Wall eyed bilateral internuclear ophthalmoplegia (WEBINO) syndrome as a false localising sign in intracranial haemorrhage due to snake bite.

A 48-year-old woman presented with sudden-onset altered sensorium 2 days after a snake bite (unidentified species) and was found to have a large right frontal intracerebral haemorrhage (ICH) with transtentorial herniation (TTH) causing brain stem compression. A day later, neurological examination revealed internuclear ophthalmoplegia (INO) fitting the clinical description of wall eyed bilateral INO syndrome. INO is a rare ocular motor sign, the most common causes being brain stem infarction, haemorrhage or demyelinating disease. It rarely acts as a false localising sign, such as in this case, and in an even rarer cause for ICH, that is, haemotoxic snake bite without initial evidence of coagulopathy. An emphasis needs to be laid on detailed physical examination, often considered a lost art nowadays, to help detect subtle clinical signs which could herald ominous complications of conditions like TTH and help in early diagnosis and treatment of the same.

Spectral trimming technique: a new approach for suppressing motion artefacts in stress electrocardiography.

Motion artefacts in electrocardiographic (ECG) signal are suppressed mainly by adaptive noise cancellation and wavelet denoising. While the former requires a motion sensor in addition to ECG electrodes, the latter removes some of the desired low-frequency components in the signal. In this paper spectral trimming technique is being introduced for suppressing the motion artefacts in stress electrocardiography. In this method, Fourier spectral coefficients up to 1.221 Hz of noisy signal are trimmed on the basis of template derived from resting ECG signal in the same subject. The proposed spectral trimming technique has yielded the lowest value of mean ± standard deviation for root mean square error (18.92 ± 8.71) and highest value of the signal to noise ratio (6.439 ± 4.266) as compared to other three methods, namely adaptive noise cancellation, wavelet decomposition and adaptive line enhancement with compatible value of correlation coefficient. Subsequently, spectral trimming technique has been implemented in real-time (deferred by 8.2 s) application for stress electrocardiography. Spectral trimming technique thus offers a method of choice for motion artefact suppression in offline as well as deferred online applications. This method takes care of the limitations of conventional methods such as adaptive noise cancellation or wavelet denoising for suppressing motion artefacts in stress electrocardiography.