Org card: circadian rhythm, Sleep Europe 2026 result, Barcelona and London
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README.md
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<img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner.svg" class="dark:hidden" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with Biobank MCP, which returns survey-weighted estimates with their ranges."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner-dark.svg" class="hidden dark:block" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with Biobank MCP, which returns survey-weighted estimates with their ranges.">
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**Actogram AI** develops tools for studying daily activity patterns and
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work, kept apart:
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### 1. Biobank MCP: AI-assisted analysis of public US health survey data
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### 2. Activity research
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Characterising daily activity patterns from step-count data.
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---
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[actogram.ai](https://actogram.ai) | [LinkedIn](https://www.linkedin.com/company/actogram-ai) |
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[X](https://x.com/actogram_ai) | [GitHub](https://github.com/actogram) | admin@actogram.ai
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<sub>Made by Actogram AI
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<img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner.svg" class="dark:hidden" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with Biobank MCP, which returns survey-weighted estimates with their ranges."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner-dark.svg" class="hidden dark:block" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with Biobank MCP, which returns survey-weighted estimates with their ranges.">
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**Actogram AI** develops tools for studying daily activity patterns and the circadian rhythm from ordinary step counts,
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and for analysing population health data. Two lines of work, kept apart:
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### 1. Biobank MCP: AI-assisted analysis of public US health survey data
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### 2. Activity research
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Characterising daily activity patterns and the circadian rhythm from step-count data. The method was tested on existing
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data from about 30,000 participant samples (NHANES and Fitbit) and presented as poster F170 at Sleep Europe 2026 in
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Maastricht. More at [actogram.ai](https://actogram.ai).
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---
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[actogram.ai](https://actogram.ai) | [LinkedIn](https://www.linkedin.com/company/actogram-ai) |
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[X](https://x.com/actogram_ai) | [GitHub](https://github.com/actogram) | admin@actogram.ai
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<sub>Made by Actogram AI. Our team works in Barcelona, Spain, and Actogram Ltd is registered in London, United Kingdom.</sub>
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