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Wilson Low

Bio: Wilson Low is an academic researcher from Tan Tock Seng Hospital. The author has contributed to research in topics: Osteotomy & Hemiparesis. The author has an hindex of 3, co-authored 4 publications receiving 337 citations.

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Journal ArticleDOI
TL;DR: BCI-Manus therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis and the correlation of rBSI with motor improvements suggests that the rBSi can be used as a prognostic measure for BCI-based stroke rehabilitation.
Abstract: Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of an EEG-based MI BCI system coupled with MIT-Manus shoulder-elbow robotic feedback (BCI-Manus) for subjects with chronic stroke with upper-limb hemiparesis. In this single-blind, randomized trial, 26 hemiplegic subjects (Fugl-Meyer Assessment of Motor Recovery After Stroke [FMMA] score, 4-40; 16 men; mean age, 51.4 years; mean stroke duration, 297.4 days), prescreened with the ability to use the MI BCI, were randomly allocated to BCI-Manus or Manus therapy, lasting 18 hours over 4 weeks. Efficacy was measured using upper-extremity FMMA scores at weeks 0, 2, 4 and 12. ElEG data from subjects allocated to BCI-Manus were quantified using the revised brain symmetry index (rBSI) and analyzed for correlation with the improvements in FMMA score. Eleven and 15 subjects underwent BCI-Manus and Manus therapy, respectively. One subject in the Manus group dropped out. Mean total FMMA scores at weeks 0, 2, 4, and 12 weeks improved for both groups: 26.3±10.3, 27.4±12.0, 30.8±13.8, and 31.5±13.5 for BCI-Manus and 26.6±18.9, 29.9±20.6, 32.9±21.4, and 33.9±20.2 for Manus, with no intergroup differences (P=.51). More subjects attained further gains in FMMA scores at week 12 from BCI-Manus (7 of 11 [63.6%]) than Manus (5 of 14 [35.7%]). A negative correlation was found between the rBSI and FMMA score improvement (P=.044). BCI-Manus therapy was well tolerated and not associated with adverse events. In conclusion, BCI-Manus therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis. Motor gains were comparable to those attained with intensive robotic therapy (1,040 repetitions/session) despite reduced arm exercise repetitions using EEG-based MI-triggered robotic feedback (136 repetitions/session). The correlation of rBSI with motor improvements suggests that the rBSI can be used as a prognostic measure for BCI-based stroke rehabilitation.

397 citations

Journal ArticleDOI
TL;DR: The data suggest that postoperative SSI was reduced in the group of patients with dirty-infected wound class, and SSI appears to be decreased with use of the larger size Collatamp G.
Abstract: We conducted a retrospective study to examine the role of Collatamp G in reducing postoperative surgical site infection (SSI) in patients with different wound classes. Ninety-two patients (62 men and 30 women; mean age, 58 years; range, 29–88 years) who had undergone surgery between December 2009 and November 2011 in Tan Tock Seng Hospital and who had application of Collatamp G in their wound before closure were included in the study. The primary endpoint was the development of any superficial wound infection within 1 month postoperatively. Of 92 patients studied, 9 (10%) developed a superficial wound infection. Two of 43 patients with clean-contaminated wounds (5%), 2 of 19 with contaminated wounds (11%), and 5 of 30 with dirty-infected wounds (16%) developed infection. Use of the larger size Collatamp G (10 × 10 cm) also appears to have a lower incidence of SSI compared with the smaller Collatamp G (5 × 5 cm); 4% and 12%, respectively. Our data suggest that postoperative SSI was reduced in the ...

18 citations

Journal ArticleDOI
TL;DR: Correcting flexible pes planovalgus deformity with a central calcaneal osteotomy was an effective, reproducible method to restore normal foot alignment and good function.
Abstract: Background:Lateral column lengthening procedures have been extensively reported either as primary procedures or adjuncts to combined soft tissue procedures and osteotomies for the correction of the pes planovalgus deformity. There is also considerable debate as to the ideal procedure that is not followed by recurrence and obviates the need for revision surgeries and minimizes complications. We describe a technique and present the clinical results of lateral column lengthening that provides a powerful correction to restore normal foot alignment.Methods:We retrospectively reviewed 26 feet in 21 patients with a mean age of 35.4 years (range, 12-75) over an average follow-up period of 71 months (range, 12-147) who underwent reconstructive surgery for flexible pes planovalgus foot. The reconstructive procedures included a central calcaneal osteotomy in all patients, a medial column stabilization procedure, flexor digitorium transfer (FDL), and a gastrocnemius or Achilles tendon lengthening. Clinical evaluation...

12 citations


Cited by
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TL;DR: Brain-machine interfaces research has been at the forefront of many neurophysiological discoveries, including the demonstration that, through continuous use, artificial tools can be assimilated by the primate brain's body schema.
Abstract: Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from neurophysiology, computer science, and engineering in an effort to establish real-time bidirectional links bet...

373 citations

Journal ArticleDOI
TL;DR: The most recent feature selection methods developed for and applied in medical problems are reviewed, covering prolific research fields such as medical imaging, biomedical signal processing, and DNA microarray data analysis.

320 citations

Journal ArticleDOI
15 Jul 2015-Neuron
TL;DR: This review highlights several important mechanisms of stroke injury and describes emerging therapies aimed at improving clinical outcomes.

284 citations

Journal ArticleDOI
22 Mar 2019-Sensors
TL;DR: In this article, state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used.
Abstract: Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings. MI data is generated when a subject imagines the movement of a limb. This paper reviews state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used. It also summarizes the main applications of EEG-based BCIs, particularly those based on MI data, and finally presents a detailed discussion of the most prevalent challenges impeding the development and commercialization of EEG-based BCIs.

272 citations

Journal ArticleDOI
TL;DR: Motor improvements, mostly quantified by the upper limb Fugl‐Meyer Assessment (FMA‐UE), exceeded the minimal clinically important difference in six BCI studies, while such improvement was reached only in three control groups, suggesting that BCI technology could be an effective intervention for post‐stroke upper limb rehabilitation.
Abstract: Brain-computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might trigger neurological recovery and hence improvement in motor function. Here, we provide a first meta-analysis evaluating the clinical effectiveness of BCI-based post-stroke motor rehabilitation. Trials were identified using MEDLINE, CENTRAL, PEDro and by inspection of references in several review articles. We selected randomized controlled trials that used BCIs for post-stroke motor rehabilitation and provided motor impairment scores before and after the intervention. A random-effects inverse variance method was used to calculate the summary effect size. We initially identified 524 articles and, after removing duplicates, we screened titles and abstracts of 473 articles. We found 26 articles corresponding to BCI clinical trials, of these, there were nine studies that involved a total of 235 post-stroke survivors that fulfilled the inclusion criterion (randomized controlled trials that examined motor performance as an outcome measure) for the meta-analysis. Motor improvements, mostly quantified by the upper limb Fugl-Meyer Assessment (FMA-UE), exceeded the minimal clinically important difference (MCID=5.25) in six BCI studies, while such improvement was reached only in three control groups. Overall, the BCI training was associated with a standardized mean difference of 0.79 (95% CI: 0.37 to 1.20) in FMA-UE compared to control conditions, which is in the range of medium to large summary effect size. In addition, several studies indicated BCI-induced functional and structural neuroplasticity at a subclinical level. This suggests that BCI technology could be an effective intervention for post-stroke upper limb rehabilitation. However, more studies with larger sample size are required to increase the reliability of these results.

272 citations