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Pacemaker post transcatheter aortic valve replacement:A multifactorial risk?
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作者 Stephane Noble Karim Bendjelid 《World Journal of Cardiology》 2024年第4期168-172,共5页
Pacemaker post-transcatheter aortic valve replacement is related to multifactorial risk.Nwaedozie et al brought to the body of evidence electrocardiogram and clinical findings.However,procedural characteristics have a... Pacemaker post-transcatheter aortic valve replacement is related to multifactorial risk.Nwaedozie et al brought to the body of evidence electrocardiogram and clinical findings.However,procedural characteristics have at least as much impact on the final need for a permanent pacemaker and potentially on the pacing rate.In this regard,long-term follow-up and understanding of the impact of long-term stimulation is of utmost importance. 展开更多
关键词 Transcatheter aortic valve replacement Permanent pacemaker implantation Conduction abnormalities right bundle branch block Left bundle branch block
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Inadvertent Lead Malposition in the Left Ventricle during Permanent Ventricular Pacing about One Case
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作者 Khadidiatou Dia Waly Niang Mboup +5 位作者 Serigne Cheikh Tidiane Ndao Mame Madjiguene Ka Rabab Yassine Djibril Marie Ba Demba Ware Balde Mouhamed Cherif Mboup 《World Journal of Cardiovascular Diseases》 2023年第11期756-763,共8页
Inadvertent Lead Malposition in Left Ventricle is a rare and underdiagnosed incident, which may occur during implantation of cardiac electronic devices and may remain asymptomatic. We reported the case of a 71-year-ol... Inadvertent Lead Malposition in Left Ventricle is a rare and underdiagnosed incident, which may occur during implantation of cardiac electronic devices and may remain asymptomatic. We reported the case of a 71-year-old man who was implanted with a ventricular single-chamber pacemaker for a slow atrial fibrillation with syncope and whose routine transthoracic echocardiography 23 months after implantation displayed a malposition of the pacemaker lead into the Left Ventricle through a patent foramen oval. The patient was asymptomatic. The electrocardiogram showed right bundle branch block QRS-paced morphology with a positive QRS pattern in V1, a median paced QRS axis on the frontal plane at -120°, a Precordial transition on V5. At the lateral Chest X-ray the lead curved backwards to the spine. Given the age of this old patient who already received oral anticoagulant for Atrial Fibrillation and the Lead malposition discovered 23 months after pacemaker’s implantation, we decided to maintain the lead in LV and continue anticoagulation. 展开更多
关键词 Lead Malposition Left Ventricle Lead right bundle branch Block Ventricu-lar Pacing Transthoracic Echocardiography
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A Healthcare System for Internet of Things (IoT) Application: Machine Learning Based Approach
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作者 M. Mamun-Ibn-Abdullah M. Humayun Kabir 《Journal of Computer and Communications》 2021年第7期21-30,共10页
Internet of things (IoT) has become an interesting topic in the field of technological research. It is basically interconnecting of devices with each other over the internet. Beside its general use in terms of autonom... Internet of things (IoT) has become an interesting topic in the field of technological research. It is basically interconnecting of devices with each other over the internet. Beside its general use in terms of autonomous cars and smart homes, but some of the best applications of IoT technology in fields of health care monitoring is worth mentioning. The main purpose of this research work is to provide comport services for patients. It can be used to promote basic nursing care by improving the quality of care and patient safety from patient home environment. Rural area of a country lacks behind the proper patient monitoring system. So, remote monitoring and prescribing by sharing medical information in an authenticated manner is very effective for betterment of medical facilities in rural area. We have proposed a healthcare system which can analyze ECG report using supervise machine learning techniques. Analyzing report can be stored in cloud platform which can be further used to prescribe by the experienced medical practitioner. For performance evaluation, ECG data is analyzed using six supervised machine learning algorithms. Data sets are divided into two groups: 75 percent data for training the model and rest 25 percent data for testing. To avoid any kind of anomalies or repetitions, cross validation and random train-test split was used to obtain the result as accurate as possible. 展开更多
关键词 Internet of Things (IoT) Healthcare ECG Signal right bundle branch Block (RBBB)
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Electrocardiographic findings in leads V_(3R) to V_(5R) in patients with a slurred or notched S wave in lead V_1
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作者 詹中群 王崇全 +2 位作者 何朝荣 王治校 毛山 《South China Journal of Cardiology》 CAS 2013年第2期102-108,共7页
Background Right bundle branch block (RBBB) may present as slurred or notched S wave in lead V1. However, slurred or notched S wave may also represent slow conduction in the myocardium. Methods We retrospectively an... Background Right bundle branch block (RBBB) may present as slurred or notched S wave in lead V1. However, slurred or notched S wave may also represent slow conduction in the myocardium. Methods We retrospectively analyzed the QRS patterns in leads VgR to V5R in 7 patients with a slurred or notched S wave in lead V1. Results In the leads V3R to VSR, 6 patients showed incomplete or complete RBBB and 1 patient slurred or notched S wave. Conclusions In the majority of ECGs in a small patient series with slurred or notched S wave in lead V1, QRS morphology indicating incomplete or complete RBBB was present in leads V3R to VSR. A finding of fragmented QRS in these leads may indicate slow conduction in the myocardium. 展开更多
关键词 slurred S wave lead V1 notched S wave lead V1 right bundle branch block
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