Literature DB >> 31509350

Stretchable, Patch-Type Calorie-Expenditure Measurement Device Based on Pop-Up Shaped Nanoscale Crack-Based Sensor.

Ki Yoon Kwon1, Yiel Jae Shin1, Joo Hwan Shin1, Chanho Jeong2, Yei Hwan Jung1, Byeonghak Park1, Tae-Il Kim1,2,3.   

Abstract

Demands for precise health information tracking techniques are increasing, especially for daily dietry requirements to prevent obesity, diabetes, etc. Many commercially available sensors that detect dynamic motions of the body lack accuracy, while novel strain sensors at the research level mostly lack the capability to analyze measurements in real life conditions. Here, a stretchable, patch-type calorie expenditure measurement system is demonstrated that integrates an ultrasensitive crack-based strain sensor and Bluetooth-enabled wireless communication circuit to offer both accurate measurements and practical diagnosis of motion. The crack-based strain gauge transformed into a pop-up-shaped structure provides reliable measurements and broad range of strain (≈100%). Combined with the stretchable analysis circuit, the skin attachable tool translates variation of the knee flexion angle into calorie expenditure amount, using relative resistance change (R/R0 ) data from the flexible sensor. As signals from the knee joint angular movement translates velocity and walking/running behavior, the total amount of calorie expenditure is accurately analyzed. Finally, theoretical, experimental, and simulation analysis of signal stability, dynamic noises, and calorie expenditure calculation obtained from the device during exercise are demonstrated. For further applications, the devices are expected to be used in broader range of dynamic motion of the body for diagnosis of abnormalities and for rehabilitation.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  calories expenditure; nanoscale crack-based sensor (NCbS); pop-up shaped sensor; stretchable sensor

Mesh:

Year:  2019        PMID: 31509350     DOI: 10.1002/adhm.201801593

Source DB:  PubMed          Journal:  Adv Healthc Mater        ISSN: 2192-2640            Impact factor:   9.933


  1 in total

1.  A soft intelligent dressing with pH and temperature sensors for early detection of wound infection.

Authors:  Zhiyang Zhang; Rui Su; Fei Han; Zhiqiang Zheng; Yuan Liu; Xiaomeng Zhou; Qingsong Li; Xinyun Zhai; Jun Wu; Xiaohua Pan; Haobo Pan; Peizhi Guo; Zhaoyang Li; Zhiyuan Liu; Xiaoli Zhao
Journal:  RSC Adv       Date:  2022-01-25       Impact factor: 3.361

  1 in total

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