Self-Powered Smart Insole for Monitoring Human Gait Signals

With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs)...

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Published inSensors (Basel, Switzerland) Vol. 19; no. 24; p. 5336
Main Authors Wang, Wei, Cao, Junyi, Yu, Jian, Liu, Rong, Bowen, Chris R., Liao, Wei-Hsin
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 04.12.2019
MDPI
Subjects
Aluminum
Design
Electric Power Supplies
Energy
Experiments
Fitness equipment
Gait
Humans
Nanotechnology - instrumentation
Nanotechnology - methods
Nanowires
Physiology
Polyvinyls - chemistry
Sensors
Shoes
Wearable Electronic Devices
Wireless Technology
Zinc oxides
multi-scale entropy
smart insole
gait monitoring
piezoelectric
self-powered
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Abstract With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs) are fabricated to simultaneously harvest energy from human motion and monitor human gait signals. Multi-target magnetron sputtering technology is applied to form the aluminum electrode layers on the surface of the PVDF film and the self-powered insoles are fabricated through advanced 3D seamless flat-bed knitting technology. Output responses of the NGs are measured at different motion speeds and a maximum value of 41 V is obtained, corresponding to an output power of 168.1 μW. By connecting one NG with an external circuit, the influence of external resistance, capacitor, and motion speed on the charging characteristics of the system is systematically investigated. To demonstrate the potential of the smart insoles for monitoring human gait signals, two subjects were asked to walk on a treadmill at different speeds or with a limp. The results show that one can clearly distinguish walking with a limp from regular slow, normal, and fast walking states by using multiscale entropy analysis of the stride intervals.
AbstractList With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs) are fabricated to simultaneously harvest energy from human motion and monitor human gait signals. Multi-target magnetron sputtering technology is applied to form the aluminum electrode layers on the surface of the PVDF film and the self-powered insoles are fabricated through advanced 3D seamless flat-bed knitting technology. Output responses of the NGs are measured at different motion speeds and a maximum value of 41 V is obtained, corresponding to an output power of 168.1 μW. By connecting one NG with an external circuit, the influence of external resistance, capacitor, and motion speed on the charging characteristics of the system is systematically investigated. To demonstrate the potential of the smart insoles for monitoring human gait signals, two subjects were asked to walk on a treadmill at different speeds or with a limp. The results show that one can clearly distinguish walking with a limp from regular slow, normal, and fast walking states by using multiscale entropy analysis of the stride intervals.With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs) are fabricated to simultaneously harvest energy from human motion and monitor human gait signals. Multi-target magnetron sputtering technology is applied to form the aluminum electrode layers on the surface of the PVDF film and the self-powered insoles are fabricated through advanced 3D seamless flat-bed knitting technology. Output responses of the NGs are measured at different motion speeds and a maximum value of 41 V is obtained, corresponding to an output power of 168.1 μW. By connecting one NG with an external circuit, the influence of external resistance, capacitor, and motion speed on the charging characteristics of the system is systematically investigated. To demonstrate the potential of the smart insoles for monitoring human gait signals, two subjects were asked to walk on a treadmill at different speeds or with a limp. The results show that one can clearly distinguish walking with a limp from regular slow, normal, and fast walking states by using multiscale entropy analysis of the stride intervals.
With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered sensing is becoming desirable. Herein, a pair of smart insoles integrated with piezoelectric poly(vinylidene fluoride) (PVDF) nanogenerators (NGs) are fabricated to simultaneously harvest energy from human motion and monitor human gait signals. Multi-target magnetron sputtering technology is applied to form the aluminum electrode layers on the surface of the PVDF film and the self-powered insoles are fabricated through advanced 3D seamless flat-bed knitting technology. Output responses of the NGs are measured at different motion speeds and a maximum value of 41 V is obtained, corresponding to an output power of 168.1 μW. By connecting one NG with an external circuit, the influence of external resistance, capacitor, and motion speed on the charging characteristics of the system is systematically investigated. To demonstrate the potential of the smart insoles for monitoring human gait signals, two subjects were asked to walk on a treadmill at different speeds or with a limp. The results show that one can clearly distinguish walking with a limp from regular slow, normal, and fast walking states by using multiscale entropy analysis of the stride intervals.
Author Liao, Wei-Hsin
Yu, Jian
Bowen, Chris R.
Wang, Wei
Liu, Rong
Cao, Junyi
AuthorAffiliation 2 China Ship Development and Design Center, Wuhan 430064, China
4 Materials and Structures Centre, Department of Mechanical Engineering, University of Bath, Bath BA27AY, UK; C.R.Bowen@bath.ac.uk
1 Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China; w_wei2013@126.com (W.W.); yujian_05_31@163.com (J.Y.)
3 Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China; rong.liu@polyu.edu.hk
5 Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China; whliao@cuhk.edu.hk
AuthorAffiliation_xml – name: 2 China Ship Development and Design Center, Wuhan 430064, China
– name: 5 Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China; whliao@cuhk.edu.hk
– name: 3 Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China; rong.liu@polyu.edu.hk
– name: 1 Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China; w_wei2013@126.com (W.W.); yujian_05_31@163.com (J.Y.)
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/31817067$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1002/adfm.201302453
10.1063/1.4803918
10.1016/j.nanoen.2016.10.061
10.1016/j.enconman.2016.11.026
10.3390/s140712497
10.1016/j.nanoen.2017.05.047
10.1002/adma.201200150
10.1103/PhysRevLett.89.068102
10.1002/adfm.201400379
10.1039/C5NR01746G
10.1016/j.nanoen.2016.10.034
10.1063/1.3159815
10.1021/acsnano.5b04855
10.1088/1361-665X/aa81a0
10.1063/1.4963786
10.1021/nn500441k
10.1126/sciadv.1700015
10.1002/adma.201303570
10.1016/j.physa.2013.07.075
10.3390/e19100557
10.1002/aenm.201602832
10.3390/e15031069
10.1016/j.nanoen.2017.10.029
10.1109/TIA.2010.2101995
10.1016/j.enconman.2017.09.057
10.1002/adma.201504299
10.1016/j.nanoen.2017.01.008
10.1021/acsnano.5b01835
10.1002/adfm.201703801
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Keywords multi-scale entropy
smart insole
gait monitoring
piezoelectric
self-powered
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References Deng (ref_13) 2016; 109
Chen (ref_22) 2015; 7
Erturk (ref_12) 2009; 94
Fan (ref_18) 2016; 28
Salauddin (ref_21) 2017; 153
Yaqoob (ref_17) 2017; 26
Wu (ref_29) 2013; 392
Shi (ref_23) 2017; 32
Chen (ref_24) 2017; 38
Siddiqui (ref_9) 2016; 30
Lee (ref_7) 2012; 24
Arrieta (ref_11) 2013; 102
Zhang (ref_1) 2014; 24
Pu (ref_16) 2017; 3
Dayal (ref_15) 2011; 47
Xing (ref_25) 2017; 42
Wu (ref_27) 2013; 15
Hwang (ref_4) 2015; 9
Costa (ref_26) 2002; 89
Fuh (ref_20) 2016; 30
Wang (ref_2) 2014; 24
Li (ref_6) 2017; 7
Zhang (ref_8) 2018; 28
ref_28
Park (ref_5) 2014; 8
Lee (ref_19) 2014; 26
Zhao (ref_10) 2014; 14
Hinchet (ref_3) 2015; 9
Wang (ref_14) 2017; 132
References_xml – volume: 24
  start-page: 1401
  year: 2014
  ident: ref_1
  article-title: Triboelectric Nanogenerator for Harvesting Vibration Energy in Full Space and as Self-Powered Acceleration Sensor
  publication-title: Adv. Funct. Mater.
  doi: 10.1002/adfm.201302453
– volume: 102
  start-page: 173904
  year: 2013
  ident: ref_11
  article-title: Broadband vibration energy harvesting based on cantilevered piezoelectric bi-stable composites
  publication-title: Appl. Phys. Lett.
  doi: 10.1063/1.4803918
– volume: 30
  start-page: 677
  year: 2016
  ident: ref_20
  article-title: Near field sequentially electrospun three-dimensional piezoelectric fibers arrays for self-powered sensors of human gesture recognition
  publication-title: Nano Energy
  doi: 10.1016/j.nanoen.2016.10.061
– volume: 132
  start-page: 189
  year: 2017
  ident: ref_14
  article-title: Magnetic-spring based energy harvesting from human motions: Design, modeling and experiments
  publication-title: Energy Convers. Manag.
  doi: 10.1016/j.enconman.2016.11.026
– volume: 14
  start-page: 12497
  year: 2014
  ident: ref_10
  article-title: A shoe-embedded piezoelectric energy harvester for wearable sensors
  publication-title: Sensors
  doi: 10.3390/s140712497
– volume: 38
  start-page: 43
  year: 2017
  ident: ref_24
  article-title: Flexible fiber-based hybrid nanogenerator for biomechanical energy harvesting and physiological monitoring
  publication-title: Nano Energy
  doi: 10.1016/j.nanoen.2017.05.047
– volume: 24
  start-page: 1759
  year: 2012
  ident: ref_7
  article-title: A hybrid piezoelectric structure for wearable nanogenerators
  publication-title: Adv. Mater.
  doi: 10.1002/adma.201200150
– volume: 89
  start-page: 068102
  year: 2002
  ident: ref_26
  article-title: Multiscale entropy analysis of complex physiologic time series
  publication-title: Phys. Rev. Lett.
  doi: 10.1103/PhysRevLett.89.068102
– volume: 24
  start-page: 4666
  year: 2014
  ident: ref_2
  article-title: Wearable and Highly Sensitive Graphene Strain Sensors for Human Motion Monitoring
  publication-title: Adv. Funct. Mater.
  doi: 10.1002/adfm.201400379
– volume: 7
  start-page: 11536
  year: 2015
  ident: ref_22
  article-title: A high performance P(VDF-TrFE) nanogenerator with self-connected and vertically integrated fibers by patterned EHD pulling
  publication-title: Nanoscale
  doi: 10.1039/C5NR01746G
– volume: 30
  start-page: 434
  year: 2016
  ident: ref_9
  article-title: A durable and stable piezoelectric nanogenerator with nanocomposite nanofibers embedded in an elastomer under high loading for a self-powered sensor system
  publication-title: Nano Energy
  doi: 10.1016/j.nanoen.2016.10.034
– volume: 94
  start-page: 254102
  year: 2009
  ident: ref_12
  article-title: A piezomagnetoelastic structure for broadband vibration energy harvesting
  publication-title: Appl. Phys. Lett.
  doi: 10.1063/1.3159815
– volume: 9
  start-page: 7742
  year: 2015
  ident: ref_3
  article-title: Wearable and Implantable Mechanical Energy Harvesters for Self-Powered Biomedical Systems
  publication-title: ACS Nano
  doi: 10.1021/acsnano.5b04855
– volume: 26
  start-page: 095060
  year: 2017
  ident: ref_17
  article-title: Effect of reduced graphene oxide on the energy harvesting performance of P(VDF-TrFE)-BaTiO3 nanocomposite devices
  publication-title: Smart Mater. Struct.
  doi: 10.1088/1361-665X/aa81a0
– volume: 109
  start-page: 133903
  year: 2016
  ident: ref_13
  article-title: Non-contact magnetically coupled rectilinear-rotary oscillations to exploit low-frequency broadband energy harvesting with frequency up-conversion
  publication-title: Appl. Phys. Lett.
  doi: 10.1063/1.4963786
– volume: 8
  start-page: 4689
  year: 2014
  ident: ref_5
  article-title: Giant tunneling piezoresistance of composite elastomers with interlocked microdome arrays for ultrasensitive and multimodal electronic skins
  publication-title: ACS Nano
  doi: 10.1021/nn500441k
– volume: 3
  start-page: e1700015
  year: 2017
  ident: ref_16
  article-title: Ultrastretchable, transparent triboelectric nanogenerator as electronic skin for biomechanical energy harvesting and tactile sensing
  publication-title: Sci. Adv.
  doi: 10.1126/sciadv.1700015
– volume: 26
  start-page: 765
  year: 2014
  ident: ref_19
  article-title: Highly stretchable piezoelectric-pyroelectric hybrid nanogenerator
  publication-title: Adv. Mater.
  doi: 10.1002/adma.201303570
– volume: 392
  start-page: 5865
  year: 2013
  ident: ref_29
  article-title: Modified multiscale entropy for short-term time series analysis
  publication-title: Phys. A Stat. Mech. Its Appl.
  doi: 10.1016/j.physa.2013.07.075
– ident: ref_28
  doi: 10.3390/e19100557
– volume: 7
  start-page: 1602832
  year: 2017
  ident: ref_6
  article-title: Sustainable Energy Source for Wearable Electronics Based on Multilayer Elastomeric Triboelectric Nanogenerators
  publication-title: Adv. Energy Mater.
  doi: 10.1002/aenm.201602832
– volume: 15
  start-page: 1069
  year: 2013
  ident: ref_27
  article-title: Time series analysis using composite multiscale entropy
  publication-title: Entropy
  doi: 10.3390/e15031069
– volume: 42
  start-page: 138
  year: 2017
  ident: ref_25
  article-title: Natural triboelectric nanogenerator based on soles for harvesting low-frequency walking energy
  publication-title: Nano Energy
  doi: 10.1016/j.nanoen.2017.10.029
– volume: 47
  start-page: 820
  year: 2011
  ident: ref_15
  article-title: A New Design for Vibration-Based Electromagnetic Energy Harvesting Systems Using Coil Inductance of Microgenerator
  publication-title: IEEE Trans. Ind. Appl.
  doi: 10.1109/TIA.2010.2101995
– volume: 153
  start-page: 1
  year: 2017
  ident: ref_21
  article-title: Design and experiment of hybridized electromagnetic-triboelectric energy harvester using Halbach magnet array from handshaking vibration
  publication-title: Energy Convers. Manag.
  doi: 10.1016/j.enconman.2017.09.057
– volume: 28
  start-page: 4283
  year: 2016
  ident: ref_18
  article-title: Flexible Nanogenerators for Energy Harvesting and Self-Powered Electronics
  publication-title: Adv. Mater.
  doi: 10.1002/adma.201504299
– volume: 32
  start-page: 479
  year: 2017
  ident: ref_23
  article-title: Self-powered wireless smart patch for healthcare monitoring
  publication-title: Nano Energy
  doi: 10.1016/j.nanoen.2017.01.008
– volume: 9
  start-page: 8801
  year: 2015
  ident: ref_4
  article-title: Transparent Stretchable Self-Powered Patchable Sensor Platform with Ultrasensitive Recognition of Human Activities
  publication-title: ACS Nano
  doi: 10.1021/acsnano.5b01835
– volume: 28
  start-page: 1703801
  year: 2018
  ident: ref_8
  article-title: Electromagnetic Shielding Hybrid Nanogenerator for Health Monitoring and Protection
  publication-title: Adv. Funct. Mater.
  doi: 10.1002/adfm.201703801
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Snippet With the rapid development of low-power consumption wireless sensors and wearable electronics, harvesting energy from human motion to enable self-powered...
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StartPage 5336
SubjectTerms Aluminum
Design
Electric Power Supplies
Energy
Experiments
Fitness equipment
Gait
Humans
Nanotechnology - instrumentation
Nanotechnology - methods
Nanowires
Physiology
Polyvinyls - chemistry
Sensors
Shoes
Wearable Electronic Devices
Wireless Technology
Zinc oxides
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Title Self-Powered Smart Insole for Monitoring Human Gait Signals
URI https://www.ncbi.nlm.nih.gov/pubmed/31817067
https://www.proquest.com/docview/2535493579
https://www.proquest.com/docview/2323470648
https://pubmed.ncbi.nlm.nih.gov/PMC6960832
Volume 19
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