A wearable chemical–electrophysiological hybrid biosensing system for real-time health and fitness monitoring

By Somayeh Imani, Amay J. Bandodkar, A. Mohan, Rajan Kumar, Shen Yu, Joseph Wang, P. Mercier. Nature Communications, 2016

751 citations recorded by the source corpus.

Flexible, wearable sensing devices can yield important information about the underlying physiology of a human subject for applications in real-time health and fitness monitoring. Despite significant progress in the fabrication of flexible biosensors that naturally comply with the epidermis, most designs measure only a small number of physical or electrophysiological parameters, and neglect the rich chemical information available from biomarkers. Here, we introduce a skin-worn wearable hybrid sensing system that offers simultaneous real-time monitoring of a biochemical (lactate) and an electrophysiological signal (electrocardiogram), for more comprehensive fitness monitoring than from physical or electrophysiological sensors alone. The two sensing modalities, comprising a three-electrode amperometric lactate biosensor and a bipolar electrocardiogram sensor, are co-fabricated on a flexible substrate and mounted on the skin. Human experiments reveal that physiochemistry and electrophysiology can be measured simultaneously with negligible cross-talk, enabling a new class of hybrid sensing devices. Wearable sensors can provide continuous, convenient feedback for users but typically focus on a small number of physiological parameters. Here, the authors report a skin-worn sensing system that combines a biosensor for lactate detection with an electrocardiogram in one patch, with applications for exercise monitoring.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ca05604884f0b3cf597f80f1d61b2fcdd0f4707f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Roozbeh Ghaffari
  2. Amay J. Bandodkar
  3. John A. Rogers
  4. M. Zhang
  5. Nanshu Lu
  6. Dae-Hyeong Kim
  7. Hyun‐Joong Chung
  8. Kenneth D. Harris

In Cognitive Neuroscience

  1. John A. Rogers
  2. M. Zhang

In Electrical and Electronic Engineering

  1. Roozbeh Ghaffari
  2. John A. Rogers
  3. M. Zhang
  4. Nanshu Lu
  5. Dae-Hyeong Kim

Citations in the corpus