Prototype Design of An IoT Enabled Cost-Efficient Portable Heart-Health Data Acquisition System

Maity, Arnab; Misra, Iti Saha

doi:10.1109/calcon49167.2020.9106515

Cited by 3 publications

(1 citation statement)

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“…Many scholars have also carried out researches on ECG monitoring based on the IoT. Most recently, Maity and Misra [5] proposed a more comprehensive patient data collection system by using specified sensors (HBR, ECG, and Heart sound), which can be applied in the remote monitoring and prevention of cardiovascular…”

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A Deep Segmentation Network of Stent Structs Based on IoT for Interventional Cardiovascular Diagnosis

Huang

Zong

Chen

et al. 2021

IEEE Wireless Commun.

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The Internet of Things (IoT) technology has been widely introduced to the existing medical system. An eHealth system based on IoT devices has gained widespread popularity. In this article, we propose an IoT eHealth framework to provide an autonomous solution for patients with interventional cardiovascular diseases. In the framework, the wearable sensors are used to collect a patient's health data, which is daily monitored by a remote doctor. When the monitoring data is abnormal, the remote doctor will ask for image acquisition of the patient's cardiovascular internal conditions. We leverage edge computing to classify these training images by the local base classifier, thereafter, the pseudo-labels are generated according to its output. Moreover, a deep segmentation network is leveraged for the segmentation of stent structs in the intravascular optical coherence tomography (IVOCT) and intravenous ultrasound (IVUS) images of patients. The experimental results demonstrate that the remote and local doctors perform real-time visual communication to complete the telesurgery. In the experiments, we adopt the U-net backbone with a pretrained SeResNet34 as the encoder to segment the stent structs. Meanwhile, a series of comparative experiments have been conducted to demonstrate the effectiveness of our method based on accuracy, sensitivity, jaccard, and dice. LITERATURE REVIEWIoT Architecture for Healthcare Systems: In recent years, the potential viability and widespread use of electronic healthcare systems have set off a revolution in the field of healthcare. The aging of the global population and the increase in the number of patients are the two main factors driving this revolution.Moreover, the birth of IoT technology has brought a huge impact on the health care system. The decision support system based on the IoT is a typical part of recent healthcare [4]. Through this system, a patient's health is recorded to gain a deeper understanding of the patient's status for clinical decisions. Chatterjee et al. [4] ascertained the risk groups by embedding the logic of a Framingham score into the reasoning engine, where an input of a patient with all the parameters considered would return the risk score. However, they did not propose an efficient method of data collection in their research, and the proposed analysis system for running data is non-automated. With the advent of high-precision sensors and medical devices in the IoT, they can be regarded as smart devices or objects that constitute the core part of the IoT. The IoT devices are able to connect patients, clinics, and healthcare organizations seamlessly and securely via the Internet, making IoT based eHealth system a research trend. For patients with cardiovascular disease, doctors usually make a diagnosis based on certain parameters such as Electrocardiogram (ECG) signal, blood pressure, body temperature, and heart beat rate (HBR). Many scholars have also carried out researches on ECG monitoring based on the IoT. Most recently, Maity and Misra [5] proposed a more com...

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confidence: 99%