Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Varadhan, SKM"'
Autor:
Etienne Burdet, Varadhan SKM, Priyanka Raja, Ann David, Sivakumar Balasubramanian, Monisha Yuvaraj
Publikováno v:
F1000Research, Vol 12 (2024)
Background Active participation of stroke survivors during robot-assisted movement therapy is essential for sensorimotor recovery. Robot-assisted therapy contingent on movement intention is an effective way to encourage patients’ active engagement.
Externí odkaz:
https://doaj.org/article/cbbb8b44401947a88be9db77057d2a4e
Autor:
Etienne Burdet, Varadhan SKM, Priyanka Raja, Ann David, Sivakumar Balasubramanian, Monisha Yuvaraj
Publikováno v:
F1000Research, Vol 12 (2024)
Background Active participation of stroke survivors during robot-assisted movement therapy is essential for sensorimotor recovery. Robot-assisted therapy contingent on movement intention is an effective way to encourage patients’ active engagement.
Externí odkaz:
https://doaj.org/article/1184b0a7a22b440ba1a55ecd7e74f8d5
Autor:
Banuvathy Rajakumar, Varadhan SKM
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-15 (2022)
Measurement(s) Fingertip Forces and torques • Displacement • Orientation Technology Type(s) Strain gauge technology • laser technology • Electromagnetic Tracking Device Procedure Factor Type(s) Time Sample Characteristic - Organism Human part
Externí odkaz:
https://doaj.org/article/04c2fa6aa67a421e8462d83db0d77a94
Publikováno v:
IEEE Access, Vol 10, Pp 42673-42689 (2022)
The human hand needs a large number of sensors to measure kinematics owing to its large number of degrees of freedom. Existing devices like data gloves and optical trackers are associated with calibration, line of sight, and accuracy problems. In thi
Externí odkaz:
https://doaj.org/article/c1a539f4adc34bf191824695f62e904a
Autor:
Tanya Subash, Ann David, StephenSukumaran ReetaJanetSurekha, Sankaralingam Gayathri, Selvaraj Samuelkamaleshkumar, Henry Prakash Magimairaj, Nebojsa Malesevic, Christian Antfolk, Varadhan SKM, Alejandro Melendez-Calderon, Sivakumar Balasubramanian
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
The various existing measures to quantify upper limb use from wrist-worn inertial measurement units can be grouped into three categories: 1) Thresholded activity counting, 2) Gross movement score and 3) machine learning. However, there is currently n
Externí odkaz:
https://doaj.org/article/25d421cced5746619036b7ef1304053f
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Motor learning is an essential component of human behavior. Many different factors can influence the process of motor learning, such as the amount of practice and type of feedback. Changes in task difficulty during training can also considerably impa
Externí odkaz:
https://doaj.org/article/fb8d4aa388a3438e992d1e095b54135d
Autor:
Banuvathy, Rajakumar1 (AUTHOR), Varadhan, SKM1 (AUTHOR) skm@iitm.ac.in
Publikováno v:
Scientific Reports. 10/26/2021, Vol. 11 Issue 1, p1-12. 12p.
Publikováno v:
IEEE Transactions on Haptics. :1-12
Autor:
Banuvathy Rajakumar, Varadhan SKM
Publikováno v:
PeerJ, Vol 8, p e9962 (2020)
Background The human hand plays a crucial role in accomplishing activities of daily living. The contribution of each finger in the human hand is remarkably unique in establishing object stabilization. According to the mechanical advantage hypothesis,
Externí odkaz:
https://doaj.org/article/6682bc5b908c4e7c82a04c2124d9ab49
Autor:
Dhanush Rachaveti, Varadhan SKM
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
The dataset presented in the article includes the timestamp of key press and key release data of individual participants during a novel finger thumb opposition typing task. The novel task involves touching different segments (phalanges) of fingers wi
Externí odkaz:
https://doaj.org/article/ffbb5362db974873b45511e645468b9f