Recent Advances in Cardiovascular Disease Biosensors and Monitoring Technologies

Lichao Tang1,2, Jiyuan Yang1,3, Yuxi Wang1,4

  • 1Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

ACS Sensors
|March 9, 2023
PubMed

Insights

Early diagnosis of cardiovascular disease (CVD) is crucial for reducing mortality. Novel biosensors offer rapid, continuous monitoring of cardiac biomarkers and heartbeat signals, improving upon traditional methods.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cardiology

Background:

  • Cardiovascular disease (CVD) is a leading global cause of mortality.
  • Traditional CVD diagnosis involves inconvenient, time-consuming hospital-based electrocardiography and immunoassay analysis.
  • There is a critical need for accessible and rapid CVD detection methods.

Purpose of the Study:

  • To review the current landscape of biosensing technologies for cardiovascular disease.
  • To summarize common CVD categories, cardiac biomarkers, and heartbeat signal analysis.
  • To introduce emerging wearable and implantable biosensors for continuous CVD monitoring.

Main Methods:

  • Review of prevalence and categories of CVD.
  • Summary of clinical cardiac biomarkers and heartbeat signals for prognosis.
  • Introduction and comparison of various biosensing methodologies (chemical, electrochemical, optical, electromechanical).
  • Discussion of emerging wearable and implantable biosensors.

Main Results:

  • Biosensing technologies enable rapid screening, accurate quantification, and continuous monitoring of CVD markers.
  • Advancements in nanotechnology and bioelectronics are driving novel biosensor platforms.
  • Wearable and implantable devices offer potential for real-time CVD monitoring.

Conclusions:

  • Biosensors represent a significant advancement over traditional CVD diagnostic tools.
  • Future research should focus on optimizing biosensor performance and integration for comprehensive CVD management.
  • Continuous monitoring via biosensors can lead to improved patient outcomes and reduced CVD mortality.

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