EMG and joint angle data
<p>This dataset consists of lower limb EMG data and joint angle data of different healthy subjects for different walking speeds in the treadmill.</p> <p><em>Note: The EMG data is raw and needs to be high pass filtered, rectification and low pass filtered. Then normalization of the data can be done using <strong>MVC.mat </strong>file (maximum voluntary contraction) provided along with the other data. </em></p> <p><strong>Recorded Instruments:</strong></p> <p>EMG Data: Delsys and the placement of sensors are placed according to <a href="http://seniam.org/sensor_location.htm">SENIAM.</a></p> <p>Joint kinematics: Xsens.</p> <p><strong>Speeds:</strong></p> <p><strong>Constant: </strong>0.9 km/hr, 1.8 km/hr, 2.7 km/hr, 3.6 km/hr</p> <p><strong>Varying: </strong>0.9 km/hr (20 seconds) - 1.8 km/hr (20 seconds) - 2.7 km/hr (20 seconds) - 3.6 km/hr (20 seconds) - 2.7 km/hr (20 seconds) -1.8 km/hr (20 seconds) -0.9 km/hr (20 seconds)<strong> </strong></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0