Usable data

With harmonized pipelines

Device onboarding

Fast

BYOD or provisioned + SIM

Signal to insight

Near-real-time

QC + alerts + workflows

Digital measures built for clinical trials

Digital Measures for Clinical Trials Powered by Wearables

Transform raw sensor signals into standardized, endpoint-ready measures. Harmonize every device, operationalize every workflow, and generate continuous evidence—backed by human support that protects compliance and data quality.

ECG
HR
SpO₂
ACT

Digital Measures Pipeline

Device → QC → Harmonize → Endpoint

Ingest: multi-device streams (wearables + sensors)
QC rules: detect gaps, sync failures, and outliers in near-real time
Endpoint-ready outputs: standardized metrics aligned to protocol definitions
Compliance protected Human outreach when devices fail or tasks slip

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
Digital measures overview

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.

40+

Countries Supported

95%

Device Uptime

3,500+

Devices Provisioned

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.

Digital endpoint R&D pipeline

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
Operationalizing wearables at scale

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 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

FDA DHT guidance Digital Health Technologies for Remote Data Acquisition (2024 final)
DiMe V3 framework Verification, Analytical Validation, Clinical Validation
ICH E6(R3) Data integrity, attributability, version control
21 CFR Part 11 Electronic records and signatures
Request the full algorithm validation pack See real-time compliance scoring →

Unified Clinical Dashboard

Endpoints, ePRO, and wearable signals combined into one clinical command center.

Delve analytics dashboard

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.

95%

Device compliance

87%

Retention at 6 months

63%

Higher engagement vs. site-only workflows

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.

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.

2026 Comparison

Best Wearable Platforms for Clinical Trials

The full landscape, scored on what actually decides endpoint quality.

Framework

How to Compare Wearable Platforms

The dimensions that decide endpoint quality — use it to compare any two platforms.

Head-to-head

All 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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