Downloads

Here are downloads related to SignalPlant software.

 

​Download SignalPlant ver. 1.2.8.2 - Win-10 64bit

from September 9th, 2022.

 

If you need to operate with *.h5 files, please check whether you have the file "C:\Windows\System32\MSVCR100.dll". If not, please install Microsoft Visual C++ 2010 SP1 Redistributable Package (x64). This prerequisite is mandatory for *.h5 users only.
Also, new DeepPlayer plugin for running ONNX models requires Microsoft Visual C++ redistributable. It is mandatory for the DeepPlayer plugin only (you will need x64 version).

 

License

SignalPlant is free under MIT license

 

Most recent signalPlant versions:

  • 1.2.8.2 from 9.9.2022 (78 MB): DeepPlayer allows more output heads, new command "FIX_NAMES" to remove artifical spaces from EDF channel names
  • 1.2.8.1 from 27.7.2022 (78 MB): DeepPlayer bugfix (removed graph optimization for inference sessions)
  • 1.2.8.0 from 8.7.2022 (78 MB): date for EDFs on X-axis, transparent Y-scale etc., DeepPlayer update
  • 1.2.7.9 from 5.4.2022 (78 MB)
  • 1.2.7.8 from 21.1.2022 (78 MB)
  • 1.2.7.7 from 2.12.2021 (78 MB)
  • 1.2.7.6 from 19.11.2021 (78 MB): DeepPlayer plugin
  • 1.2.7.3 from 13.11.2020 (17 MB)
  • 1.2.7.2 from 10.10.2020 (17 MB)
  • 1.2.7.1 from 30.9.2020 (17 MB)
  • 1.2.7.0 from 29.9.2020 (17 MB)
  • 1.2.6.6 from 25.5.2020 (17 MB)
  • 1.2.6.5 from 1.11.2019 (17 MB)
  • 1.2.6.2 from 21.10.2019 (17 MB)
  • 1.2.6.0 from 18.9.2019 (17 MB)
  • 1.2.5.3 from 4.4.2019 (17 MB)
  • 1.2.5.2 from 21.3.2019 (17 MB)
  • 1.2.5.0 from 14.11.2018 (17 MB)
  • 1.2.4.3 from 19.7.2018 (17 MB)
  • 1.2.4.2 from 15.5.2018 (17 MB)
  • 1.2.4.1 from 18.2.2018 (17 MB)
  • 1.2.4 from 31.12.2017 (17 MB)
  • 1.2.3.7 from 10.10.2017 (17 MB)

 

Example data files:

  • ecg_noisy.h5 - sample of ECG signal (250Hz) disturbed by power grid noisy(31 kB)
  • reflections.h5 - bouncing ball recorded by two microphones at 44.1 kHz (6.6 MB)
  • P5_kocarek.h5 - Holter ECG recording (250 Hz) of jogging and rest. Contains also 3-axis accelerometer (45 MB)
  • multimodal.h5 - Experimental recording of ECG, PPG (ear), PPG (finger) and 3-axis accelerometers at 240 Hz (1.2 MB)
  • 645e_125Hz1020_final.h5 - Scalp EEG recording for CEITEC NeuroImaging lesson (8.3 MB)
  • 6dbs_bal_offon_raw.h5 - EEG recording for CEITEC NeuroImaging 2023 lesson:starting a deep brain stiimulation (1.2 MB)

 

Deep-learning models for the Deep-Player plugin (in SignalPlant ver. 1.2.7.6 and newer):

  • Basic ONNX model package - Four deep-learning models in ONNX format(QRS detection, ECG classification, Heart-rate estimation and EEG classification)

 

Aditional links:

  • Jupyter notebook to build a deep-learning regression model including ONNX export. Prepared by KIS*MED group from Darmstadt university (DE)