Usable data
↑
With harmonized pipelines
Device onboarding
Fast
BYOD or provisioned + SIM
Signal to insight
Near-real-time
QC + alerts + workflows
Digital Measures Pipeline
Device → QC → Harmonize → Endpoint
From Sensors to Submissions
Sponsors don’t just need wearables—they need digital measures designed for accuracy, reproducibility, and clinical relevance.
Delve converts multi-device signals into standardized metrics and validated digital endpoints, aligned to study definitions and operational reality across hybrid and decentralized trials.
- Fit-for-purpose digital endpoint development
- Correlation to gold standards
- Algorithm training & verification pathways
- Regulatory-aligned study documentation & traceability
Wearable Modalities Supported
Fit-for-purpose device strategies aligned to endpoint sensitivity, patient burden, and operational feasibility.
Activity & Mobility
Steps, gait proxies, activity tolerance, functional change.
Cardiovascular
HR, HRV, ECG (device-dependent), blood pressure.
Respiratory
SpO₂, respiratory rate, symptom-linked physiology.
Sleep
Duration, efficiency, staging where supported.
Metabolic
CGM, weight scales, longitudinal trend analysis.
Temperature & Vitals
Skin temperature and longitudinal vital trends.
Device Integration & Signal Harmonization
Connect any wearable or sensor, harmonize signals into a consistent clinical model, and keep data clean with automated QC.
Universal Device Compatibility
Connect medical wearables, consumer sensors, cellular devices, or BYOD—all in one platform.
Real-Time Signal Harmonization
Normalize HR, HRV, SpO₂, sleep, steps, and respiratory data into a consistent clinical data model.
Automated QC & Signal Integrity
Detect outliers, missing samples, device drift, timestamp errors, and physiological anomalies.
Open Endpoint APIs
Export harmonized endpoints directly to EDC, analytics pipelines, or regulatory submission packages.
Digital Endpoint R&D Pipeline
Delve is building a defensible pipeline for digital endpoints and AI-enabled study operations—focused on making sensor data submission-grade and operationally reliable in the real world.
- Stage 1: Device ingestion + telemetry + QC (in production)
- Stage 2: Signal harmonization and measures library (in production / expanding)
- Stage 3: Endpoint validation packs (active: gold-standard correlation + reproducibility)
- Stage 4: AI-assisted protocol mapping & risk flags (active)
- Stage 5: Post-market and real-world evidence workflows (roadmap)
This approach supports cardiovascular, oncology, metabolic, respiratory, and chronic disease programs— and extends evidence generation across the full lifecycle.
The Wearables Reality No One Talks About
Digital measures fail not because the sensors fail— but because no one operationalizes the devices.
Patients forget to charge devices. Sites are overwhelmed. CROs lack playbooks. Data gaps grow quietly.
Delve steps in with automation + real human follow-up so every wearable actually works in the real world.
- Missed sync detection & human outreach
- Battery, connectivity & signal monitoring
- Device troubleshooting & onboarding
- Site workflows & escalation paths
- Global multilingual support
Digital Endpoints & Real-Time Clinical Insights
Transform raw sensor data into validated digital endpoints with live visibility into patient status, signal quality, and clinical trends.
Validated Algorithms
Gait speed, step quality, HR/HRV, sleep staging, SpO₂ trends, respiratory rate, and more.
Regulatory-Ready Digital Endpoints
Developed using correlation, training, verification, and FDA-aligned methodologies.
Live Endpoint Dashboards
Monitor patient status, signal stability, algorithm outputs, and longitudinal trends.
Endpoint + ePRO Fusion
Combine symptoms, diaries, and objective measures into unified digital outcomes.
Validated Algorithm Library
70+ validated algorithms across six modalities
Delve's algorithm library converts raw wearable and digital health signals into validated, audit-grade endpoints. Every algorithm is documented, version-controlled, and aligned with FDA Digital Health Technology guidance, the Digital Medicine Society's V3 validation framework, and ICH E6(R3) data integrity expectations.
ECG & cardiac
15- Heart rate
- SDNN (HRV)
- pNN50
- RMSSD
- P-wave detector
- QRS morphology analyzer
- QT interval
- T-wave detector
- PR interval
- ST segment analyzer
- CV% of RR intervals
- QRS estimator
- AFib burden
- AFib episodes
- Average HR during AFib
Glucose & CGM
10- High Blood Glucose Index (HBGI)
- Low Blood Glucose Index (LBGI)
- M-value
- GRADE
- Glucose Management Indicator (GMI)
- J-index
- CONGA
- Time Above Range (TAR)
- Time in Range (TIR)
- Time Below Range (TBR)
Activity & movement
19- Running cadence
- Walking cadence
- Running stride length
- Walking stride length
- Stride length estimator
- Running distance
- Walking distance
- MVPA (moderate-vigorous activity)
- Sedentary minutes
- Activity bouts detector
- Activity classifier
- Step detector
- ENMO calculator
- METs calculator
- Active energy burned
- Basal energy burned
- M10 / L5 RA
- Intradaily Variability
- Interdaily Stability
Sleep & circadian
3+- M10 / L5 Relative Amplitude
- Intradaily Variability (sleep)
- Detrend signal
- Plus configurable sleep staging
Frequency & signal
8- PSD calculator (power spectral density)
- FFT magnitude calculator
- Spectrogram calculator
- Butterworth Lowpass filter
- Butterworth Highpass filter
- Butterworth Bandpass filter
- Butterworth Bandstop filter
- Notch filter
General purpose & QC
22- RMS calculator
- Signal energy
- Peak-to-peak
- Zero-crossing rate
- Standard deviation
- Coefficient of variation
- Array min/max
- Array average
- Interpolate missing values
- Normalize signal
- Median filter
- Moving average filter
- Savitzky-Golay filter
- Detect outliers Z-score
- Outlier detection MAD
- Change point detection (PELT)
- Walking speed
- Running speed
- Walking asymmetry
- Running asymmetry
- Walking variability
- Running variability
Aligned with the frameworks regulators and sponsors use
Unified Clinical Dashboard
Endpoints, ePRO, and wearable signals combined into one clinical command center.
Engagement & Compliance Engine
Compliance is not a reminder problem. It’s an operational one. Delve combines automation with human intervention to keep studies on track—continuously.
Human Concierge Support
Onboarding, troubleshooting, reminders, and missed sync recovery.
Automated Issue Detection
Hardware failures, low battery, connectivity loss—caught instantly.
Closed-Loop Compliance
Automated triggers plus human outreach ensure continuous evidence collection.
95%+ Compliance
Industry-leading adherence across global, multi-device clinical studies.
Validation, Deployment & Global Scale
Digital measures only matter if they are defensible, deployable, and supported at scale. Delve operationalizes validation, global device logistics, and around-the-clock study support.
FDA/EMA Aligned
Fit-for-purpose validation and reproducibility checks for digital submissions.
Provisioning & Logistics
Shipping, SIM activation, returns, replacements, and inventory management.
BYOD + Medical-Grade
Support for both patient-owned and sponsor-provided wearables.
24/7 Global Support
Technical, patient-facing, and site support teams available worldwide.
Frequently asked questions
Wearables and digital measures for clinical trials
How does Delve turn wearable data into a clinical trial endpoint?
Delve runs 70+ validated digital-endpoint algorithms across 25+ devices on one harmonized data layer, then applies signal quality control to confirm the data is complete and usable. Raw sensor signal becomes a defensible digital measure rather than an unvalidated data feed.
Which wearable devices and modalities does Delve support for clinical trials?
Delve supports 100+ device and sensor types across modalities including ECG, glucose (CGM), activity, sleep, respiratory, and cardiovascular signals, via BYOD, provisioned, cellular, and non-app devices, so data collection does not depend on a participant managing an app.
How does Delve protect wearable signal quality and wear-time?
An active signal quality control layer validates completeness, flags drift, and catches sync failures before data is lost, while Concierge-as-a-Service recovers wear-time in 120+ languages before participants disengage. Around 95% device compliance is sustained with this human-supported model.
Can Delve run wearables alongside eCOA and ePRO in the same study?
Yes. Delve unifies wearable data with eCOA/ePRO, analytics, and concierge support in one platform, so wearable signal and patient-reported outcomes are managed together rather than across separate vendors.
Comparing wearable platforms?
Honest, side-by-side evaluations for clinical operations teams choosing a wearable platform — scored on signal quality, validated algorithms, wear-time, and execution.
Best Wearable Platforms for Clinical Trials
The full landscape, scored on what actually decides endpoint quality.
FrameworkHow to Compare Wearable Platforms
The dimensions that decide endpoint quality — use it to compare any two platforms.
Head-to-headAll Platform Comparisons
Delve vs every major eCOA, DCT, and wearable platform, side by side.
See How Digital Measures Transform Your Study
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