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Biomedical Sensors and Applications of Wearable Technologies on Arm and Hand

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Abstract

Global difficulties, such as rising healthcare costs and staff shortages, have accelerated the transition to new wearable technologies in place of traditional healthcare services. With wearables, patients can be tracked regularly. In the study, wearable biomedical technologies were investigated according to their wearable structures as rigid, soft, and textile based. With the developing technology, it will be possible to get more comfortable, accurate, and better measurements by getting sensors from the textile surface. Resistive sensor, galvanic skin response, capacitive sensor, piezoelectric sensor, optical sensors, semiconductor sensors, and inertial measurement unit are the most used basic sensor types in health studies. In the study, information was given about the sensor types used in health applications. Biomedical applications are described only by classifying the upper-extremity region according to the sub-parts. When looking that are used on arm and hand are explained in the study. It is emphasized by researchers working in the textile field that to be presented as a final product, the wearable must meet natural clothing requirements. The trend toward commercialization is especially in adhesive wearables, integration of new sensor technologies, and miniaturization of wearables. Comfort and flexibility can be achieved using more textile techniques in future, which will greatly increase the usability and accuracy of the devices.

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References

  1. S.D. Guler, M. Gannon, K. Sicchio, A brief history of wearables, in Crafting Wearables: Blending Technology with Fashion. ed. by S.D. Guler, M. Gannon, K. Sicchio (Apress, Berkeley, CA, 2016), pp. 3–10

    Google Scholar 

  2. S. Park, S. Jayaraman, Wearables: Fundamentals, Advancements, and a Roadmap for the Future, in Wearable Sensors (Second Edition). (Academic Press, Oxford, 2021), pp. 3–27

    Google Scholar 

  3. S. Coyle, D. Diamond, Medical applications of smart textiles, in Advances in Smart Medical Textiles. (Woodhead Publishing, Oxford, 2016), pp. 215–237

    Google Scholar 

  4. A. Godfrey, V. Hetherington, H. Shum et al., From A to Z: wearable technology explained. Maturitas 113, 40–47 (2018). https://doi.org/10.1016/j.maturitas.2018.04.012

    Article  CAS  Google Scholar 

  5. C. Ye, J. Ren, Y. Wang et al., Design and Fabrication of Silk Templated Electronic Yarns and Applications in Multifunctional Textiles. Matter 1, 1411–1425 (2019). https://doi.org/10.1016/j.matt.2019.07.016

    Article  Google Scholar 

  6. R. Atwal, A. Antin, A. Teng, Forecast: wearable electronic devices, worldwide, 2021. Gartner Res. (2021)

  7. B. Fang, F. Sun, H. Liu et al., Wearable Technology for Robotic Manipulation and Learning (Springer, Berlin, 2020)

    Google Scholar 

  8. A. Ometov, V. Shubina, L. Klus et al., A survey on wearable technology: history, state-of-the-art and current challenges. Comput. Netw. 193, 108074 (2021). https://doi.org/10.1016/j.comnet.2021.108074

    Article  Google Scholar 

  9. J. Dunn, R. Runge, M. Snyder, Wearables and the medical revolution. Pers. Med. 15, 429–448 (2018). https://doi.org/10.2217/pme-2018-0044

    Article  CAS  Google Scholar 

  10. M. Kaisti, J. Leppänen, O. Lahdenoja, et al. Wearable pressure sensor array for health monitoring, in 2017 Computing in Cardiology (CinC) (IEEE, 2017), pp 1–4

  11. X. Liang, R. Ghannam, H. Heidari, Wrist-worn gesture sensing with wearable intelligence. IEEE Sens. J. 19, 1082–1090 (2018)

    Google Scholar 

  12. P.P. Ray, D. Dash, N. Kumar, Sensors for internet of medical things: state-of-the-art, security and privacy issues, challenges and future directions. Comput. Commun. (2020)

  13. Y. Mengüç, Y.-L. Park, H. Pei et al., Wearable soft sensing suit for human gait measurement. Int. J. Robot. Res. 33, 1748–1764 (2014). https://doi.org/10.1177/0278364914543793

    Article  Google Scholar 

  14. S. Yao, L. Vargas, X. Hu, Y. Zhu, A novel finger kinematic tracking method based on skin-like wearable strain sensors. IEEE Sens. J. 18, 3010–3015 (2018)

    Google Scholar 

  15. C.-T. Huang, C.-L. Shen, C.-F. Tang, S.-H. Chang, A wearable yarn-based piezo-resistive sensor. Sens. Actuators A 141, 396–403 (2008). https://doi.org/10.1016/j.sna.2007.10.069

    Article  CAS  Google Scholar 

  16. L.-W. Lo, H. Shi, H. Wan et al., Inkjet-printed soft resistive pressure sensor patch for wearable electronics applications. Adv. Mater. Technol. 5, 1900717 (2020). https://doi.org/10.1002/admt.201900717

    Article  CAS  Google Scholar 

  17. G. Singh, A. Nelson, R. Robucci, et al. Inviz: low-power personalized gesture recognition using wearable textile capacitive sensor arrays, in 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom) (2015), pp 198–206

  18. V. Balakrishnan, T. Dinh, A.R.M. Foisal et al., Based electronics using graphite and silver nanoparticles for respiration monitoring. IEEE Sens. J. 19, 11784–11790 (2019)

    CAS  Google Scholar 

  19. H. Lee, H. Cho, E. Lee et al., Fabrication of strain sensor based on graphene/polyurethane nanoweb and respiration measurement. Sci. Emot. Sensibil. 22, 15–22 (2019)

    Google Scholar 

  20. L. Xie, P. Chen, S. Chen et al., Low-cost and highly sensitive wearable sensor based on napkin for health monitoring. Sensors 19, 3427 (2019). https://doi.org/10.3390/s19153427

    Article  CAS  Google Scholar 

  21. H. Truong, P. Nguyen, A. Nguyen, et al. Capacitive sensing 3d-printed wristband for enriched hand gesture recognition, in Proceedings of the 2017 Workshop on Wearable Systems and Applications (Association for Computing Machinery, New York, 2017), pp 11–15

  22. Y. Sun, X.B. Yu, Capacitive biopotential measurement for electrophysiological signal acquisition: a review. IEEE Sens. J. 16, 2832–2853 (2016). https://doi.org/10.1109/JSEN.2016.2519392

    Article  Google Scholar 

  23. L. Sheng, S. Teo, J. Liu, Liquid-metal-painted stretchable capacitor sensors for wearable healthcare electronics. J Med Biol Eng 36, 265–272 (2016). https://doi.org/10.1007/s40846-016-0129-9

    Article  Google Scholar 

  24. S. Malik, M. Ahmad, M. Punjiya, et al., Respiration monitoring using a flexible paper-based capacitive sensor, in 2018 IEEE Sensors (IEEE, 2018), pp 1–4

  25. Y. Cha, J. Seo, J.-S. Kim, J.-M. Park, Human–computer interface glove using flexible piezoelectric sensors. Smart Mater. Struct. 26, 057002 (2017)

    Google Scholar 

  26. Z. Liu, S. Zhang, Y.M. Jin et al., Flexible piezoelectric nanogenerator in wearable self-powered active sensor for respiration and healthcare monitoring. Semicond. Sci. Technol. 32, 064004 (2017)

    Google Scholar 

  27. E.S. Hosseini, L. Manjakkal, D. Shakthivel, R. Dahiya, Glycine–Chitosan-based flexible biodegradable piezoelectric pressure sensor. ACS Appl. Mater. Interfaces 12, 9008–9016 (2020). https://doi.org/10.1021/acsami.9b21052

    Article  CAS  Google Scholar 

  28. H. Zhou, Y. Zhang, Y. Qiu et al., Stretchable piezoelectric energy harvesters and self-powered sensors for wearable and implantable devices. Biosens. Bioelectron. 168, 112569 (2020). https://doi.org/10.1016/j.bios.2020.112569

    Article  CAS  Google Scholar 

  29. D.-M. Shin, S.W. Hong, Y.-H. Hwang, Recent advances in organic piezoelectric biomaterials for energy and biomedical applications. Nanomaterials 10, 123 (2020). https://doi.org/10.3390/nano10010123

    Article  CAS  Google Scholar 

  30. M. Rothmaier, M.P. Luong, F. Clemens, Textile pressure sensor made of flexible plastic optical fibers. Sensors 8, 4318–4329 (2008)

    CAS  Google Scholar 

  31. J. Witt, F. Narbonneau, M. Schukar et al., Medical textiles with embedded fiber optic sensors for monitoring of respiratory movement. IEEE Sens. J. 12, 246–254 (2012). https://doi.org/10.1109/JSEN.2011.2158416

    Article  Google Scholar 

  32. Y. Koyama, M. Nishiyama, K. Watanabe, Smart textile using hetero-core optical fiber for heartbeat and respiration monitoring. IEEE Sens. J. 18, 6175–6180 (2018). https://doi.org/10.1109/JSEN.2018.2847333

    Article  CAS  Google Scholar 

  33. X. Yang, Z. Chen, C.S.M. Elvin et al., Textile fiber optic microbend sensor used for heartbeat and respiration monitoring. IEEE Sens. J. 15, 757–761 (2015). https://doi.org/10.1109/JSEN.2014.2353640

    Article  Google Scholar 

  34. B. Najafi, H. Mohseni, G.S. Grewal et al., An optical-fiber-based smart textile (smart socks) to manage biomechanical risk factors associated with diabetic foot amputation. J. Diabetes Sci. Technol. 11, 668–677 (2017)

    Google Scholar 

  35. Z. Gong, Z. Xiang, X. OuYang et al., Wearable fiber optic technology based on smart textile: a review. Materials 12, 3311 (2019)

    CAS  Google Scholar 

  36. K. Bremer, F. Weigand, Y. Zheng et al., Structural health monitoring using textile reinforcement structures with integrated optical fiber sensors. Sensors 17, 345 (2017)

    Google Scholar 

  37. C. Gonçalves, A. Ferreira da Silva, J. Gomes, R. Simoes, Wearable e-textile technologies: a review on sensors. Actuators Control Elem. Invent. 3, 14 (2018). https://doi.org/10.3390/inventions3010014

    Article  Google Scholar 

  38. S. Zang, Q. Wang, Q. Mi et al., A facile, precise radial artery pulse sensor based on stretchable graphene-coated fiber. Sens. Actuators A 267, 532–537 (2017)

    CAS  Google Scholar 

  39. J. Knibbe, D.M. Plasencia, C. Bainbridge, et al., Extending interaction for smart watches: enabling bimanual around device control. in CHI ’14 Extended Abstracts on Human Factors in Computing Systems (Association for Computing Machinery, New York, 2014), pp 1891–1896

  40. Y. Zhang, R. Xiao, C. Harrison, Advancing hand gesture recognition with high resolution electrical impedance tomography, in Proceedings of the 29th Annual Symposium on User Interface Software and Technology (2016), pp 843–850

  41. J. Ryu, J. Seo, H. Jebelli, S. Lee, Automated action recognition using an accelerometer-embedded wristband-type activity tracker. J. Constr. Eng. Manag. 145, 04018114 (2019)

    Google Scholar 

  42. A. Buke, F. Gaoli, W. Yongcai et al., Healthcare algorithms by wearable inertial sensors: a survey. China Commun. 12, 1–12 (2015)

    Google Scholar 

  43. A. Kos, A. Umek, Wearable sensor devices for prevention and rehabilitation in healthcare: swimming exercise with real-time therapist feedback. IEEE Internet Things J. 6, 1331–1341 (2019). https://doi.org/10.1109/JIOT.2018.2850664

    Article  Google Scholar 

  44. S. Ha, C. Kim, H. Wang et al., Low-power integrated circuits for wearable electrophysiology, in Wearable Sensors, 2nd edn., ed. by E. Sazonov (Academic Press, Oxford, 2021), pp. 163–199

    Google Scholar 

  45. W. Geng, Y. Du, W. Jin et al., Gesture recognition by instantaneous surface EMG images. Sci. Rep. 6, 36571 (2016)

    CAS  Google Scholar 

  46. S. Tam, M. Boukadoum, A. Campeau-Lecours, B. Gosselin, A fully embedded adaptive real-time hand gesture classifier leveraging HD-sEMG and deep learning. IEEE Trans. Biomed. Circuits Syst. 14, 232–243 (2019)

    Google Scholar 

  47. G. Tröster, The agenda of wearable healthcare. Yearb. Med. Inform. 14, 125–138 (2005). https://doi.org/10.1055/s-0038-1638446

    Article  Google Scholar 

  48. R. Merletti, P.J. Parker, Electromyography: Physiology, Engineering, and Non-invasive Applications (Wiley, 2004)

    Google Scholar 

  49. F. Sadikoglu, C. Kavalcioglu, B. Dagman, Electromyogram (EMG) signal detection, classification of EMG signals and diagnosis of neuropathy muscle disease. Procedia Comput. Sci. 120, 422–429 (2017)

    Google Scholar 

  50. J. Ding, R.-Z. Lin, Z.-Y. Lin, Service robot system with integration of wearable Myo armband for specialized hand gesture human–computer interfaces for people with disabilities with mobility problems. Comput. Electr. Eng. 69, 815–827 (2018)

    Google Scholar 

  51. M. Sathiyanarayanan, S. Rajan, MYO Armband for physiotherapy healthcare: a case study using gesture recognition application, in 2016 8th International Conference on Communication Systems and Networks (COMSNETS) (IEEE, 2016), pp 1–6

  52. M. Tanweer, K.A.I. Halonen, Development of wearable hardware platform to measure the ECG and EMG with IMU to detect motion artifacts, in 2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits Systems (DDECS) (2019), pp 1–4

  53. S. Ashry, T. Ogawa, W. Gomaa, CHARM-deep: continuous human activity recognition model based on deep neural network using IMU sensors of smartwatch. IEEE Sens. J. 20, 8757–8770 (2020)

    Google Scholar 

  54. H.-S. Yeo, W. Feng, M.X. Huang, WATouCH: enabling direct input on non-touchscreen using smartwatch’s photoplethysmogram and IMU sensor fusion, in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020), pp 1–10

  55. G. Acar, O. Ozturk, M.K. Yapici, Wearable graphene nanotextile embedded smart armband for cardiac monitoring, in 2018 IEEE Sensors (IEEE, 2018), pp 1–4

  56. C.S. Arun, A. Alexander, Mobile ECG monitoring device using wearable non contact armband, in 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT) (2017a), pp 1–4

  57. J. Lázaro, N. Reljin, M.-B. Hossain et al., Wearable armband device for daily life electrocardiogram monitoring. IEEE Trans. Biomed. Eng. 67, 3464–3473 (2020)

    Google Scholar 

  58. B.M. Li, A.C. Mills, T.J. Flewwellin et al., Influence of Armband Form Factors on Wearable ECG Monitoring Performance. IEEE Sens. J. 21, 11046–11060 (2021)

    CAS  Google Scholar 

  59. V.P. Rachim, W. Chung, Wearable noncontact armband for mobile ECG monitoring system. IEEE Trans. Biomed. Circuits Syst. 10, 1112–1118 (2016). https://doi.org/10.1109/TBCAS.2016.2519523

    Article  Google Scholar 

  60. A. Rapalis, A. Petrėnas, M. Šimaitytė et al., Towards pulse rate parametrization during free-living activities using smart wristband. Physiol. Meas. 39, 055007 (2018)

    Google Scholar 

  61. A. Villegas, D. McEneaney, O. Escalona, Arm-ECG wireless sensor system for wearable long-term surveillance of heart arrhythmias. Electronics 8, 1300 (2019). https://doi.org/10.3390/electronics8111300

    Article  Google Scholar 

  62. A.Ç. Seçkin, Multi-sensor glove design and bio-signal data collection. Nat. Appl. Sci. J. 3, 87–93 (2021)

    Google Scholar 

  63. D.M. Roberts, M.M. Schade, G.M. Mathew et al., Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography. Sleep 43, zsaa045 (2020). https://doi.org/10.1093/sleep/zsaa045

    Article  Google Scholar 

  64. C.E. King, M. Sarrafzadeh, A survey of smartwatches in remote health monitoring. J. Healthc. Inform. Res. 2, 1–24 (2018)

    Google Scholar 

  65. N.J. Wei, B. Dougherty, A. Myers, S.M. Badawy, Using google glass in surgical settings: systematic review. JMIR Mhealth Uhealth 6, e54 (2018)

    Google Scholar 

  66. H.J. Baek, J. Cho, Development of a ring-type wearable healthcare device. Trans. Korean Inst. Electr. Eng. 67, 892–897 (2018). https://doi.org/10.5370/KIEE.2018.67.7.892

    Article  Google Scholar 

  67. Y. Mengüç, Y.-L. Park, E. Martinez-Villalpando, et al., Soft wearable motion sensing suit for lower limb biomechanics measurements, in 2013 IEEE International Conference on Robotics and Automation (IEEE, 2013), pp 5309–5316

  68. J.T. Muth, D.M. Vogt, R.L. Truby et al., Embedded 3D printing of strain sensors within highly stretchable elastomers. Adv. Mater. 26, 6307–6312 (2014)

    CAS  Google Scholar 

  69. A. Atalay, V. Sanchez, O. Atalay et al., Batch fabrication of customizable silicone-textile composite capacitive strain sensors for human motion tracking. Adv. Mater. Technol. 2, 1700136 (2017)

    Google Scholar 

  70. X. Zhao, Y. Long, T. Yang et al., Simultaneous high sensitivity sensing of temperature and humidity with graphene woven fabrics. ACS Appl. Mater. Interfaces 9, 30171–30176 (2017). https://doi.org/10.1021/acsami.7b09184

    Article  CAS  Google Scholar 

  71. M. Martínez-Estrada, B. Moradi, R. Fernández-Garcia, I. Gil, Impact of conductive yarns on an embroidery textile moisture sensor. Sensors 19, 1004 (2019)

    Google Scholar 

  72. R. Polanskỳ, R. Soukup, J. Řeboun et al., A novel large-area embroidered temperature sensor based on an innovative hybrid resistive thread. Sens. Actuators A 265, 111–119 (2017)

    Google Scholar 

  73. J.-H. Yang, H.-S. Cho, J.H. Lee, An analysis on the luminance efficiency of the machine embroidery method applied to flexible plastic optical fiber for realization of the textile display. Text. Res. J. 88, 1466–1478 (2018). https://doi.org/10.1177/0040517517703197

    Article  CAS  Google Scholar 

  74. D. van der Valk, Knitted smart textile sensors: integrating technlogy into garments by using knitting. Master Thesis, Delft University of Technology (2020)

  75. A.D. Erol, S. Çetiner, Elektronik Tekstillere Yönelik Akıllı Kumaş Sensörleri. J. Text Eng. 24, 305–320 (2017). https://doi.org/10.7216/1300759920172410810

    Article  Google Scholar 

  76. A. Moin, A. Zhou, A. Rahimi et al., A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat. Electron. 4, 54–63 (2021). https://doi.org/10.1038/s41928-020-00510-8

    Article  Google Scholar 

  77. T. Someya, T. Sekitani, S. Iba et al., A large-area, flexible pressure sensor matrix with organic field-effect transistors for artificial skin applications. Proc. Natl. Acad. Sci. 101, 9966–9970 (2004). https://doi.org/10.1073/pnas.0401918101

    Article  CAS  Google Scholar 

  78. T. Yokota, P. Zalar, M. Kaltenbrunner et al., Ultraflexible organic photonic skin. Science. Advances 2, e1501856 (2016). https://doi.org/10.1126/sciadv.1501856

    Article  CAS  Google Scholar 

  79. C.S. Arun, A. Alexander, Mobile ECG monitoring device using wearable non contact armband, in 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT) (IEEE, 2017b), pp 1–4

  80. D. Yotha, C. Pidthalek, S. Yimman, S. Niramitmahapanya, Design and construction of the hypoglycemia monito wireless system for diabetic, in 2016 9th Biomedical Engineering International Conference (BMEiCON) (IEEE, 2016), pp 1–4

  81. Q. Zhang, D. Zhou, Deep Arm/Ear-ECG image learning for highly wearable biometric human identification. Ann. Biomed. Eng. 46, 122–134 (2018). https://doi.org/10.1007/s10439-017-1944-z

    Article  CAS  Google Scholar 

  82. V. Jha, N. Prakash, S. Sagar, Wearable anger-monitoring system. ICT Express 4, 194–198 (2018)

    Google Scholar 

  83. A.R. Khalid, Design of wearable prototype smart wristband for remote health monitoring using internet of things, in Intelligent Technologies and Applications: Second International Conference (INTAP 2019) (Springer Nature, Bahawalpur, Pakistan, 2019), p. 3

  84. P. Lukowicz, U. Anliker, J. Ward, et al. AMON: a wearable medical computer for high risk patients, in Proceedings. Sixth International Symposium on Wearable Computers (IEEE, 2002), pp 133–134

  85. Y. Fu, J. Liu, System design for wearable blood oxygen saturation and pulse measurement device. Procedia Manuf. 3, 1187–1194 (2015). https://doi.org/10.1016/j.promfg.2015.07.197

    Article  Google Scholar 

  86. K. Kim, J. Choi, Y. Jeong et al., Highly sensitive and wearable liquid metal-based pressure sensor for health monitoring applications: integration of a 3D-printed microbump array with the microchannel. Adv. Healthc. Mater. 8, 1900978 (2019)

    CAS  Google Scholar 

  87. P. Escobedo, C.E. Ramos-Lorente, A. Martínez-Olmos et al., Wireless wearable wristband for continuous sweat pH monitoring. Sens. Actuators B Chem. 327, 128948 (2021)

    CAS  Google Scholar 

  88. Y. Tajitsu, Piezoelectret sensor made from an electro-spun fluoropolymer and its use in a wristband for detecting heart-beat signals. IEEE Trans. Dielectr. Electr. Insul. 22, 1355–1359 (2015)

    CAS  Google Scholar 

  89. K. Grym, H. Niela-Vilén, E. Ekholm et al., Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth. BMC Pregnancy Childbirth 19, 1–9 (2019)

    Google Scholar 

  90. P. Reali, G. Tacchino, G. Rocco, et al. Heart rate variability from wearables: a comparative analysis among standard ECG, a smart shirt and a wristband, in pHealth (2019), pp 128–133

  91. Y.M. Roshan, E.J. Park, Design approach for a wireless power transfer system for wristband wearable devices. IET Power Electron. 10, 931–937 (2017)

    Google Scholar 

  92. X. Yang, X. Wang, X. Li et al., Exploring emerging IoT technologies in smart health research: a knowledge graph analysis. BMC Med. Inform. Decis. Mak. 20, 1–12 (2020)

    CAS  Google Scholar 

  93. H. Zhao, S. Wang, G. Zhou, D. Zhang, Ultigesture: a wristband-based platform for continuous gesture control in healthcare. Smart Health 11, 45–65 (2019)

    Google Scholar 

  94. B. Pardamean, H. Soeparno, B. Mahesworo et al., Comparing the accuracy of multiple commercial wearable devices: a method. Procedia Comput. Sci. 157, 567–572 (2019). https://doi.org/10.1016/j.procs.2019.09.015

    Article  Google Scholar 

  95. M.M. Rodgers, G. Alon, V.M. Pai, R.S. Conroy, Wearable technologies for active living and rehabilitation: current research challenges and future opportunities. J. Rehabil. Assist. Technol. Eng. 6, 2055668319839607 (2019). https://doi.org/10.1177/2055668319839607

    Article  Google Scholar 

  96. Q. Zhou, B. Fang, J. Shan, et al., A survey of the development of wearable devices, in 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM) (2020b), pp 198–203

  97. Y.-N. Zheng, Z. Yu, G. Mao et al., A wearable capacitive sensor based on ring/disk-shaped electrode and porous dielectric for noncontact healthcare monitoring. Global Chall. 4, 1900079 (2020)

    Google Scholar 

  98. X. Liang, H. Heidari, R. Dahiya, Wearable capacitive-based wrist-worn gesture sensing system, in 2017 New Generation of CAS (NGCAS) (IEEE, 2017), pp 181–184

  99. L. Maiolo, F. Maita, A. Castiello, et al. Highly wearable wireless wristband for monitoring pilot cardiac activity and muscle fine movements, in 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) (IEEE, 2017b), pp 271–275

  100. R. Booth, P. Goldsmith, Detecting finger gestures with a wrist worn piezoelectric sensor array. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (IEEE, 2017), pp 3665–3670

  101. A. Oliveira, J. Aguiar, E. Silva, et al. Assessing daily activities using a PPG sensor embedded in a wristband-type activity tracker, in Trends and Innovations in Information Systems and Technologies (Springer International Publishing, 2020), pp 108–119

  102. V.D. Corino, R. Laureanti, L. Ferranti et al., Detection of atrial fibrillation episodes using a wristband device. Physiol. Meas. 38, 787 (2017)

    Google Scholar 

  103. H. Cheng-Yu, Z. Ahmed Abro, Z. Yi-Fan, R. Ahmed Lakho, An FBG-based smart wearable ring fabricated using FDM for monitoring body joint motion. J. Ind. Text. 50, 1660–1673 (2021). https://doi.org/10.1177/1528083719870204

    Article  CAS  Google Scholar 

  104. Y. Zhang, J. Cui, K. Ma et al., A wristband device for detecting human pulse and motion based on the internet of things. Measurement 163, 108036 (2020)

    Google Scholar 

  105. M. Panwar, D. Biswas, H. Bajaj et al., Rehab-net: deep learning framework for arm movement classification using wearable sensors for stroke rehabilitation. IEEE Trans. Biomed. Eng. 66, 3026–3037 (2019). https://doi.org/10.1109/TBME.2019.2899927

    Article  Google Scholar 

  106. X. Gao, Y. Yin, Design on a wearable armband device for assessing the motion function of upper limbs. Comput. Commun. 153, 135–144 (2020)

    Google Scholar 

  107. I. Galiana, F.L. Hammond, R.D. Howe, M.B. Popovic, Wearable soft robotic device for post-stroke shoulder rehabilitation: identifying misalignments, in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2012), pp 317–322

  108. S. Shin, M. Kang, J. Jung, Y.T. Kim, Development of miniaturized wearable wristband type surface EMG measurement system for biometric authentication. Electronics 10, 923 (2021). https://doi.org/10.3390/electronics10080923

    Article  Google Scholar 

  109. S. Kim, J. Kim, S. Ahn, Y. Kim, Finger language recognition based on ensemble artificial neural network learning using armband EMG sensors. Technol. Health Care 26, 249–258 (2018). https://doi.org/10.3233/THC-174602

    Article  Google Scholar 

  110. S. Said, S. AlKork, T. Beyrouthy, M.F. Abdrabbo, Wearable bio-sensors bracelet for driveras health emergency detection, in 2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART) (2017), pp 1–4

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Seçkin, M., Seçkin, A.Ç. & Gençer, Ç. Biomedical Sensors and Applications of Wearable Technologies on Arm and Hand. Biomedical Materials & Devices 1, 443–455 (2023). https://doi.org/10.1007/s44174-022-00002-7

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