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SleepFM-Clinical download for Linux

Free download SleepFM-Clinical Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named SleepFM-Clinical whose latest release can be downloaded as sleepfm-clinicalsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named SleepFM-Clinical with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS

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SleepFM-Clinical


DESCRIPTION

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


Programming Language

Python


Categories

Artificial Intelligence, Healthcare

This is an application that can also be fetched from https://sourceforge.net/projects/sleepfm-clinical.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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