{"title":"转变心血管护理-生物传感器及其潜力:综述","authors":"Jegan Rajendran;Gymama Slaughter","doi":"10.1109/JSEN.2025.3559473","DOIUrl":null,"url":null,"abstract":"The increasing global prevalence of cardiovascular diseases (CVDs) stresses the urgent need for cost effective, portable, and reliable biosensors to monitor cardiac health and detect disease biomarkers in real time. Recent advancements in the biosensor technology have harnessed flexible nanomaterials, chemical molecules, and integrated electronic circuits, enabling the development of compact and efficient medical devices. These innovations are driving the transition of biosensing techniques from laboratory settings to practical, real-world applications, including wearable and point-of-care (POC) devices. The seamless integration of biosensors with the human body allows for continuous, real-time cardiac monitoring, utilizing both invasive and noninvasive measurement techniques to detect critical cardiac biomarkers. Such devices enable early detection of CVDs and facilitate timely intervention, significantly improving patient outcomes. This review provides a comprehensive analysis of state-of-the-art biosensing methods for multimodal cardiac monitoring and diagnostics, highlighting recent progress in sensor development and integration with digital processors for cardiac biomarker screening. The hardware and software architectures involved in designing biosensors are also examined, with a focus on their application in tracking cardiac blood biomarkers and heartbeat signals. By evaluating current advancements, this review offers valuable insights for innovation in next-generation medical devices for early detection and continuous monitoring of cardiovascular conditions.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 10","pages":"16593-16613"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transforming Cardiovascular Care–Biosensors and Their Potential: A Review\",\"authors\":\"Jegan Rajendran;Gymama Slaughter\",\"doi\":\"10.1109/JSEN.2025.3559473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing global prevalence of cardiovascular diseases (CVDs) stresses the urgent need for cost effective, portable, and reliable biosensors to monitor cardiac health and detect disease biomarkers in real time. Recent advancements in the biosensor technology have harnessed flexible nanomaterials, chemical molecules, and integrated electronic circuits, enabling the development of compact and efficient medical devices. These innovations are driving the transition of biosensing techniques from laboratory settings to practical, real-world applications, including wearable and point-of-care (POC) devices. The seamless integration of biosensors with the human body allows for continuous, real-time cardiac monitoring, utilizing both invasive and noninvasive measurement techniques to detect critical cardiac biomarkers. Such devices enable early detection of CVDs and facilitate timely intervention, significantly improving patient outcomes. This review provides a comprehensive analysis of state-of-the-art biosensing methods for multimodal cardiac monitoring and diagnostics, highlighting recent progress in sensor development and integration with digital processors for cardiac biomarker screening. The hardware and software architectures involved in designing biosensors are also examined, with a focus on their application in tracking cardiac blood biomarkers and heartbeat signals. 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Transforming Cardiovascular Care–Biosensors and Their Potential: A Review
The increasing global prevalence of cardiovascular diseases (CVDs) stresses the urgent need for cost effective, portable, and reliable biosensors to monitor cardiac health and detect disease biomarkers in real time. Recent advancements in the biosensor technology have harnessed flexible nanomaterials, chemical molecules, and integrated electronic circuits, enabling the development of compact and efficient medical devices. These innovations are driving the transition of biosensing techniques from laboratory settings to practical, real-world applications, including wearable and point-of-care (POC) devices. The seamless integration of biosensors with the human body allows for continuous, real-time cardiac monitoring, utilizing both invasive and noninvasive measurement techniques to detect critical cardiac biomarkers. Such devices enable early detection of CVDs and facilitate timely intervention, significantly improving patient outcomes. This review provides a comprehensive analysis of state-of-the-art biosensing methods for multimodal cardiac monitoring and diagnostics, highlighting recent progress in sensor development and integration with digital processors for cardiac biomarker screening. The hardware and software architectures involved in designing biosensors are also examined, with a focus on their application in tracking cardiac blood biomarkers and heartbeat signals. By evaluating current advancements, this review offers valuable insights for innovation in next-generation medical devices for early detection and continuous monitoring of cardiovascular conditions.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice