Rehab Centers: Individual Optimization of EEG Channel and Frequency Ranges by Means of Genetic Algorithm.
Individual optimization of EEG channel and frequency ranges by means of genetic algorithm.
Filed under: Rehab Centers
Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 5290-3
Lee C, Jung J, Kwon G, Kim L
It is well established that motor action/imagery provokes an event-related desynchronization (ERD) response at specific brain areas with specific frequency ranges, typically the sensory motor rhythm and beta bands. However, there are individual differences in both brain areas and frequency ranges which can be used to identify ERD. This often results in low classification accuracy of ERD, which makes it difficult to implement of BCI application such as the control of external devices and motor rehabilitation. To overcome this problem, an individually optimized solution may be desirable for enhancing the accuracy of detecting motor action/imagery with ERD rather than a global solution for all BCI users. This paper presents a method based on a genetic algorithm to find individually optimized brain areas and frequency ranges for ERD classification. To optimize these two components, we designed a chromosome consisting of 64-bit elements represented by a binary number and another 9-bit elements using 512 pre-defined frequency ranges (2^9). The average value of the significant level is set for the properties of the objective function for use in a t-test, (p < 0.01) depending on the random selection from a concurrent population. As a result, contralateral ERD responses in the spatial domain with individually optimized frequency ranges showed a significant difference between resting and motor action. The ERD responses for motor imagery, on the other hand, led to a bilateral pattern with a narrow frequency band compared to motor action. This study provides the possibility of selecting optimized electrode positions and frequency bands which can lead to high levels of ERD classification accuracy.
HubMed – rehab
Analysis of biomechanical data to determine the degree of users participation during robotic-assisted gait rehabilitation.
Filed under: Rehab Centers
Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4855-8
Collantes I, Asin G, Moreno JC, Pons JL
Recent studies have shown evidence indicating that effective robotic rehabilitation is only possible when the user actively participates during training. Providing a complete effective biofeedback to the patient representing his compliance to the therapy and his performance is thought that his active participation will be enhanced significantly, thus, improving his rehabilitation. We have performed a study with the driven gait orthosis (DGO) Lokomat (Hocoma AG, Volketswil, Switzerland). The objective of the present study is the analysis of the effect of different types of participation (attention to the functional task) from subjects receiving robotic assisted gait training on the kinematic and kinetic patterns. The obtained results provide useful evidence of specific biomechanical features that can be used to design more useful, robust, focused and intuitive biomechanical biofeedback during robotic assisted gait rehabilitation in stroke survivors.
HubMed – rehab
Kinect-based detection of self-paced hand movements: Enhancing functional brain mapping paradigms.
Filed under: Rehab Centers
Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4748-51
Scherer R, Wagner J, Moitzi G, Muller-Putz G
Monitoring and interpreting (sub)cortical reorganization after stroke may be useful for selecting therapies and improving rehabilitation outcome. To develop computational models that predict behavioral motor improvement from changing brain activation pattern, we are currently working on the implementation of a clinically feasible experimental set-up, which enables recording high quality electroencephalography (EEG) signals during inpatient rehabilitation of upper and lower limbs. The major drawback of current experimental paradigms is the cue-guided repetitive design and the lack of functional movements. In this paper, we assess the usability of the Kinect device (Microsoft Inc., Redmond, WA, USA) for tracking self-paced hand opening and closing movements. Three able-bodied volunteers performed self-paced right hand open-close movement sequences while EEG was recorded from sensorimotor areas and electromyography (EMG) from the right arm from extensor carpi radialis and flexor carpi radialis muscles. The results of the study suggest that the Kinect device allows generation of trigger information that is comparable to the information that can be obtained from EMG.
HubMed – rehab
Differences in hemodynamic activations between motor imagery and upper limb FES with NIRS.
Filed under: Rehab Centers
Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4728-31
Schurholz M, Rana M, Robinson N, Ramos-Murguialday A, Cho W, Rohm M, Rupp R, Birbaumer N, Sitaram R
A brain-computer interface (BCI) based on near-infrared spectroscopy (NIRS) could act as a tool for rehabilitation of stroke patients due to the neural activity induced by motor imagery aided by real-time feedback of hemodynamic activation. When combined with functional electrical stimulation (FES) of the affected limb, BCI is expected to have an even greater benefit due to the contingency established between motor imagery and afferent, haptic feedback from stimulation. Yet, few studies have explored such an approach, presumably due to the difficulty in dissociating and thus decoding the hemodynamic response (HDR) between motor imagery and peripheral stimulation. Here, for the first time, we demonstrate that NIRS signals elicited by motor imagery can be reliably discriminated from those due to FES, by first performing a univariate analysis of the NIRS signals, and subsequently by multivariate pattern classification. Our results showing that robust classification of motor imagery from the rest condition is possible support previous findings that imagery could be used to drive a BCI based on NIRS. More importantly, we demonstrate for the first time the successful classification of motor imagery and FES, indicating that it is technically feasible to implement a contingent NIRS-BCI with FES.
HubMed – rehab
Analysis of extrinsic and intrinsic factors affecting event related desynchronization production.
Filed under: Rehab Centers
Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4619-22
Takata Y, Kondo T, Saeki M, Izawa J, Takeda K, Otaka Y, It K
Recently there has been an increase in the number of stroke patients with motor paralysis. Appropriate re-afferent sensory feedback synchronized with a voluntary motor intention would be effective for promoting neural plasticity in the stroke rehabilitation. Therefore, BCI technology is considered to be a promising approach in the neuro-rehabilitation. To estimate human motor intention, an event-related desynchronization (ERD), a feature of electroencephalogram (EEG) evoked by motor execution or motor imagery is usually used. However, there exists various factors that affect ERD production, and its neural mechanism is still an open question. As a preliminary stage, we evaluate mutual effects of intrinsic (voluntary motor imagery) and extrinsic (visual and somatosensory stimuli) factors on the ERD production. Experimental results indicate that these three factors are not always additively interacting with each other and affecting the ERD production.
HubMed – rehab
Dr. Zappile Health Tip from County Line Chiropractic Medical & Rehab Centers – WWW.COUNTYLINECHIRO.COM Meet Dr. Zappile from County Line Chiropractic Medical & Rehab Centers. Dr. Zappile is sharing a quick health tip. This health tip is about proper book bags for your children. Our mission is to serve South Florida’s community with outstanding chiropractic care. Our friendly staff is experienced and ready to serve you. We are committed to your health and we want to make you one of the success stories. Wehave five locations in South Florida. If you have back pain, had a injury, or have been in a car accident. Please give us a call to schedule an appointment 1-800-811-1231 For all of our locations log on to our website at WWW.COUNTYLINECHIRO.COM The video was produced by ALLIN1PRODUCTIONS.
Find More Rehab Centers Information…