NIH-funded research Sbir 2 grant

LemurDx: smarter wearables to measure hyperactivity in children with ADHD

Official title: Using Machine Learning and Sensing to Contextualize Hyperactivity Measurement on Wearable Devices

Funded at Nurelm E-Business Software · NIH-11399105 · Data updated 2026-11-12

A new software system uses smartwatch data and smart algorithms to measure hyperactivity in kids with ADHD to help doctors understand how they respond to medications.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionNurelm E-Business Software
NIH-funded
Lab location1 site (Pittsburgh, United States)
Project startAugust 15, 2024
Project endAugust 14, 2027
Funding year2026
Award (this year)$587,897
NIH project number5R44MH138145-03
Project IDNIH-11399105 on NIH RePORTER

Who could benefit from this research

Could help

Children around 6 years old with ADHD who participate in ADHD medication trials and can wear a smartwatch.

Less likely to help

Children who do not use medications or cannot wear a smartwatch may not benefit from this approach.

What this research studies

This project uses a wearable sensor system called LemurDx to passively collect smartwatch data and apply machine learning to understand activity in different settings, like classroom or playground. It aims to provide an objective, rapid feedback loop for clinicians during ADHD medication trials, potentially improving titration decisions. The work focuses on children with ADHD and tests changes in hyperactivity on days they are on versus off medication, in both standardized and real-life environments.

Why it matters

Potential benefit: If successful, LemurDx could make ADHD treatment more precise by giving clinicians an objective measure of hyperactivity to guide medication choices.

How similar studies have gone: Previous tools like actigraphy exist, but integrating context through ML and environmental data is a newer approach that shows promise but is still being tested.

Where this research is happening

  • Nurelm E-Business Software
    Pittsburgh, United States
    Active

Researchers

  • Principal investigator: Shaaban, Sami — Nurelm E-Business Software
  • Study coordinator: Shaaban, Sami

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.