Effect of eTansiyon smartphone application on hypertension control.

AIM: To investigate the effectiveness of eTansiyon smartphone application in blood pressure control in patients with hypertension. BACKGROUND: Global prevalence of hypertension and the burden of chronic illness care, especially in primary care, are increasing in world. We have developed eTansiyon to ensure the continuity of patient-physician relationship, so it may help to improve the lifestyle of patients with hypertension, increase their adherence to treatment and achieve the target blood pressure. METHODS: This study was a non-randomized controlled study. The sample was selected by random sampling method among the patients registered in 6 Family Health Units (FHUs). Randomization was performed at the FHU level; the units were randomized to 4 control group (CG) and 2 intervention group (IG), so that randomization in this study was 2:1. Both groups were followed up for at least four months. In addition to CG, IG were provided to use eTansiyon. Obtained data were analysed to evaluate differences between groups at the beginning and end of the study, intra-group changes after follow-up and interaction between groups and follow-up period. FINDINGS: The study was performed with 124 patients in CG and 61 patients in IG. At the end of the study, the average systolic blood pressure/diastolic blood pressure (SBP/DBP) of office and home was significantly lower in IG compared to CG (P < 0.001, MD 9.5 mmHg; P = 0.007, MD 3.8 mmHg; P < 0.001, MD 10.6 mmHg; P < 0.001, MD 4.8 mmHg, respectively), and it was found that the proportion of people with target blood pressure in IG was significantly higher than CG (P < 0.001, 49.2%(n = 30) and 22.6%(n = 28), respectively). Repeated measures ANOVA and generalized estimating equations results showed that follow-up period and interaction between groups were significant in terms of office and home SBP/DBP and target blood pressure level during follow-up period (P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.024, respectively).

An LED-Based structured illumination microscope using a digital micromirror device and GPU accelerated image reconstruction.

When combined with computational approaches, fluorescence imaging becomes one of the most powerful tools in biomedical research. It is possible to achieve resolution figures beyond the diffraction limit, and improve the performance and flexibility of high-resolution imaging systems with techniques such as structured illumination microscopy (SIM) reconstruction. In this study, the hardware and software implementation of an LED-based super-resolution imaging system using SIM employing GPU accelerated parallel image reconstruction is presented. The sample is illuminated with two-dimensional sinusoidal patterns with various orientations and lateral phase shifts generated using a digital micromirror device (DMD). SIM reconstruction is carried out in frequency space using parallel CUDA kernel functions. Furthermore, a general purpose toolbox for the parallel image reconstruction algorithm and an infrastructure that allows all users to perform parallel operations on images without developing any CUDA kernel code is presented. The developed image reconstruction algorithm was run separately on a CPU and a GPU. Two different SIM reconstruction algorithms have been developed for the CPU as mono-thread CPU algorithm and multi-thread OpenMP CPU algorithm. SIM reconstruction of 1024 × 1024 px images was achieved in 1.49 s using GPU computation, indicating an enhancement by ∼28 and ∼20 in computation time when compared with mono-thread CPU computation and multi-thread OpenMP CPU computation, respectively.