4.8 Article

Mechano-Based Transductive Sensing for Wearable Healthcare

期刊

SMALL
卷 14, 期 11, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.201702933

关键词

micro-/ nanostructures; sensors; transduction; wearable healthcare devices

资金

  1. National Research Foundation, Prime Minister's Office, Singapore, under its Competitive Research Programme Funding Scheme [NRF-CRP13-2014-02]
  2. National Research Foundation, Prime Minister's Office, Singapore, under its Competitive Research Programme Funding Scheme (CREATE Programme on Nanomaterials for Energy and Water Management)
  3. China Postdoctoral Science Foundation [2016M592518]
  4. National Natural Science Fund [61435010, 61575089]
  5. Science and Technology Planning Project of Guangdong Province [2016B050501005]
  6. Educational Commission of Guangdong Province [2016KCXTD006]

向作者/读者索取更多资源

Wearable healthcare presents exciting opportunities for continuous, real-time, and noninvasive monitoring of health status. Even though electrochemical and optical sensing have already made great advances, there is still an urgent demand for alternative signal transformation in terms of miniaturization, wearability, conformability, and stretchability. Mechano-based transductive sensing, referred to the efficient transformation of biosignals into measureable mechanical signals, is claimed to exhibit the aforementioned desirable properties, and ultrasensitivity. In this Concept, a focus on pressure, strain, deflection, and swelling transductive principles based on micro-/nanostructures for wearable healthcare is presented. Special attention is paid to biophysical sensors based on pressure/strain, and biochemical sensors based on microfluidic pressure, microcantilever, and photonic crystals. There are still many challenges to be confronted in terms of sample collection, miniaturization, and wireless data readout. With continuing efforts toward solving those problems, it is anticipated that mechano-based transduction will provide an accessible route for multimode wearable healthcare systems integrated with physical, electrophysiological, and biochemical sensors.

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