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

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.

[1]  Hyung Joon Shim,et al.  Wearable Electrocardiogram Monitor Using Carbon Nanotube Electronics and Color-Tunable Organic Light-Emitting Diodes. , 2017, ACS nano.

[2]  Taemin Lee,et al.  Transparent ITO mechanical crack-based pressure and strain sensor , 2016 .

[3]  Phillip Won,et al.  A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat , 2016, Science Translational Medicine.

[4]  J. Takács,et al.  Validation of the Fitbit One activity monitor device during treadmill walking. , 2014, Journal of science and medicine in sport.

[5]  R. Furberg,et al.  Systematic review of the validity and reliability of consumer-wearable activity trackers , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[6]  Yun Liang,et al.  Network cracks-based wearable strain sensors for subtle and large strain detection of human motions , 2018 .

[7]  Shogo Nakata,et al.  A wearable pH sensor with high sensitivity based on a flexible charge-coupled device , 2018, Nature Electronics.

[8]  Franklin Bien,et al.  Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics , 2017, Nature Communications.

[9]  Thea J. M. Kooiman,et al.  Reliability and validity of ten consumer activity trackers , 2015, BMC Sports Science, Medicine and Rehabilitation.

[10]  Chanho Jeong,et al.  A semi-permanent and durable nanoscale-crack-based sensor by on-demand healing. , 2018, Nanoscale.

[11]  Chanho Jeong,et al.  Dramatically Enhanced Mechanosensitivity and Signal‐to‐Noise Ratio of Nanoscale Crack‐Based Sensors: Effect of Crack Depth , 2016, Advanced materials.

[12]  Yei Hwan Jung,et al.  Stretchable silicon nanoribbon electronics for skin prosthesis , 2014, Nature Communications.

[13]  Dae-Hyeong Kim,et al.  Multifunctional wearable devices for diagnosis and therapy of movement disorders. , 2014, Nature nanotechnology.

[14]  Bo Fernhall,et al.  Energy expenditure of walking and running: comparison with prediction equations. , 2004, Medicine and science in sports and exercise.

[15]  John A Rogers,et al.  Soft, skin-mounted microfluidic systems for measuring secretory fluidic pressures generated at the surface of the skin by eccrine sweat glands. , 2017, Lab on a chip.

[16]  Benjamin C. K. Tee,et al.  Flexible polymer transistors with high pressure sensitivity for application in electronic skin and health monitoring , 2013, Nature Communications.

[17]  T. Hastie,et al.  Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort , 2016, bioRxiv.

[18]  Ji Hoon Kim,et al.  Reverse‐Micelle‐Induced Porous Pressure‐Sensitive Rubber for Wearable Human–Machine Interfaces , 2014, Advanced materials.

[19]  J. Christ,et al.  Bidirectional and Stretchable Piezoresistive Sensors Enabled by Multimaterial 3D Printing of Carbon Nanotube/Thermoplastic Polyurethane Nanocomposites , 2018, Polymers.

[20]  Enhad A. Chowdhury,et al.  Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors , 2017, PloS one.

[21]  T. Someya,et al.  A Highly Sensitive Capacitive-type Strain Sensor Using Wrinkled Ultrathin Gold Films. , 2018, Nano letters (Print).

[22]  A. Amis,et al.  The Width:thickness Ratio of the Patella , 2008, Clinical orthopaedics and related research.

[23]  Junqing Xie,et al.  Evaluating the Validity of Current Mainstream Wearable Devices in Fitness Tracking Under Various Physical Activities: Comparative Study , 2018, JMIR mHealth and uHealth.

[24]  Sam Emaminejad,et al.  Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis , 2016, Nature.

[25]  H-S Philip Wong,et al.  Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care , 2014, Nature Communications.

[26]  Chanseok Lee,et al.  Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system , 2014, Nature.

[27]  Zhong Lin Wang,et al.  Triboelectric Nanogenerator Enabled Body Sensor Network for Self-Powered Human Heart-Rate Monitoring. , 2017, ACS nano.

[28]  E. Kouidi,et al.  Indirect estimation of VO2max in athletes by ACSM's equation: valid or not? , 2013, Hippokratia.

[29]  Taeghwan Hyeon,et al.  Enzyme‐Based Glucose Sensor: From Invasive to Wearable Device , 2018, Advanced healthcare materials.

[30]  Claude C. Grigsby,et al.  Super-Absorbent Polymer Valves and Colorimetric Chemistries for Time-Sequenced Discrete Sampling and Chloride Analysis of Sweat via Skin-Mounted Soft Microfluidics. , 2018, Small.

[31]  K. Hata,et al.  A stretchable carbon nanotube strain sensor for human-motion detection. , 2011, Nature nanotechnology.

[32]  Yang Zou,et al.  Self‐Powered Pulse Sensor for Antidiastole of Cardiovascular Disease , 2017, Advanced materials.

[33]  J. Shaw,et al.  Global and societal implications of the diabetes epidemic , 2001, Nature.

[34]  John A Rogers,et al.  Soft, Skin-Interfaced Microfluidic Systems with Wireless, Battery-Free Electronics for Digital, Real-Time Tracking of Sweat Loss and Electrolyte Composition. , 2018, Small.