Scalar invariant transform based deep learning framework for detecting heart failures using ECG signals.

Heart diseases are leading to death across the globe. Exact detection and treatment for heart disease in its early stages could potentially save lives. Electrocardiogram (ECG) is one of the tests that take measures of heartbeat fluctuations. The deviation in the signals from the normal sinus rhythm and different variations can help detect various heart conditions. This paper presents a novel approach to cardiac disease detection using an automated Convolutional Neural Network (CNN) system. Leveraging the Scale-Invariant Feature Transform (SIFT) for unique ECG signal image feature extraction, our model classifies signals into three categories: Arrhythmia (ARR), Congestive Heart Failure (CHF), and Normal Sinus Rhythm (NSR). The proposed model has been evaluated using 96 Arrhythmia, 30 CHF, and 36 NSR ECG signals, resulting in a total of 162 images for classification. Our proposed model achieved 99.78% accuracy and an F1 score of 99.78%, which is among one of the highest in the models which were recorded to date with this dataset. Along with the SIFT, we also used HOG and SURF techniques individually and applied the CNN model which achieved 99.45% and 78% accuracy respectively which proved that the SIFT-CNN model is a well-trained and performed model. Notably, our approach introduces significant novelty by combining SIFT with a custom CNN model, enhancing classification accuracy and offering a fresh perspective on cardiac arrhythmia detection. This SIFT-CNN model performed exceptionally well and better than all existing models which are used to classify heart diseases.

Comparison of HOTV optotypes and Lea Symbols: a systematic review and meta-analysis.

PURPOSE: To report the findings of our systematic review and meta-analysis comparing the completion time and testing time of visual acuity testing using Lea Symbols or HOTV optotypes. METHODS: A systematic search of PubMed, SCOPUS, and CINAHL was conducted according to the PRISMA guidelines. RESULTS: The completion rate for HOTV optotypes and Lea Symbols visual acuity testing was reported for 7,948 patients (average age, 3.59 years; age range, 2-17; 49.96% females). The 3-year-olds' completion rate of HOTV was 74.09% (47.93%-93.29%), compared with a Lea Symbols completion rate of 77.80% (53.93%-94.57%). The 4-year-olds' completion rate was 88.20% (63.48%-99.73%) for HOTV and 90.118% (67.42%-99.90%) for Lea Symbols. In 3-year-olds, the mean testing time was 118.33 ± 6.54 seconds for HOTV and 120.33 ± 6.53 seconds for Lea Symbols (P < 0.0001). The difference in testing times in the 4-year-old age group was also statistically significant (86.98 ± 6.12 seconds for HOTV and 94.32 ± 6.57 seconds for Lea symbols) (P < 0.0001). CONCLUSIONS: There was a statistically significant difference in the testing times between the HOTV optotypes and Lea Symbols in both the 3- and 4-year-old age groups; however, the difference of 2-7 seconds on average is unlikely to be clinically significant. Testing speed and completion rate improve with age for both tests.

Recurrence rate of pleomorphic adenoma of the lacrimal gland: systematic review and meta-analysis.

PURPOSE: The aim is to increase the understanding of lacrimal gland pleomorphic adenoma's recurrence rate and the factors that influence it. METHODS: A systematic search of PubMed, SCOPUS, Cochrane Library, and CINAHL was conducted following PRISMA guidelines. The data in the included studies were extracted and analyzed. RESULTS: Twenty-two studies were included representing 963 patients from 12 different countries. The pooled analysis of the recurrence rate was 8.83% (95% CI: 5.08-13.50). In the event of recurrence, there was a 75.17% (95% CI: 65.98-82.94) chance of benign recurrence and a 28.35% (95% CI: 19.66-38.41) chance of malignant recurrences, with malignant recurrence occurring almost exclusively after a benign recurrence. The results showed that 47.09% (95% CI: 24.60 to 70.22) of recurrent tumors had a ruptured pseudocapsule and 6.35% (95% CI: 0.82 to 16.54) had an intact pseudocapsule with a significant difference between the two. Of the recurrent tumors, 51.50% (95% CI: 9.28 to 92.39) were biopsied compared to 8.83% (95% CI: 3.40 to 16.49) of the total; the difference between these two proportions was also found to be significant. CONCLUSION: There was a statistically significant difference in the rates of recurrence between tumors that were either biopsied or had a ruptured pseudocapsule compared to those that did not. This evidence adds additional support for excisional biopsy being the procedure of choice for LGPA and reinforces the importance of keeping the pseudocapsule intact during surgical resection.

Biological Synthesis of PbS, As3S4, HgS, CdS Nanoparticles using Pseudomonas aeruginosa and their Structural, Morphological, Photoluminescence as well as Whole Cell Protein Profiling Studies.

Metal sulfide nanoparticles are semi-conductors that possess many applications in optics, optoelectronics and magnetic devices. There are physical and chemical methods for their synthesis but such methods involve toxic precursors as well as many obnoxious by-products. Hence, biological synthesis of metal sulfide nanoparticles are efficient enough to transform toxic metals to non-toxic ones. Pseudomonas aeruginosa, isolated from textile effluent and tolerant of high levels of heavy metals, was used for the green synthesis of metal sulfide (HgS, As3S4, CdS and PbS) nanoparticles. The optical, structural and morphological nature of metal sulfide nanoparticles was also determined. FTIR (Fourier Transform Infra-red) analysis showed spectral changes when P. aeruginosa was grown in medium containing heavy metals viz. Hg, As, Pb and Cd indicating that there are functional groups viz. carboxyl, hydroxyl, phosphate, amino and amide, that exists on the surface of the bacteria, thus facilitating binding of metals on its surface. The bacterial samples which were treated with different metals at different concentrations, were subjected to whole cell protein analysis using SDS-PAGE (Sodium dodecyl Sulphate- Polyacrylamide gel electrophoresis) and protein profiling. The total protein estimation revealed that there was an increase in the protein concentration in the presence of heavy metals and a significant change in the banding pattern was observed which showed induction of a set of proteins under heavy metal stress especially mercury.

Toxicity mechanism of Cu2+ ion individually and in combination with Zn2+ ion in characterizing the molecular changes of Staphylococcus aureus studied using FTIR coupled with chemometric analysis.

Copper and zinc have a high binding affinity with a Staphylococcus aureus bacterial community. This causes a change in the biomolecular composition of S. aureus. Our study aims at understanding the resistance mechanism of Cu and Zn either or in various combinations using FTIR and chemometric techniques. Zn toxicity resulted in a significant change in lipid content (3100-2800 cm-1) compared to Cu. A significant decrease in protein content is observed for Cu treatment in the amide region. The bio-concentration factor shows a higher value for Cu compared to Zn. The increase in band area of carbohydrates moieties 1059 cm-1 shows the secretion of EPS due to Cu toxicity. A significant change in nucleic acid compositions was noted in the region1200-900 cm-1 due to Zn treatment. Secondary structural change in protein shows ß sheet formation. The result of the finding shows Cu has greater toxicity than Zn. Further toxicity effects were greatly enhanced for metal mixtures ratio (Cu:2Zn). This shows Zn exhibits synergism effect with Cu. The obtained ROC (receiver operating characteristic) curve area gives good reliability of the experiments. The study attempts to understand the mechanism of toxicity removal of Cu and Zn metal mixtures by bacterial population using FTIR coupled with chemometric techniques. Graphical abstract.

Acute Pain Management Following Head and Neck Surgery.

Acute pain management following major head and neck (HN) surgery is complex. Multimodal analgesia (MMA) regimens including acetaminophen, nonsteroidal anti-inflammatory drugs, gabapentinoids, and locoregional anesthetics are safe and effective in this population (including patients undergoing HN free flap surgery). Special considerations for patients undergoing HN free flap surgery include judicious use of steroids and attention to donor site pain. Evidence for specific analgesic regimens following transoral robotic surgery is limited but should include MMA and perioperative dexamethasone. Further study is required to optimize combinations, dosages, and duration of perioperative analgesia medications, opioid and nonopioid, for patients undergoing major HN surgery.

Individual and combined toxic effect of nickel and chromium on biochemical constituents in E. coli using FTIR spectroscopy and Principle component analysis.

Ni and Cr are ubiquitous pollutants in the aquatic environments. These heavy metals elicit toxicities to aquatic organisms including microbes. In this study, interaction of the two heavy metals on the toxicity in Escherichia coli (E. coli) was studied using FTIR spectroscopy. The binding of Ni(II) to E. coli was stronger than that for Cr(VI). Cr exhibited antagonistic effects in the presence of Ni in E. coli. FTIR analysis showed a decrease in lipid content in the presence of Ni and not for Cr. Further, a decrease in band area was observed in the region of 3000-2800cm(-1) and at ~1455cm(-1) due to a decrease in fatty acids and lipid molecules. The band area ratio of lipid was used to monitor the changes in fatty acids due to metal toxicity. Principle component method helps to discriminates the results between control and metal toxicities in E. coli from the FTIR data. The study shows the importance of metal interaction and its toxicity on E. coli.