Laser-Induced Graphene-Based Smart Insole to Measure Plantar Temperature

被引:3
作者
Khandakar, Amith [1 ]
Faisal, Md. Ahasan Atick [1 ]
Chowdhury, Muhammad E. H. [1 ]
Reaz, Mamun Bin Ibne [2 ,3 ,4 ]
Ali, Sawal Hamid Md [2 ]
Razak, Mohd Ibrahim bin Shapiai Abd. [5 ]
Bakar, Ahmad Ashrif A. [2 ]
Mahmud, Sakib [1 ]
Malik, Rayaz A. [6 ]
机构
[1] Qatar Univ, Coll Engn, Doha 2713, Qatar
[2] Univ Kebangsaan Malaysia, Ctr Adv Elect & Commun Engn, Dept Elect Elect & Syst Engn, Bangi 43600, Selangor, Malaysia
[3] Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia
[4] Independent Univ, Dept Elect & Elect Engn, Dhaka 1229, Bangladesh
[5] Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia
[6] Weill Cornell Med Qatar, Ar Rayyan 24144, Qatar
关键词
Diabetic foot; diabetic sensorimotor polyneuropathy (DSPN); laser-induced graphene; noninvasive diagnosis; plantar foot temperature map; smart insole; DIABETIC-NEUROPATHY; INFRARED THERMOGRAPHY; DIAGNOSIS; SENSOR; FOOT;
D O I
10.1109/JSEN.2023.3317768
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Diabetic foot ulceration (DFU) could potentially be avoided by continuously monitoring plantar (foot sole) temperature at home to alert the onset of tissue breakdown. Systems, which can measure plantar temperature in real-time, have limited availability and are relatively expensive. We report on the synthesis, design, characterization, and implementation of a laser-induced graphene (LIG) based smart insole capable of measuring plantar temperature and pressure continuously and generating and storing the plantar temperature maps. Our proposed solution is lightweight, cheaper, and comparable in sensitivity, Limit of Detection, Range of Detection, Response Time, and Recovery time to other available solutions. This is the first study to utilize LIG in insoles to generate temperature maps that effectively identify patients with severe DSPN and those at high risk of DFU.
引用
收藏
页码:1190 / 1199
页数:10
相关论文
共 50 条
[41]   Multifunctional Flexible Sensor Based on Laser-Induced Graphene [J].
Han, Tao ;
Nag, Anindya ;
Simorangkir, Roy B. V. B. ;
Afsarimanesh, Nasrin ;
Liu, Hangrui ;
Mukhopadhyay, Subhas Chandra ;
Xu, Yongzhao ;
Zhadobov, Maxim ;
Sauleau, Ronan .
SENSORS, 2019, 19 (16)
[42]   The fabrication of wearable sensors based on laser-induced graphene [J].
Yin, Zhifu ;
Chen, Shi ;
Hu, Cong ;
Li, Jinzhe ;
Yang, Xue .
OPTICS AND LASER TECHNOLOGY, 2024, 176
[43]   A Pressure and Proximity Sensor Based on Laser-Induced Graphene [J].
Ye, Jiatong ;
Zhao, Tiancong ;
Zhang, Hangyu .
SENSORS, 2024, 24 (12)
[44]   Physical Sensors Based on Laser-Induced Graphene: A Review [J].
Kaidarova, Altynay ;
Kosel, Juergen .
IEEE SENSORS JOURNAL, 2021, 21 (11) :12426-12443
[45]   Integrated Sensor Based on Laser-Induced Graphene on Wood [J].
Li Chen ;
Yang Yanwei ;
Xia Tian ;
Ye Xiaohui ;
Cheng Guanghua .
CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2022, 49 (02)
[46]   Laser-induced graphene fibers [J].
Duy, Luong Xuan ;
Peng, Zhiwei ;
Li, Yilun ;
Zhang, Jibo ;
Ji, Yongsung ;
Tour, James M. .
CARBON, 2018, 126 :472-479
[47]   A novel perspective on laser-induced graphene in electronic skin for sensing and distinguishing of strain and temperature [J].
Yang, Wentao ;
Xie, Yingxi ;
Wu, Xiaohua ;
Yang, Renpeng ;
Lu, Longsheng ;
Li, Jiaxi ;
Chen, Hanxian .
SENSORS AND ACTUATORS A-PHYSICAL, 2025, 382
[48]   Smart Wooden Home Enabled by Direct-Written Laser-Induced Graphene [J].
Nam, Han Ku ;
Le, Truong-Son Dinh ;
Yang, Dongwook ;
Kim, Byunggi ;
Lee, Younggeun ;
Hwang, June Sik ;
Kim, Young-Ryeul ;
Yoon, Hana ;
Kim, Seung-Woo ;
Kim, Young-Jin .
ADVANCED MATERIALS TECHNOLOGIES, 2023, 8 (09)
[49]   Smart Insole-Based Plantar Pressure Analysis for Healthy and Diabetic Feet Classification: Statistical vs. Machine Learning Approaches [J].
Agrawal, Dipak Kumar ;
Jongpinit, Watcharin ;
Pojprapai, Soodkhet ;
Usaha, Wipawee ;
Wattanapan, Pattra ;
Tangkanjanavelukul, Pornthep ;
Vitoonpong, Timporn .
TECHNOLOGIES, 2024, 12 (11)
[50]   A smart insole for monitoring plantar pressure based on the fiber Bragg grating sensing technique [J].
Lakho, Rafique Ahmed ;
Zhang Yi-Fan ;
Jiang Jin-Hua ;
Hong Cheng-Yu ;
Abro, Zamir Ahmed .
TEXTILE RESEARCH JOURNAL, 2019, 89 (17) :3433-3446