Abstract
Active mental engagement and a positive emotional state are prerequisites for optimal outcomes of rehabilitation programs for stroke patients. Our program at the ETH, Zurich utilizes a closed loop response in automated robot-assist gait training coupled with virtual reality provided tasks. Heart rate variability has been shown to be sensitive to cognitive as well as emotional states as well as
pathophysiological-environmental challenges. We investigated whether adaptation to a task differs between stroke patients with either cortical or subcortical lesions. Seven non-stroke control participants were compared to responses of nine stroke patients with either a diagnosis of cortical or subcortical stroke using heart rate variability. The robot-assist virtual reality training session consisted of a familiarization period, a baseline walking period, an under-challenged, appropriate challenged and over-challenged condition. Time and frequency domain as well as nonlinear features were assessed. Our results indicated that only entropy was sensitive to identifying adaptation to a different level of difficulty. Thus a significant difference was seen between the three stroke groups and control for adaption from baseline to the under-challenged condition (p=0.026), and also from the under-challenged condition to an appropriate level of challenge (p=0.027). We propose that the entropy feature provides a robust index of cognitive and emotional level associated with task difficulty experienced by post-stroke patients that allows real time closed loop regulation of robot-
assist gait rehabilitation.
pathophysiological-environmental challenges. We investigated whether adaptation to a task differs between stroke patients with either cortical or subcortical lesions. Seven non-stroke control participants were compared to responses of nine stroke patients with either a diagnosis of cortical or subcortical stroke using heart rate variability. The robot-assist virtual reality training session consisted of a familiarization period, a baseline walking period, an under-challenged, appropriate challenged and over-challenged condition. Time and frequency domain as well as nonlinear features were assessed. Our results indicated that only entropy was sensitive to identifying adaptation to a different level of difficulty. Thus a significant difference was seen between the three stroke groups and control for adaption from baseline to the under-challenged condition (p=0.026), and also from the under-challenged condition to an appropriate level of challenge (p=0.027). We propose that the entropy feature provides a robust index of cognitive and emotional level associated with task difficulty experienced by post-stroke patients that allows real time closed loop regulation of robot-
assist gait rehabilitation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2014 Middle East Conference on Biomedical Engineering (MECBME) |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 253-256 |
| Number of pages | 4 |
| ISBN (Print) | 978147994799714 |
| Publication status | Published - 2014 |
| Event | 2014 Middle East Conference on Biomedical Engineering (MECBME) - Hilton Hotel, Doha, Qatar Duration: 17 Feb 2014 → 20 Feb 2014 |
Conference
| Conference | 2014 Middle East Conference on Biomedical Engineering (MECBME) |
|---|---|
| Country/Territory | Qatar |
| City | Doha |
| Period | 17/02/14 → 20/02/14 |
