Digitizer
multiDaq
Our Swiss army knife for biomechanics can do more than a normal digitizer for analog data. multiDaq was developed in collaboration with the Department of Training and Movement Sciences at the Humboldt University of Berlin.
Main Features:
- 8 analog inputs
- 4 digital inputs for our IMU sensors
- 1 digital AUX interface
- 1 trigger port (digital)
- python, matlab and C Interface
The main focus was on a flexible design for a wide variety of measuring arrangements. The synchronization options with external measuring equipment are diverse and even other sensors can be easily integrated via the built-in AUX interface.
Further information and technical data can be found in the HW_Manual.
multiDaq has a USB interface.
In the international version, a wireless connection can also be established via WLAN. We provide the international firmware on our website. If this is loaded onto the device, WLAN is available in the 2.4 GHz band. Operating modes as an access point or as a normal WLAN client are possible. However, the device loses its CE mark and may not generally be operated in the EU. However, there are exceptions, e.g. for research institutions. Certification in accordance with the European Radio Equipment Directive (RED) is not economically feasible for the quantities we produce.
Archivs für das stand alone Apps are here.
bioDaq
Our high-resolution 8-channel 24-bit converter for the best signal-to-noise ratio of analog signals is now available again.
Main Features:
- 8 analog inputs with 24 bit resolution
- Synchronous sampling of all channels
- USB interface
- python, matlab and C interface
The device has no digital interfaces, but has 8 high-precision 24 bit Sigma Delta analog/digital converters. This ensures phase-synchronous sampling of all channels. The AD converters have very stiff anti-aliasing filters and thus ensure a very high signal-to-noise ratio even with sensors that exhibit high-frequency noise/interference.
Measurement App
The scope of delivery always includes a stand-alone operating program. This is ideal for simple measurement tasks, as the data format generated (HDF5) is virtually standardized. You can access the measurement data directly from matlab, python or R. The advantage is obvious. It is very easy to exchange your measurement data with other institutions.
links concerning HDF5:
SDK
On the software side, the devices can be easily integrated into your own measurement applications using the software development kit (SDK) provided. Numerous practical measurement and synchronization tasks can thus be easily implemented. We provide the including sample programs on github.
links: