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Dhanshri Vishal Patil,
Shailesh Solanki,
Ponmurugan Panneerselvam,
Amol Barde,
Vinod Kumar Naidu Pamuluri,
M Sudhakar,
- Associate Professor, Department of Computer Science and Engineering, Krishna Institute of Science and Technology, Krishna Vishwa Vidyapeeth “Deemed to be University”, Karad, Satara, Maharashtra, India
- Associate Professor, Department of Science, School of Sciences, Noida international University, Greater Noida, Uttar Pradesh, India
- Associate Professor, Department of Research, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India
- Associate Professor, Department of Mechanical Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, India
- Associate Professor, Department of Mechanical Engineering, Pragati Engineering College, Kakinada District, Andhra Pradesh, India
- Associate Professor, Department of Computer Science and Engineering (AI&ML), Vardhaman College of Engineering, Shamshabad, Telangana, India
Abstract
The wireless biosensing polymer composites have been found as one of the possible solutions in developing flexible, real-time and intelligent healthcare monitoring systems. Biomimic polymer matrices coupled with conductive nanomaterials can be used to design an understanding of physiological signals (strain, pressure, and temperature) that are highly sensitive and adaptable sensors. The attachment of these sensors to wireless communication systems, such as the Bluetooth Low Energy and Wi-Fi, eases the flow of data to be used in remote monitoring purposes. The suggested framework combines the material design, sensor fabrication, wireless communication, and machine learning-based analytics into an integrated smart healthcare framework. Experimental analysis reveals the great advancement in the sensitivity, response time and stability of the signal in relation to the traditional sensing systems. Neural networks and other machine learning models are capable of high prediction accuracy in health condition analysis and allow one to detect anomalies early. Edge and cloud computing applications allow real-time response with greater scale and responsiveness of the system. In spite of these developments, they have the problem of energy efficiency, long term reliability as well as data security. The given strategy offers a scalable and effective channel to the next-generation wearable and implantable medical devices to enhance the patient outcomes and ongoing health monitoring.
Keywords: Wireless Biosensing, Polymer Composites, Smart Healthcare Devices, Flexible Sensors, Machine Learning, Internet of Things, Biomedical Sensors.
References
- Shen, “Recent advances of flexible sensors for biomedical applications,” Progress in Natural Science: Materials International, vol. 31, pp. 872–882, 2021.
- Zeng, R. Peng, Z. Fan, and Y. Lin, “Self-powered and wearable biosensors for healthcare,” Materials Today Energy, vol. 23, p. 100900, 2022.
- Abhilash and D. Thomas, Biopolymers for Biocomposites and Chemical Sensor Applications. Amsterdam, The Netherlands: Elsevier, 2017.
- K. Manvi, M. Beckers, B. Mohr, G. Seide, T. Gries, and C. Bunge, “Polymer fiber-based biocomposites for medical sensing applications,” in Biopolymer Composites in Electronics, Amsterdam, The Netherlands: Elsevier, 2019.
- R. Sempionatto, M. Lin, L. Yin, E. De la Paz, K. Pei, T. Sonsa-Ard, A. N. d. L. Silva, A. A. Khorshed, F. Zhang, N. Tostado, et al., “An epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers,” Nature Biomedical Engineering, vol. 5, pp. 737–748, 2021.
- Tandon, H. H. Nguyen, S. Avula, D. R. Seshadri, A. Patel, M. Fares, O. Baloglu, S. Amdani, R. Jafari, and O. T. Inan, “Wearable biosensors in congenital heart disease: Needs to advance the field,” JACC: Advances, vol. 2, p. 100267, 2023.
- Khanpurkar, P. K. Tembhekar, J. N. Bagde, R. D. Janbandhu, K. R. Moharkar, and S. W. Godhane, “Design and Development of an Arduino-Based Intelligent Object Sorting System”, IJTARME, vol. 14, no. 1, pp. 23–28, May 2025.
- Meng, S. Zhao, Y. Zhou, Y. Wu, S. Zhang, Q. He, X. Wang, Z. Zhou, W. Fan, and X. Tan, “A wireless textile-based sensor system for self-powered personalized health care,” Matter, vol. 2, pp. 896–907, 2020.
- Pan, Y. Li, Y. Luo, X. Zhang, X. Wang, D. L. T. Wong, C.-H. Heng, C.-K. Tham, and A. V.-Y. Thean, “Hybrid-flexible bimodal sensing wearable glove system for complex hand gesture recognition,” ACS Sensors, vol. 6, pp. 4156–4166, 2021.
- Mathew, S. Radhakrishnan, A. Vaidyanathan, B. Chakraborty, and C. S. Rout, “Flexible and wearable electrochemical biosensors based on two-dimensional materials: Recent developments,” Analytical and Bioanalytical Chemistry, vol. 413, pp. 727–762, 2021.
- Ullah, M. Azeem, H. Ashraf, A. A. Alaboudi, M. Humayun, and N. Jhanjhi, “Secure healthcare data aggregation and transmission in IoT—A survey,” IEEE Access, vol. 9, pp. 16849–16865, 2021.
- Liu, Z. Lv, S. Batool, M. Li, P. Zhao, L. Guo, Y. Wang, Y. Zhou, and S. Han, “Biocompatible material-based flexible biosensors: From materials design to wearable/implantable devices and integrated sensing systems,” Small, vol. 19, e2207879, 2023.
- A. Iliyasu, O. A. Abisoye, S. A. Bashir, and J. A. Ojeniyi, “A review of DNA cryptographic approaches,” in Proc. IEEE 2nd Int. Conf. Cyberspace (CYBER Nigeria), Abuja, Nigeria, 2021, pp. 66–72.
- U. Lee, S.-C. Kim, D. Y. Choi, W.-K. Jung, and M. J. Moon, “Basic amino acid-mediated cationic amphiphilic surfaces for antimicrobial pH monitoring sensor with wound healing effects,” Biomaterials Research, vol. 27, 2023.
- Li, C. Carlos, H. Zhou, J. Sui, Y. Wang, Z. Silva-Pedraza, F. Yang, Y. Dong, Z. Zhang, and T. A. Hacker, “Stretchable piezoelectric biocrystal thin films,” Nature Communications, vol. 14, p. 6562, 2023.
Journal of Polymer & Composites
| Volume | 14 | |
| 14 | ||
| Received | 01/08/2026 | |
| Accepted | 11/06/2026 | |
| Published | 21/08/2026 | |
| Publication Time | 20 Days |