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Posted: February 4th, 2023

IoT Enabled Devices with Online Data Analytics for Patients with Cardiovascular Disease

IoT Enabled Devices with Online Data Analytics for Patients with Cardiovascular Disease

Cardiovascular disease (CVD) is a major cause of mortality and morbidity worldwide. According to the World Health Organization, CVD is responsible for 17.9 million deaths per year, accounting for 31% of all global deaths [1]. CVD encompasses a range of conditions that affect the heart and blood vessels, such as coronary artery disease, stroke, heart failure, arrhythmia, and congenital heart defects. CVD can be prevented or managed by adopting healthy lifestyle habits, such as quitting smoking, eating a balanced diet, exercising regularly, and controlling blood pressure and cholesterol levels. However, many people with CVD do not have access to adequate health care services or face barriers to adherence to treatment and self-care [2].

Internet of Things (IoT) is a technology that enables the interconnection of physical devices, such as sensors, actuators, and smart phones, with the internet and cloud computing platforms. IoT has the potential to transform the delivery of health care services by enabling remote monitoring, diagnosis, and intervention for patients with chronic conditions, such as CVD [3]. IoT enabled devices can collect various physiological and environmental data from patients, such as heart rate, blood pressure, oxygen saturation, activity level, location, and air quality. These data can be transmitted to online data analytics platforms that can process and analyze them using advanced algorithms and artificial intelligence. The results can then be write my essay communicated to patients, caregivers, and health care providers through feedback mechanisms, such as alerts, notifications, recommendations, and reports. This can facilitate timely detection of abnormal events or trends, personalized risk assessment and management, and evidence-based decision making [4].

IoT enabled devices with online data analytics can offer several benefits for patients with CVD, such as:

– Improved access to health care: IoT enabled devices can enable patients to monitor their health status and receive guidance and support from health care providers without visiting a clinic or hospital. This can reduce travel costs and time, increase convenience and comfort, and overcome geographical and socio-economic barriers to health care access [5].
– Enhanced quality of care: IoT enabled devices can provide continuous and real-time data that can reflect the dynamic changes in the patient’s condition and environment. This can enable more accurate and timely diagnosis and intervention, as well as more effective evaluation of treatment outcomes and quality indicators [6].
– Increased patient engagement: IoT enabled devices can empower patients to take an active role in their own health care by providing them with feedback and education on their health status and risk factors. This can increase their awareness, motivation, and self-efficacy to adopt healthy behaviors and adhere to treatment plans [7].
– Reduced health care costs: IoT enabled devices can reduce the need for hospitalization, emergency visits, and medication use by preventing or delaying the onset or progression of CVD complications. This can lower the direct and indirect costs associated with CVD for patients, health care providers, and society [8].

However, IoT enabled devices with online data analytics also pose several challenges and limitations for patients with CVD, such as:

– Privacy and security risks: IoT enabled devices can generate large amounts of sensitive personal data that can be vulnerable to unauthorized access or misuse by hackers, insurers, employers, or other third parties. This can compromise the privacy and confidentiality of patients and expose them to potential harm or discrimination [9].
– Data quality and reliability issues: IoT enabled devices can produce data that are incomplete, inaccurate, inconsistent, or irrelevant due to device malfunction, human error, environmental interference, or algorithm bias. This can affect the validity and reliability of the data analysis and feedback, leading to false positives or negatives, misdiagnosis or mismanagement of CVD [10].
– Ethical and legal dilemmas: IoT enabled devices can raise ethical and legal questions regarding the ownership, consent,


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