Smart solutions in hypertension diagnosis and management: a deep dive into artificial intelligence and modern wearables for blood pressure monitoring.

IF 1.2 4区 医学 Q4 PERIPHERAL VASCULAR DISEASE
Blood Pressure Monitoring Pub Date : 2024-10-01 Epub Date: 2024-06-17 DOI:10.1097/MBP.0000000000000711
Anubhuti Juyal, Shradha Bisht, Mamta F Singh
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引用次数: 0

Abstract

Hypertension, a widespread cardiovascular issue, presents a major global health challenge. Traditional diagnosis and treatment methods involve periodic blood pressure monitoring and prescribing antihypertensive drugs. Smart technology integration in healthcare offers promising results in optimizing the diagnosis and treatment of various conditions. We investigate its role in improving hypertension diagnosis and treatment effectiveness using machine learning algorithms for early and accurate detection. Intelligent models trained on diverse datasets (encompassing physiological parameters, lifestyle factors, and genetic information) to detect subtle hypertension risk patterns. Adaptive algorithms analyze patient-specific data, optimizing treatment plans based on medication responses and lifestyle habits. This personalized approach ensures effective, minimally invasive interventions tailored to each patient. Wearables and smart sensors provide real-time health insights for proactive treatment adjustments and early complication detection.

高血压诊断和管理的智能解决方案:深入探讨人工智能和现代可穿戴血压监测设备。
高血压是一个普遍存在的心血管问题,对全球健康构成重大挑战。传统的诊断和治疗方法包括定期监测血压和开具降压药。智能技术在医疗保健领域的应用为优化各种疾病的诊断和治疗带来了可喜的成果。我们利用机器学习算法研究其在提高高血压诊断和治疗效果方面的作用,以实现早期准确检测。智能模型在不同的数据集(包括生理参数、生活方式因素和遗传信息)上进行训练,以检测微妙的高血压风险模式。自适应算法分析患者的特定数据,根据药物反应和生活习惯优化治疗方案。这种个性化方法可确保为每位患者量身定制有效的微创干预措施。可穿戴设备和智能传感器可提供实时健康信息,以便主动调整治疗方案和早期发现并发症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Blood Pressure Monitoring
Blood Pressure Monitoring 医学-外周血管病
CiteScore
2.00
自引率
7.70%
发文量
110
审稿时长
>12 weeks
期刊介绍: Blood Pressure Monitoring is devoted to original research in blood pressure measurement and blood pressure variability. It includes device technology, analytical methodology of blood pressure over time and its variability, clinical trials - including, but not limited to, pharmacology - involving blood pressure monitoring, blood pressure reactivity, patient evaluation, and outcomes and effectiveness research. This innovative journal contains papers dealing with all aspects of manual, automated, and ambulatory monitoring. Basic and clinical science papers are considered although the emphasis is on clinical medicine. Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.
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