SleepFM-Clinical is a specialized version of SleepFM designed for clinical and research environments, offering an adaptive audio modulation system aimed at improving human sleep through scientifically guided soundscapes. Rather than simply playing static white noise or ambient tracks, it uses a closed-loop, frequency-modulated framework that responds to user-specific sleep patterns and physiological signals to tailor sound in ways that can enhance sleep onset and depth. The clinical release includes additional features for controlled experimentation, such as logging capabilities, adjustable parameter sets, and protocols suitable for sleep studies and therapeutic settings. It also integrates tools for clinicians to configure sessions, annotate events, and potentially link with biofeedback data, enabling a more nuanced understanding of sound’s effect on sleep architecture over time.

Features

  • Adaptive, closed-loop soundscapes responsive to user sleep dynamics
  • Clinical configuration UI for protocol and parameter management
  • Logging and annotation tools for sleep study integration
  • Biofeedback and signal integration hooks
  • Session scheduling and exportable data for research
  • Fine-tunable modulation parameters for personalized therapy

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License

MIT License

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Additional Project Details

Operating Systems

Linux

Programming Language

Python

Related Categories

Python Artificial Intelligence Software, Python Healthcare Software

Registered

2026-01-07