Scientific Documentation

Technical Whitepapers

Peer-reviewed research and technical documentation behind Elara Health's evidence-based algorithms and methodology.

Whitepaperv1.0

January 2026

Energy Envelope Theory for Chronic Fatigue Management

A Self-Management Strategy Based on Energy Balance

Based on research by Prof. Leonard A. Jason at DePaul University, this whitepaper documents how the Energy Envelope Theory is implemented in Elara's Recovery Need Score.

ME/CFSPacingEnergy ManagementSelf-Management

Key Findings:

Patients within their energy envelope show better outcomes
Pacing is rated as most helpful strategy by patients
Daily energy logging is a cost-effective intervention

5 peer-reviewed citations

View Details

Whitepaperv1.0

January 2026

Physiological Stress Assessment for Post-Exertional Malaise Risk Prediction

A Multi-Metric Approach Using Wearable Health Data

This technical whitepaper presents a novel algorithm combining HRV, heart rate, and activity data to predict PEM onset 24-72 hours in advance.

PEMHRVWearablesPrediction Algorithm

Key Findings:

Multi-metric approach with weighted aggregation (HRV 50%, HR 30%, Activity 20%)
Correlation with fatigue research (r = -0.40 to -0.60)
24-72 hour predictive window for PEM manifestation

10 peer-reviewed citations

View Details

Source Documentation

The full whitepaper source files are maintained in Markdown format for version control and collaborative editing. These documents serve as the authoritative source for our scientific methodology.

/content/whitepapers/energy-envelope-theory.md/content/whitepapers/pem-risk-prediction.md

For research inquiries or collaboration opportunities:

frederik@elara-health.de

Last updated: January 2026

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Scientific Documentation

Technical Whitepapers

Peer-reviewed research and technical documentation behind Elara Health's evidence-based algorithms and methodology.

Whitepaperv1.0

January 2026

Energy Envelope Theory for Chronic Fatigue Management

A Self-Management Strategy Based on Energy Balance

Based on research by Prof. Leonard A. Jason at DePaul University, this whitepaper documents how the Energy Envelope Theory is implemented in Elara's Recovery Need Score.

ME/CFSPacingEnergy ManagementSelf-Management

Key Findings:

Patients within their energy envelope show better outcomes
Pacing is rated as most helpful strategy by patients
Daily energy logging is a cost-effective intervention

5 peer-reviewed citations

View Details

Whitepaperv1.0

January 2026

Physiological Stress Assessment for Post-Exertional Malaise Risk Prediction

A Multi-Metric Approach Using Wearable Health Data

This technical whitepaper presents a novel algorithm combining HRV, heart rate, and activity data to predict PEM onset 24-72 hours in advance.

PEMHRVWearablesPrediction Algorithm

Key Findings:

Multi-metric approach with weighted aggregation (HRV 50%, HR 30%, Activity 20%)
Correlation with fatigue research (r = -0.40 to -0.60)
24-72 hour predictive window for PEM manifestation

10 peer-reviewed citations

View Details

Source Documentation

The full whitepaper source files are maintained in Markdown format for version control and collaborative editing. These documents serve as the authoritative source for our scientific methodology.

/content/whitepapers/energy-envelope-theory.md/content/whitepapers/pem-risk-prediction.md

For research inquiries or collaboration opportunities:

frederik@elara-health.de

Last updated: January 2026