A Review on Multiparameter Sensor Design for Biomedical SoC Applications

被引:0
作者
Kulkarni, Sahana M. [1 ]
Jamuna, S. [1 ]
机构
[1] Dayananda Sagar Coll Engn, Dept Elect & Commun, Bangalore, Karnataka, India
来源
SOFT COMPUTING FOR SECURITY APPLICATIONS, ICSCS 2022 | 2023年 / 1428卷
关键词
Cardiovascular disease (CVD); Photoplethysmography (PPG); Digital signal processing; Sensors; Biomedical application; SIGNALS; ADC;
D O I
10.1007/978-981-19-3590-9_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The wearable gadgets can continuously monitor vital signs and provide accurate diagnoses with fewer errors. The advent of these devices is due to continuous technological advancements. With a decrease in computer and sensor costs, many wearable devices use low-cost non-invasive sensors. In such a case, the data can be transmitted that can be analyzed by the doctor at another place. The latest technology allows people to communicate their health information to physicians. This will help bring an improvement in monitoring ailments, tracking, and avoiding any serious condition. These kinds of systems also help the person wearing the device to monitor their health conditions in real time, helping to stay fit. To obtain continuous monitoring of biomedical signals, many researchers have concentrated their studies on wearable body sensor networks (WBSNs) and wearable devices. The goal of the current review paper is to evaluate various studies based on the importance of biomedical signals for cardiovascular disease detection. The paper focuses on wearable devices, which have revolutionized the traditional methods of the healthcare system.
引用
收藏
页码:165 / 180
页数:16
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