This chapter examines the application of graphene and its derivatives as non-invasive biophysical sensors, highlighting their potential in monitoring various health parameters owing to their superior electronic and mechanical properties. The versatility of graphene enables continuous, real-time observation of minor fluctuations in electrophysiological signals, such as electrocardiograms (ECG), electromyograms (EMG), electrooculograms (EOG), and electroencephalograms (EEG), alongside kinematic signals like pulse wave, joint movement, respiratory rate, and body temperature. This capability represents an improvement in personal healthcare, particularly in the early identification of conditions such as hypertension, arthritis, and respiratory disorders. The intrinsic nature of electrophysiological signals, generated by active cells through the movement of ions across membranes, resulting in resting and action potentials, is also presented. The accurate analysis of these signals is often negatively affected by technical challenges such as noise, weak signal strength, and high contact impedance. Consequently, the report presents the importance of electrode quality in bioelectrical signal measurement. It was suggested that optimal bioelectrical sensors should exhibit high accuracy, a robust signal-to-noise ratio (SNR), low impedance, a broad dynamic range, and exceptional durability. The synthesis of these characteristics in graphene-based electrode sensors positions them at the forefront of biomedical technology, potentially advancing diagnostic methodologies and patient monitoring systems in clinical settings.

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Application of Graphene as a Non-invasive Biophysical Sensor

  • Sourabhi Debnath,
  • Tanmoy Debnath,
  • Mohammad Ali Moni,
  • Manoranjan Paul

摘要

This chapter examines the application of graphene and its derivatives as non-invasive biophysical sensors, highlighting their potential in monitoring various health parameters owing to their superior electronic and mechanical properties. The versatility of graphene enables continuous, real-time observation of minor fluctuations in electrophysiological signals, such as electrocardiograms (ECG), electromyograms (EMG), electrooculograms (EOG), and electroencephalograms (EEG), alongside kinematic signals like pulse wave, joint movement, respiratory rate, and body temperature. This capability represents an improvement in personal healthcare, particularly in the early identification of conditions such as hypertension, arthritis, and respiratory disorders. The intrinsic nature of electrophysiological signals, generated by active cells through the movement of ions across membranes, resulting in resting and action potentials, is also presented. The accurate analysis of these signals is often negatively affected by technical challenges such as noise, weak signal strength, and high contact impedance. Consequently, the report presents the importance of electrode quality in bioelectrical signal measurement. It was suggested that optimal bioelectrical sensors should exhibit high accuracy, a robust signal-to-noise ratio (SNR), low impedance, a broad dynamic range, and exceptional durability. The synthesis of these characteristics in graphene-based electrode sensors positions them at the forefront of biomedical technology, potentially advancing diagnostic methodologies and patient monitoring systems in clinical settings.