Projects per year
Myoelectric prosthesis users typically do not receive immediate feedback from their device. They must be able to consistently produce distinct muscle activations in the absence of augmented feedback. In previous experiments, abstract decoding has provided real-time visual feedback for closed loop control. It is unclear if the performance in those experiments was due to short-term adaptation or motor learning. To test if similar performance could be reached without short-term adaptation, we trained participants with a delayed feedback paradigm. Feedback was delayed until after the ~1.5 s trial was completed. Three participants trained for five days in their home environments, completing a cumulative total of 4920 trials. Participants became highly accurate while receiving no real-time feedback of their control input. They were also able to retain performance gains across days. This strongly suggests that abstract decoding with delayed feedback facilitates motor learning, enabling four class control without immediate feedback.
|Title of host publication||43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021|
|Number of pages||4|
|ISBN (Electronic)||978-1-7281-1179-7, 978-1-7281-1178-0|
|Publication status||Published - 9 Dec 2021|
|Event||43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 - Virtual, Online, Mexico|
Duration: 1 Nov 2021 → 5 Nov 2021
|Name||Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS|
|Conference||43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021|
|Period||1/11/21 → 5/11/21|
FingerprintDive into the research topics of 'Long-Term Myoelectric Training with Delayed Feedback in the Home Environment'. Together they form a unique fingerprint.
- 1 Finished
Sensorimotor learning for control of prosthetic limbs
1/02/18 → 31/01/23