A GI Proposal to Display ECG Digital Signals Wirelessly Real-time Transmitted onto a Remote PC

The sensors, as wireless communication system, comply the 7-layer model Open Systems Interconnection (OSI). In this paper, a point-to-point transmission model was used. The ECG signal is transmitted from the Router Sensor (RS) to an end Coordinator Node (CN) plugged-in to the laptop via USB port; RS acquires ECG signal in analogical mode, and is also responsible with sampling, quantization and sending it wirelessly direct to CN. The distance between RS and CN is a single-hop transmission, and does not exceed the range of the XBeeS2Pro transceivers. The communication protocol is ZigBee. Remote viewing of the transmitted signal is performed on a Graphical Interface (GI) written under MATLAB, after the signal has been digitized; the choice of MATLAB was motivated by future developments. Particular aspects will be highlighted, so that the reader to be edified about the results obtained during laboratory experiments. Recording demonstrate that the purpose exposed in title has been reached: Direct link in Real-Time was established, and the digital ECG signal received is reconstituted accurately on MATLAB GI; signal received on laptop is compared with the analog signal displayed on oscilloscope

Uric Acid, Oxidative Stress and Inflammation in Chronic Heart Failure with Reduced Ejection Fraction

Background. Oxidative stress (OS) and inflammation are major mechanisms involved in the progression of chronic heart failure (CHF). Serum uric acid (sUA) is related to CHF severity and could represent a marker of xanthine-oxidase activation. The relationship between sUA, oxidative stress (OS) and inflammation markers was assessed in patients with moderate-severe CHF and reduced left ventricular (LV) ejection fraction (EF)

A GI Proposal to Display ECG Digital Signals Wirelessly Real-time Transmitted onto a Remote PC

The sensors, as wireless communication system, comply the 7-layer model Open Systems Interconnection (OSI). In this paper, a point-to-point transmission model was used. The ECG signal is transmitted from the Router Sensor (RS) to an end Coordinator Node (CN) plugged-in to the laptop via USB port; RS acquires ECG signal in analogical mode, and is also responsible with sampling, quantization and sending it wirelessly direct to CN. The distance between RS and CN is a single-hop transmission, and does not exceed the range of the XBeeS2Pro transceivers. The communication protocol is ZigBee. Remote viewing of the transmitted signal is performed on a Graphical Interface (GI) written under MATLAB, after the signal has been digitized; the choice of MATLAB was motivated by future developments. Particular aspects will be highlighted, so that the reader to be edified about the results obtained during laboratory experiments. Recording demonstrate that the purpose exposed in title has been reached: Direct link in Real-Time was established, and the digital ECG signal received is reconstituted accurately on MATLAB GI; signal received on laptop is compared with the analog signal displayed on oscilloscope

A Rare Cause of Deep Vein Thrombosis in a Young Orchestra Conductor

Upper extremity deep vein thrombosis (DVT) of the axillary/subclavian veins is rare (5–10% of DVT). After clinical suspicion and duplex ultrasound, anticoagulation, surgical decompression and sometimes thrombolysis are mandatory due to complications. We discuss the case of a young healthy orchestra conductor with primary DVT of the left upper extremity and concomitant left shoulder musculo-tendinous traumatic injury. Symptoms of both conditions and subtle signs of upper extremity DVT delayed the diagnosis until full-blown DVT occurred. After successful anticoagulation and surgical TOS (thoracic outlet syndrome) decompression, evolution was favorable, without recurrent thrombosis

Imagistic findings using artificial intelligence in vaccinated versus unvaccinated SARS-CoV-2-positive patients receiving in-care treatment at a tertiary lung hospital

Abstract: Background: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact. Materials and Methods: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai. The software analyzes the CT scans, performing the lung and lesion segmentation using a variant of the U-net convolutional network. Results: We conducted a cohort study at a tertiary lung hospital in which we included 186 patients: 107 (57.52%) male and 59 (42.47%) females, of which 157 (84.40%) were not vaccinated for SARS-CoV-2. Over five times more unvaccinated patients than vaccinated ones are admitted to the hospital and require imaging investigations. More than twice as many unvaccinated patients have more than 75% of the lungs affected. Patients in the age group 30-39 have had the most lung lesions at almost 69% of both lungs affected. Compared to vaccinated patients with comorbidities, unvaccinated patients with comorbidities had developed increased lung lesions by 5%. Conclusion: The study revealed a higher percentage of lung lesions among unvaccinated SARS-CoV-2-positive patients admitted to The National Institute of Pulmonology "Marius Nasta" in Bucharest, Romania, underlining the importance of vaccination and also the usefulness of artificial intelligence in CT interpretation

Imagistic Findings Using Artificial Intelligence in Vaccinated versus Unvaccinated SARS-CoV-2-Positive Patients Receiving In-Care Treatment at a Tertiary Lung Hospital

Background: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact. Materials and Methods: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai. The software analyzes the CT scans, performing the lung and lesion segmentation using a variant of the U-net convolutional network. Results: We conducted a cohort study at a tertiary lung hospital in which we included 186 patients: 107 (57.52%) male and 59 (42.47%) females, of which 157 (84.40%) were not vaccinated for SARS-CoV-2. Over five times more unvaccinated patients than vaccinated ones are admitted to the hospital and require imaging investigations. More than twice as many unvaccinated patients have more than 75% of the lungs affected. Patients in the age group 30–39 have had the most lung lesions at almost 69% of both lungs affected. Compared to vaccinated patients with comorbidities, unvaccinated patients with comorbidities had developed increased lung lesions by 5%. Conclusion: The study revealed a higher percentage of lung lesions among unvaccinated SARS-CoV-2-positive patients admitted to The National Institute of Pulmonology “Marius Nasta” in Bucharest, Romania, underlining the importance of vaccination and also the usefulness of artificial intelligence in CT interpretation

A Survey of Empirical Results on Program Slicing

International audienceBACKGROUND:Patients with peripheral artery disease have an increased risk of cardiovascular morbidity and mortality. Antiplatelet agents are widely used to reduce these complications.METHODS:This was a multicentre, double-blind, randomised placebo-controlled trial for which patients were recruited at 602 hospitals, clinics, or community practices from 33 countries across six continents. Eligible patients had a history of peripheral artery disease of the lower extremities (previous peripheral bypass surgery or angioplasty, limb or foot amputation, intermittent claudication with objective evidence of peripheral artery disease), of the carotid arteries (previous carotid artery revascularisation or asymptomatic carotid artery stenosis of at least 50%), or coronary artery disease with an ankle-brachial index of less than 0·90. After a 30-day run-in period, patients were randomly assigned (1:1:1) to receive oral rivaroxaban (2·5 mg twice a day) plus aspirin (100 mg once a day), rivaroxaban twice a day (5 mg with aspirin placebo once a day), or to aspirin once a day (100 mg and rivaroxaban placebo twice a day). Randomisation was computer generated. Each treatment group was double dummy, and the patient, investigators, and central study staff were masked to treatment allocation. The primary outcome was cardiovascular death, myocardial infarction or stroke; the primary peripheral artery disease outcome was major adverse limb events including major amputation. This trial is registered with ClinicalTrials.gov, number NCT01776424, and is closed to new participants.FINDINGS:Between March 12, 2013, and May 10, 2016, we enrolled 7470 patients with peripheral artery disease from 558 centres. The combination of rivaroxaban plus aspirin compared with aspirin alone reduced the composite endpoint of cardiovascular death, myocardial infarction, or stroke (126 [5%] of 2492 vs 174 [7%] of 2504; hazard ratio [HR] 0·72, 95% CI 0·57-0·90, p=0·0047), and major adverse limb events including major amputation (32 [1%] vs 60 [2%]; HR 0·54 95% CI 0·35-0·82, p=0·0037). Rivaroxaban 5 mg twice a day compared with aspirin alone did not significantly reduce the composite endpoint (149 [6%] of 2474 vs 174 [7%] of 2504; HR 0·86, 95% CI 0·69-1·08, p=0·19), but reduced major adverse limb events including major amputation (40 [2%] vs 60 [2%]; HR 0·67, 95% CI 0·45-1·00, p=0·05). The median duration of treatment was 21 months. The use of the rivaroxaban plus aspirin combination increased major bleeding compared with the aspirin alone group (77 [3%] of 2492 vs 48 [2%] of 2504; HR 1·61, 95% CI 1·12-2·31, p=0·0089), which was mainly gastrointestinal. Similarly, major bleeding occurred in 79 (3%) of 2474 patients with rivaroxaban 5 mg, and in 48 (2%) of 2504 in the aspirin alone group (HR 1·68, 95% CI 1·17-2·40; p=0·0043).INTERPRETATION:Low-dose rivaroxaban taken twice a day plus aspirin once a day reduced major adverse cardiovascular and limb events when compared with aspirin alone. Although major bleeding was increased, fatal or critical organ bleeding was not. This combination therapy represents an important advance in the management of patients with peripheral artery disease. Rivaroxaban alone did not significantly reduce major adverse cardiovascular events compared with asprin alone, but reduced major adverse limb events and increased major bleeding