Reh@Panel (formerly RehabNet CP)

Reh@Panel (formerly RehabNet CP) acts as a device router, bridging a large number of tracking devices and other hardware with the RehabNet Training Games for the patient to interact with. Reh@Panel implements the communication protocols in a client/server architecture. Native device support for:

 

Electrophysiological Data

  • Emotiv EPOC neuro-headset is intergrated for acquiring raw EEG data,kinect1 gyroscope data, facial expressions and Emotiv’s Expressiv™, Cognitiv™ and Affectiv™ suite
  • Neurosky EEG headset is supported for raw EEG acquisition and eSense™ meters of attention and meditation
  • Myoelectric orthosis mPower 1000 (Myomo Inc, Boston, USA) is supported, providing 2 EMG channels and adjustable levels of assistance

 Kinematics

  • Microsoft Kinect v1 is natively supported either by the Microsoft or OpenNI drivers
  • Microsoft Kinect v2 through Kinect v2 SDK
  • Nintendo Wii
  • Leap Motion

 Head tracking

  • Oculus Rift
  • Vuzix iWear

 Eye tracking

  • Tobii T120
  • Tobii EyeX
  • Eye-Tribe

Extended device support is achieved via a custom UDP protocol used for bridging with:

  • Android app (see RehaMote) running on smartphones for sending sensor data
  • Analysis and Tracking System (AnTS)
  • VRPN and OSC protocols are supported for the connection with any device (e.g. Vicon’s tracking, 5DT data gloves) or software supporting it (e.g. OpenViBE BCI software)

Reh@Panel performs data filtering, smoothing, translation and emulation on these data. In addition, logging of synchronized data in XML or CSV format is configurable from all the acquisition devices as well as game events for offline analysis. Finally, the CP allows to preview the translated avatar movements from the sensors, allowing to re-adjust parameters in real-time.

Technology2

Developed by: Athanasios Vourvopoulos

If you are using this tool in your work, please cite RehabNetCP by using the following reference :
A. Vourvopoulos, A. L. Faria, M. Cameirão, and S. Bermudez i Badia, “RehabNet: A Distributed Architecture for Motor and Cognitive Neuro-Rehabilitation”, Proc. of the 15th International Conference on E-Health Networking, Application and Services (IEEE Healthcom'13), Lisbon, Portugal, October 9-12, (2013). (Download PDF) (Cite)