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OpenSignals (r)evolution
SW-OPENSIGNALS
000000000
This is our easy-to-use, versatile, and scalable software for real-time biosignals visualization, capable of direct interaction with BITalino. Core functionality includes sensor data acquisition from multiple channels and devices, data visualization and recording, as well as loading of pre-recorded signals.
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OpenSignals (r)evolution
This is our easy-to-use, versatile, and scalable software for real-time biosignals visualization, capable of direct interaction with BITalino. Core functionality includes sensor data acquisition from multiple channels and devices, data visualization and recording, as well as loading of pre-recorded signals.
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Download options:
| Win 32bit | Win 64bit | Mac OSX | Linux |
Data processing modules are available as optional add-ons, enabling one to do Heart Rate Variability (HRV) analysis, extraction of statistical indicators from EMG data, and other convenient operations. OpenSignals is also a Python-powered web-based software framework, targeted at rapid application development; a bare bone code base is available on our GitHub.
Features
Reliable and intuitive | Extensive list of signal | Open and collaborative | Interoperable |
| Real-time and offline data visualisation for desktop and mobile | FREE event generation (actions) add-on for basic real-time biofeedback | FREE software base, ready to use upon installation (no license keys needed) | Available for Windows, Mac OS, Linux and Android |
| Support for devices with Bluetooth, BLE* and WiFi connectivity | User-friendly data analysis and feature extraction add-ons for raw data post-processing | Cloud-based storage option with interfaces for Google Drive, Dropbox and RepoVizz | Exporting to ASCII, HDF5 and EDF formats compatible with Matlab, Python, and mainstream platforms alike |
| Simultaneous data acquisition from up to 18 channels (3 devices) | Result exporting in CSV format (compatible with MS Excel) or as a PDF report | Flexible architecture that allows you to build your own signal processing workflows | Option to import data stored in ACK (AcqKnowledge) format |
| Possibility to schedule data acquisition sessions | NEW pay-per-report option, with low-cost in-app access to results from individual files | Option to record based on synchronization signals received from third-party systems | Add comments and tags to the recorded files as metadata available for future reference |
| Automatic reconnection to a device (e.g. to recover from battery replacement operations) | FREE real-time and offline statistics about the collected data | ||
| * Currently only on Windows and Android |
Download options:
| Win 32bit | Win 64bit | Mac OSX | Linux |
Data processing modules are available as optional add-ons, enabling one to do Heart Rate Variability (HRV) analysis, extraction of statistical indicators from EMG data, and other convenient operations. OpenSignals is also a Python-powered web-based software framework, targeted at rapid application development; a bare bone code base is available on our GitHub.
Features
Reliable and intuitive | Extensive list of signal | Open and collaborative | Interoperable |
| Real-time and offline data visualisation for desktop and mobile | FREE event generation (actions) add-on for basic real-time biofeedback | FREE software base, ready to use upon installation (no license keys needed) | Available for Windows, Mac OS, Linux and Android |
| Support for devices with Bluetooth, BLE* and WiFi connectivity | User-friendly data analysis and feature extraction add-ons for raw data post-processing | Cloud-based storage option with interfaces for Google Drive, Dropbox and RepoVizz | Exporting to ASCII, HDF5 and EDF formats compatible with Matlab, Python, and mainstream platforms alike |
| Simultaneous data acquisition from up to 18 channels (3 devices) | Result exporting in CSV format (compatible with MS Excel) or as a PDF report | Flexible architecture that allows you to build your own signal processing workflows | Option to import data stored in ACK (AcqKnowledge) format |
| Possibility to schedule data acquisition sessions | NEW pay-per-report option, with low-cost in-app access to results from individual files | Option to record based on synchronization signals received from third-party systems | Add comments and tags to the recorded files as metadata available for future reference |
| Automatic reconnection to a device (e.g. to recover from battery replacement operations) | FREE real-time and offline statistics about the collected data | ||
| * Currently only on Windows and Android |