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Objectives: Systemic sclerosis (SSc) is characterized by progressive fibrosis of various organs, and causes hard, tethered, and inelastic skin. The modified Rodnan score is used to quantify skin involvement, but this method is subjective and user dependent. The aim of this study was to test the ability of a new skin torsion device to measure skin elasticity in patients with SSc., Methods: The study included 16 female SSc patients and 58 healthy controls. Skin elasticity was assessed on the forearms and backs of the hands using a new hand-held device that gently rotates the skin for 15 s to a maximum of 40 deg, and measures the speed of rotation and the angle of rotation at 15 s. Total and localized modified Rodnan scores were also documented., Results: Measurements produced by the skin torsion device had good intra-subject reproducibility, particularly in the control group. The SSc patients had significantly lower skin elasticity than an age-matched subgroup of control subjects, as determined by the median speed of rotation of the device in the hands (1.91 vs. 2.60 deg/s, p < 0.0001) and forearms (1.84 vs. 2.46 deg/s, p < 0.0001), and the rotation at 15 s in the hands (28.6 vs. 39.0 deg, p < 0.0001) and forearms (27.6 vs. 36.9 deg, p < 0.0001). The presence of SSc disease was the only independent predictor of skin elasticity., Conclusions: This pilot study has shown the potential value of a new skin torsion device to assess skin involvement in patients with SSc.

The continuous wavelet transform (CWT) is an effective tool when the emphasis is on the analysis of non-stationary signals and on localization and characterization of singularities in signals. We have used the B-spline based CWT, the Lipschitz Exponent (LE) and measures derived from it to detect and quantify the singularity characteristics of biomedical signals. In this article, a real-time implementation of a B-spline based CWT on a digital signal processor is presented, with the aim of providing quantitative information about the signal to a clinician as it is being recorded. A recursive algorithm implementation was shown to be too slow for real-time implementation so a parallel algorithm was considered. The use of a parallel algorithm involves redundancy in calculations at the boundary points. An optimization of numerical computation to remove redundancy in calculation was carried out. A formula has been derived to give an exact operation count for any integer scale m and any B-spline of order n (for the case where n is odd) to calculate the CWT for both the original and the optimized parallel methods. Experimental results show that the optimized method is 20-28% faster than the original method. As an example of applying this optimized method, a real-time implementation of the CWT with LE postprocessing has been achieved for an EMG Interference Pattern signal sampled at 50 kHz.

Both platelet aggregation and white blood cell aggregation are involved in pathological processes such as thrombosis, atherosclerosis and chronic inflammation. People in older age groups are likely to suffer from cardiovascular diseases and may have increased white cell and platelet aggregation which could contribute to this increased risk. This study aimed to compare white cell and platelet aggregation between different age and gender groups. Whole blood white cell aggregation and platelet aggregation were carried out on healthy volunteers using cytometric techniques. It was found that both white cell and platelet aggregation in the elderly group (white cell aggregation median value, 0.08; range, 0.02-0.14; platelet aggregation median value, 0.32; range, 0.1-0.39) were significantly higher (P = 0.017 for white cell aggregation, P = 0.007 for platelet aggregation) than in the younger group (white cell aggregation median value, 0.05; range, 0.01-0.14; platelet aggregation median value, 0.18; range, 0.07-0.36). No significant differences were found between the gender groups.

The principal physiological function of platelets is to promote haemostasis but they also contribute to thrombosis and atherogenesis. Platelet volume is a marker and possibly a determinant of platelet function in that large platelets are more active than normal sized platelets. Mean platelet volume (MPV), a measure of platelet size, reflects changes in either the level of platelet stimulation or the rate of platelet production. For these reasons, we have developed a sensitive instrument to measure platelet volume, which we believe is more reliable and specific than previously used instruments. It is based on a computer-interfaced Coulter Thrombocytometer and a pulse analyser including a high-speed baseline restorer. We have developed a reproducible method to assay MPV and from the histogram derived the median (MED) and the skewness (SK) values. We have looked at the effects of anticoagulant used and time elapse prior to assay. A normal range has been established for MPV which correlates directly with MED and inversely with SK. The MPV decreases with age but there is no difference between genders. We have demonstrated a negative correlation between whole blood platelet number and MPV and MED, and a direct relationship with the SK of the histogram of the platelet volume.