Clustering-based Source-aware Assessment of True Robustness for Learning Models

We introduce a novel validation framework to measure the true robustness of learning models for real-world applications by creating source-inclusive and source-exclusive partitions in a dataset via clustering. We develop a robustness metric derived from source-aware lower and upper bounds of model accuracy even when data source labels are not readily available. We clearly demonstrate that even on a well-explored dataset like MNIST, challenging training scenarios can be constructed under the proposed assessment framework for two separate yet equally important applications: i) more rigorous learning model comparison and ii) dataset adequacy evaluation. In addition, our findings not only promise a more complete identification of trade-offs between model complexity, accuracy and robustness but can also help researchers optimize their efforts in data collection by identifying the less robust and more challenging class labels.Comment: Submitted to UAI 201

Bio-Inspired Filter Banks for SSVEP-based Brain-Computer Interfaces

Brain-computer interfaces (BCI) have the potential to play a vital role in future healthcare technologies by providing an alternative way of communication and control. More specifically, steady-state visual evoked potential (SSVEP) based BCIs have the advantage of higher accuracy and higher information transfer rate (ITR). In order to fully exploit the capabilities of such devices, it is necessary to understand the features of SSVEP and design the system considering its biological characteristics. This paper introduces bio-inspired filter banks (BIFB) for a novel SSVEP frequency detection method. It is known that SSVEP response to a flickering visual stimulus is frequency selective and gets weaker as the frequency of the stimuli increases. In the proposed approach, the gain and bandwidth of the filters are designed and tuned based on these characteristics while also incorporating harmonic SSVEP responses. This method not only improves the accuracy but also increases the available number of commands by allowing the use of stimuli frequencies elicit weak SSVEP responses. The BIFB method achieved reliable performance when tested on datasets available online and compared with two well-known SSVEP frequency detection methods, power spectral density analysis (PSDA) and canonical correlation analysis (CCA). The results show the potential of bio-inspired design which will be extended to include further SSVEP characteristic (e.g. time-domain waveform) for future SSVEP based BCIs.Comment: 2016 IEEE International Conference on Biomedical and Health Informatics (BHI

Evaluation of Nasal Mucociliary Transport Rate by99mTc-Macroaggregated Albumin Rhinoscintigraphy in Woodworkers

Woodworkers in the furniture industry are exposed to wood dust in their workplaces. The aim of this study is to investigate the effect of occupational wood dust exposure on the nasal mucociliary transport rates (NMTRs) in woodworkers. Twenty five woodworkers and 30 healthy controls were included in this study. Wood dust concentration in workplaces was measured using the sampling device. 99m Tc-macroaggregated albumin (99mTc-MAA) rhinoscintigraphy was performed, and NMTR was calculated in all cases. In statistical analysis, an independent samples t-test was used to compare NMTR of woodworkers and control subjects. We found that the mean NMTR of the woodworkers was lower than that of the healthy controls. However, there was not a statistically significant difference between them (P = 0.066). In conclusion, our findings suggested that wood dust exposure may not impair nasal mucociliary transport rate in woodworkers employed in joinery workshops

Is Boston questionnaire an alternative to electromyography for evaluation of the surgical outcome for carpal tunnel syndrome?

Objectives: This study aims to identify the optimal follow-up method for evaluation of the surgical outcome for carpal tunnel syndrome (CTS). Patients and methods: Between January 2006 and December 2010, 61 hands of a total of 46 patients (7 males, 39 females; mean age 56.0 +/- 10.4 years; range, 20 to 71 years) with a diagnosis of CTS were retrospectively analyzed. All operations were performed by a single surgeon with a mini-incision distal to the transverse carpal ligament. At a mean follow-up of seven years after surgery, electromyography (EMG) was repeated for all patients. The Boston Carpal Tunnel Questionnaire (BCTQ), Boston Symptom Severity Scale, Boston Functional Status Scale, palmar pinch strength, grip strength, and EMG of the patients were compared before and after surgery. Results: The mean follow-up was 84410 (range, 72 to 104) months. There were significant improvements in the Boston Symptom and Functional Scale scores postoperatively, as well as in the grip and pinch strength. After surgery, EMG findings improved in 83.6% of the patients. However, there was no significant correlation between pre- and postoperative Boston Symptom Severity Scale scores, functional status, pinch and grip strengths, and pre- and postoperative EMG results. Conclusion: Our study results demonstrate that the symptom severity and functional status scores of the BCTQ are favorable, and this tool is reliable and easy-to-apply for the diagnosis and follow-up of CTS surgeries