. In seconds your Apple Watch starts giving you information it doesn't have today.
Free · iOS 16+ · watchOS 9+ · No subscription · 100% on-device data