IFESS Conference Proceedings

@inproceedings{IFESS2010_031b,

title = {Automatic real time procedure for adjusting the stimulus intensities to ensure reliable measurements of the H-re ex recruitment curve},

author = {E Ambrosini and A Pedrocchi and T Schauer and H Nahrstaedt and R Mazzocchio},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

issn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {031},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {Variability in the H-reflex can make it difficult to identify significant changes using traditional analysis techniques. This study presents an automatic real time procedure to adjust tibial nerve stimulus intensities to ensure reliable soleus Hreflex measurements. The procedure consists of 3 steps: (1) an acquisition of a full recruitment curve (RC); (2) a sigmoidal fitting of the ascending limb of the H-reflex RC to compute stimulus intensities needed to evoke the maximal H amplitude (Hmax) and the 50% of Hmax (H50); (3) reliable repeated-measurements of both Hmax and H50. Furthermore, the procedure can detect when changes in the H-reflex RC occur and redetermine the optimal stimulation intensities. Tests on one healthy subject were carried out both at rest and during voluntary contraction of the triceps surae muscle to provide a first validation of the procedure reliability. Significant differences were found between the 2 experimental conditions in the amplitudes of Hmax and H50 and in the homosynaptic depression, as found in literature. The procedure may be used at rest, during muscle contractions and could be particularly useful in prolonged experiments or after fatiguing exercises. Between-day and inter-subjects analyses will be next performed to fully validate the procedure.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_035b,

title = {Can non-invasive electrical stimulation of the brain (ESB) modify the resting-state functional connectivity of the motor cortex? A proof of concept fMRI study},

author = {G Alon and S Roys and R Gullapalli},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

issn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {035},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {none},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_033b,

title = {Mapping Method Using A Super Multi-Electrical Stimulation Device},

author = {T Watanabe and Y Tagawa and N Shiba},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

issn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {033},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {Many functional electrical stimulation (FES) devices use surface electrical stimulation (SES). However, most such devices are unable to reproduce task-oriented motions such as pinching or flexing of individual fingers. We have reported reproduction of such motions using SES based on a mapping method that specifies the distribution of the target muscles from the skin surface. Nevertheless, mapping method presents some problems such as a lack of objective estimation and long processing time. To solve these problems, we plan to develop a new FES system that includes an auto-mapping function using acceleration sensors. We have developed a prototype system and have reproduced some motions using a stimulation device that has 192 stimulation channels.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_031,

title = {Automatic real time procedure for adjusting the stimulus intensities to ensure reliable measurements of the H-re ex recruitment curve},

author = {E Ambrosini and A Pedrocchi and T Schauer and H Nahrstaedt and R Mazzocchio},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

isbn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {031},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {Variability in the H-reflex can make it difficult to identify significant changes using traditional analysis techniques. This study presents an automatic real time procedure to adjust tibial nerve stimulus intensities to ensure reliable soleus Hreflex measurements. The procedure consists of 3 steps: (1) an acquisition of a full recruitment curve (RC); (2) a sigmoidal fitting of the ascending limb of the H-reflex RC to compute stimulus intensities needed to evoke the maximal H amplitude (Hmax) and the 50% of Hmax (H50); (3) reliable repeated-measurements of both Hmax and H50. Furthermore, the procedure can detect when changes in the H-reflex RC occur and redetermine the optimal stimulation intensities. Tests on one healthy subject were carried out both at rest and during voluntary contraction of the triceps surae muscle to provide a first validation of the procedure reliability. Significant differences were found between the 2 experimental conditions in the amplitudes of Hmax and H50 and in the homosynaptic depression, as found in literature. The procedure may be used at rest, during muscle contractions and could be particularly useful in prolonged experiments or after fatiguing exercises. Between-day and inter-subjects analyses will be next performed to fully validate the procedure.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_035,

title = {Can non-invasive electrical stimulation of the brain (ESB) modify the resting-state functional connectivity of the motor cortex? A proof of concept fMRI study},

author = {G Alon and S Roys and R Gullapalli},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

isbn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {035},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {none},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_033,

title = {Mapping Method Using A Super Multi-Electrical Stimulation Device},

author = {T Watanabe and Y Tagawa and N Shiba},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

isbn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {033},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {Many functional electrical stimulation (FES) devices use surface electrical stimulation (SES). However, most such devices are unable to reproduce task-oriented motions such as pinching or flexing of individual fingers. We have reported reproduction of such motions using SES based on a mapping method that specifies the distribution of the target muscles from the skin surface. Nevertheless, mapping method presents some problems such as a lack of objective estimation and long processing time. To solve these problems, we plan to develop a new FES system that includes an auto-mapping function using acceleration sensors. We have developed a prototype system and have reproduced some motions using a stimulation device that has 192 stimulation channels.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_034,

title = {A Study on Feedback Error Learning Controller for FES: Generation of Target Trajectories by Minimum Jerk Model},

author = {T Watanabe and K Fukushima},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

isbn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {034},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {In our previous studies, the Feedback Error Learning (FEL) controller was found to be applicable to FES control of wrist joint movements. However, sinusoidal trajectories were only used for the target joint angles and the artificial neural network (ANN) was trained for each trajectory. In this study, focusing on two-point reaching movement, target trajectories were generated by the minimum jerk model. In computer simulation tests, ANNs trained with different number of target trajectories under the same total number of control iteration (50 control trials) were compared. The Inverse Dynamics Model (IDM) of the controlled limb realized by the trained ANN decreased the output power of the feedback controller and improved tracking performance to unlearned target trajectories. The IDM performed well when target trajectory was changed every 1 control trial during ANN training.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IFESS2010_032,

title = {Use of an inverted pendulum apparatus for the study of closed-loop FES control of the ankle joints during quiet standing},

author = {J Tan and J Zariffa and A Vette and C Lynch and K Masani and M Popovic},

editor = {T Mandl and J Martinek and M Bijak and H Lanmueller and W Mayr and M Pichler},

url = {https://ifess.org/files/proceedings/IFESS2010/IFESS2010.pdf},

isbn = {978-3-900928-09-4},

year  = {2010},

date = {2010-09-01},

pages = {032},

publisher = {Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna Medical School, AKH 4L, Waehringer Guertel 18-20, A-1090 Vienna, Austria},

address = {Imperial Riding School, Vienna, Austria},

abstract = {The restoration of arm-free standing in individuals with paraplegia can be accomplished with the help of functional electrical stimulation (FES). An experimental device, the Inverted Pendulum Standing Apparatus (IPSA), is used to study closed-loop FES control of the ankle joint. The IPSA uses the ankle muscles of a sitting subject to balance an inverted pendulum that mimics the subject's body during quiet stance, thereby overcoming the safety issues associated with studying standing in individuals with paraplegia. We used the IPSA to evaluate the ability of proportionalderivative and proportional-integral-derivative (PD and PID, respectively) controllers to regulate quiet standing in an individual with a T3-T4 complete (AIS A) spinal cord injury (SCI). The controllers were able to regulate balance of the inverted pendulum. However, while the controller gains and FES stimulation parameters were chosen based on simulations and experimental calibration, they did not prove adequate to compensate for the day-to-day variability in the subject's muscle strength, creating the need for adjustments prior to every trial. Although the controller output exhibited a saturated phasic profile, we conjecture that increasing the ankle stiffness (by changing the subject's position from sitting to standing) may help to achieve a more physiologically realistic tonic profile.},

keywords = {Algorithms - non invasive 2, Controls, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}