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Keshyagol, K. Evolution of Flexible Sensors in Medical Applications. Encyclopedia. Available online: https://encyclopedia.pub/entry/56845 (accessed on 19 November 2024).
Keshyagol K. Evolution of Flexible Sensors in Medical Applications. Encyclopedia. Available at: https://encyclopedia.pub/entry/56845. Accessed November 19, 2024.
Keshyagol, Kiran. "Evolution of Flexible Sensors in Medical Applications" Encyclopedia, https://encyclopedia.pub/entry/56845 (accessed November 19, 2024).
Keshyagol, K. (2024, August 22). Evolution of Flexible Sensors in Medical Applications. In Encyclopedia. https://encyclopedia.pub/entry/56845
Keshyagol, Kiran. "Evolution of Flexible Sensors in Medical Applications." Encyclopedia. Web. 22 August, 2024.
Evolution of Flexible Sensors in Medical Applications
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This article explores the development and significance of flexible capacitive pressure sensors (CPS) in medical applications. It begins by tracing the historical origins of capacitive sensing and highlights the recent advancements that have made flexible CPS a vital technology in the healthcare industry. The article delves into key applications of CPS, such as wearable health monitors, artificial skin for prosthetics, minimally invasive medical devices, and implantable cardiac monitors. Through various case studies, it illustrates how these sensors enhance patient care by offering continuous, accurate, and non-invasive monitoring. The article concludes by discussing the challenges and future potential of CPS in revolutionizing medical technology.

Flexible devices Capacitive pressure sensors Medical applictaions Capacitance Dielectrics

1. Flexible sensors in medical devices 

Flexible devices, especially within medical applications, have garnered substantial attention due to their adaptability, comfort, and the potential to provide real-time, continuous monitoring of physiological parameters [1][2]. Among these technologies, capacitive pressure sensors (CPS) have emerged as a pivotal innovation, particularly in applications such as wearable health monitoring, artificial skin, and minimally invasive medical devices [3][4][5]. The origins of capacitive sensing can be traced back to the early 20th century, when capacitors were initially employed to measure displacement and proximity [6][7][8]. However, the implementation of capacitive sensors in flexible devices is a relatively recent advancement. The first instances of flexible capacitive sensors emerged in the late 20th and early 21st centuries, driven by significant progress in material science, micro-fabrication techniques, and the burgeoning interest in wearable electronics [9][10][11]. Initially, flexible capacitive sensors were predominantly utilized in research settings. However, with the advent of novel materials such as polydimethylsiloxane (PDMS), graphene, and other flexible polymers, these sensors have transitioned into practical applications within the medical domain [12][13][14]. The incorporation of these sensors into flexible substrates has enabled the development of devices capable of conforming to the human body, thereby facilitating more accurate and comfortable monitoring solutions [15][16]. The current landscape of flexible CPS technology is marked by rapid advancements and increasing integration into diverse medical applications [17][18]. In wearable health monitoring [19], CPS has been instrumental in developing devices that can continuously track vital signs such as blood pressure, heart rate, and respiratory function. These devices benefit from the inherent flexibility and biocompatibility[20] of the materials used, allowing for extended wear without causing discomfort or irritation to the user. For example, a notable case study involves the development of a wearable CPS using PDMS to monitor blood pressure in real-time. Researchers designed the sensor to be worn on the wrist, where it continuously measured blood pressure with high accuracy, providing a comfortable and user-friendly solution for patients with hypertension [21][20]. The real-time data collection facilitated the identification of blood pressure fluctuations that might go unnoticed with traditional intermittent measurements [22].

Moreover, CPS technology has found a significant role in the development of artificial skin, which is used in prosthetics and robotics. These sensors enable prosthetic limbs to detect and respond to external stimuli, mimicking the tactile feedback of human skin [23][24]. This capability is crucial for improving the functionality and user experience of prosthetic devices, allowing users to perform delicate tasks with greater precision [25]. For instance, in a case study involving the integration of CPS into artificial skin, researchers developed a multi-layered CPS embedded in a silicone-based elastomer, which was then applied to a prosthetic hand [26]. The artificial skin allowed the prosthetic to sense pressure variations and differentiate between various textures, significantly enhancing the user’s ability to interact with their environment. Minimally invasive medical devices also benefit from flexible CPS, particularly in critical care settings where continuous monitoring of internal pressures is necessary [27]. A case study exemplifying this application involved the development of a flexible CPS that could be integrated into a catheter for monitoring intracranial and intra-abdominal pressures [28]. The sensor was tested in both in vitro and in vivo models, providing accurate real-time data while minimizing discomfort for patients [29]. This innovation highlights the potential of CPS to reduce the invasiveness of critical monitoring procedures, offering a safer and more comfortable option for patients in critical care. Lastly, implantable devices for cardiac monitoring represent another promising application of CPS technology. In a relevant case study, researchers developed a biocompatible, flexible CPS that could be embedded into pacemaker leads to monitor intracardiac pressure continuously [30][31]. This sensor demonstrated high accuracy and biocompatibility in preclinical trials, offering the potential to improve personalized cardiac care by allowing pacemakers to adjust settings dynamically based on real-time pressure data. The continuous monitoring capability could enhance the effectiveness of therapy and improve patient outcomes, showcasing the transformative potential of CPS in the medical field [32]. Overall, these case studies illustrate the transformative potential of flexible CPS in medical applications [33]. While the technology is still evolving, its ability to provide continuous, accurate, and non-invasive monitoring makes it a promising tool for improving patient care. As ongoing research addresses current challenges such as material durability and sensor stability, flexible CPS is poised to play a crucial role in the future of medical technology [34][35].

2. Challenges in the Development and Deployment of CPS

Despite the significant progress and promising applications of CPS in medical technology, several challenges remain that need to be addressed to fully realize their potential [36]. One of the primary challenges is the durability of the materials used in these sensors [37][38]. Although materials like PDMS and graphene offer the necessary flexibility and biocompatibility, their long-term stability under physiological conditions is still a concern [39]. These materials can undergo degradation due to factors such as moisture, temperature fluctuations, and mechanical wear, which can affect the sensor's accuracy and reliability over time. Research is ongoing to develop new materials and coatings that can enhance the durability and longevity of CPS in various medical applications [40]. Another challenge is the miniaturization of CPS for implantable devices. While the current technology has made significant strides in creating compact sensors, further miniaturization is essential for integrating CPS into more invasive medical devices, such as those used in neurology and cardiology [41]. The miniaturization process must ensure that the sensors maintain their sensitivity and accuracy while being small enough to be comfortably implanted within the human body [42]. Additionally, the integration of power sources and data transmission capabilities into these tiny devices without compromising their performance is a complex engineering challenge that requires innovative solutions [43].

3. Future Directions and Research Opportunities

The future of flexible CPS in medical applications looks promising, with several research directions emerging that could further enhance their capabilities and broaden their use cases [44]. One exciting area of research is the development of self-healing materials for CPS. These materials can repair themselves after being damaged, thereby extending the lifespan of the sensors and reducing the need for replacements [45]. Incorporating self-healing properties into CPS could be particularly beneficial for long-term implantable devices, where replacing the sensor would require invasive surgery [28]. Another promising direction is the integration of CPS with other types of sensors, such as temperature or biochemical sensors, to create multifunctional devices that can monitor multiple physiological parameters simultaneously [46]. For instance, a CPS could be combined with a biochemical sensor to monitor pressure and detect specific biomarkers in bodily fluids, providing a more comprehensive assessment of a patient's health. This multi-modal approach could lead to the development of advanced wearable or implantable devices capable of providing continuous, real-time health monitoring with a high degree of accuracy [47]. Moreover, the use of artificial intelligence (AI) and machine learning (ML) algorithms in conjunction with CPS data could revolutionize personalized medicine [48]. By analyzing the data collected by CPS in real-time, AI algorithms could identify patterns and predict health issues before they become critical, enabling early intervention and more personalized treatment plans [49]. This approach could be particularly useful in managing chronic conditions such as hypertension and diabetes, where continuous monitoring and timely adjustments to treatment are crucial for maintaining health [50].

4. Broader Impact on Healthcare and Society

The integration of CPS into medical devices not only holds the potential to improve individual patient care but also has broader implications for the healthcare system and society as a whole [51]. The ability to provide continuous, real-time monitoring through non-invasive or minimally invasive means could reduce the need for frequent hospital visits and allow patients to manage their health from the comfort of their homes [52]. This shift towards home-based care could alleviate the burden on healthcare facilities, reduce healthcare costs, and improve the quality of life for patients with chronic conditions [53]. Furthermore, the widespread adoption of CPS in medical devices could lead to the development of more personalized and preventative healthcare strategies [54]. By enabling continuous monitoring and early detection of health issues, CPS could help shift the focus of healthcare from reactive treatment to proactive prevention. This shift could result in better health outcomes, reduced healthcare costs, and a more sustainable healthcare system [55].

References

  1. Nikolay L. Kazanskiy; Svetlana N. Khonina; Muhammad A. Butt; A review on flexible wearables – Recent developments in non-invasive continuous health monitoring. Sensors Actuators A: Phys.. 2024, 366, NA.
  2. Shuwen Chen; Jiaming Qi; Shicheng Fan; Zheng Qiao; Joo Chuan Yeo; Chwee Teck Lim; Flexible Wearable Sensors for Cardiovascular Health Monitoring. Adv. Heal. Mater.. 2021, 10, 2100116.
  3. Yaping Zang; Fengjiao Zhang; Chong-An Di; Daoben Zhu; Advances of flexible pressure sensors toward artificial intelligence and health care applications. Mater. Horizons. 2014, 2, 140-156.
  4. Kiran Keshyagol; Shivashankarayya Hiremath; Vishwanatha H. M.; Achutha Kini U.; Nithesh Naik; Pavan Hiremath; Optimizing Capacitive Pressure Sensor Geometry: A Design of Experiments Approach with a Computer-Generated Model. Sensors. 2024, 24, 3504.
  5. Hao Yuan; Qiran Zhang; Tong Zhou; Wenbo Wu; Haoran Li; Zhuopeng Yin; Jinming Ma; Tifeng Jiao; Progress and challenges in flexible capacitive pressure sensors: Microstructure designs and applications. Chem. Eng. J.. 2024, 485, NA.
  6. Yong Ye; Chiya Zhang; Chunlong He; Xi Wang; Jianjun Huang; Jiahao Deng; A Review on Applications of Capacitive Displacement Sensing for Capacitive Proximity Sensor. IEEE Access. 2020, 8, 45325-45342.
  7. Andreas Braun; Reiner Wichert; Arjan Kuijper; Dieter W. Fellner; Capacitive proximity sensing in smart environments. J. Ambient. Intell. Smart Environ.. 2015, 7, 483-510.
  8. Andreas Braun; Application and validation of capacitive proximity sensing systems in smart environments. J. Ambient. Intell. Smart Environ.. 2015, 7, 693-694.
  9. Vigneshwar Sakthivelpathi; Tianyi Li; Zhongjie Qian; Changwoo Lee; Zachary Taylor; Jae-Hyun Chung; Advancements and applications of micro and nanostructured capacitive sensors: A review. Sensors Actuators A: Phys.. 2024, 377, NA.
  10. Anindya Nag; Subhas Chandra Mukhopadhyay; Jurgen Kosel. Printed Flexible Sensors; Springer Nature: Dordrecht, GX, Netherlands, 2019; pp. NA.
  11. Tao Han; Anindya Nag; Nasrin Afsarimanesh; Subhas Chandra Mukhopadhyay; Sudip Kundu; Yongzhao Xu; Laser-Assisted Printed Flexible Sensors: A Review. Sensors. 2019, 19, 1462.
  12. Shanshan Yao; Ping Ren; Runqiao Song; Yuxuan Liu; Qijin Huang; Jingyan Dong; Brendan T. O'Connor; Yong Zhu; Nanomaterial‐Enabled Flexible and Stretchable Sensing Systems: Processing, Integration, and Applications. Adv. Mater.. 2019, 32, e1902343.
  13. Hyo‐Ryoung Lim; Hee Seok Kim; Raza Qazi; Young‐Tae Kwon; Jae‐Woong Jeong; Woon‐Hong Yeo; Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment. Adv. Mater.. 2019, 32, e1901924.
  14. Hyo‐Ryoung Lim; Hee Seok Kim; Raza Qazi; Young‐Tae Kwon; Jae‐Woong Jeong; Woon‐Hong Yeo; Wearable Flexible Hybrid Electronics: Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment (Adv. Mater. 15/2020). Adv. Mater.. 2020, 32, NA.
  15. Saleem Khan; Shawkat Ali; Amine Bermak; Recent Developments in Printing Flexible and Wearable Sensing Electronics for Healthcare Applications. Sensors. 2019, 19, 1230.
  16. Kenry; Joo Chuan Yeo; Chwee Teck Lim; Emerging flexible and wearable physical sensing platforms for healthcare and biomedical applications. Microsystems Nanoeng.. 2016, 2, 16043.
  17. Rishabh B. Mishra; Nazek El‐Atab; Aftab M. Hussain; Muhammad M. Hussain; Recent Progress on Flexible Capacitive Pressure Sensors: From Design and Materials to Applications. Adv. Mater. Technol.. 2021, 6, 2001023.
  18. Rishabh B. Mishra; Nazek El‐Atab; Aftab M. Hussain; Muhammad M. Hussain; Flexible Capacitive Pressure Sensors: Recent Progress on Flexible Capacitive Pressure Sensors: From Design and Materials to Applications (Adv. Mater. Technol. 4/2021). Adv. Mater. Technol.. 2021, 6, 2170023.
  19. Kuniharu Takei; Wataru Honda; Shingo Harada; Takayuki Arie; Seiji Akita; Toward Flexible and Wearable Human‐Interactive Health‐Monitoring Devices. Adv. Heal. Mater.. 2014, 4, 487-500.
  20. Yang Li; Weihua Chen; Lehui Lu; Wearable and Biodegradable Sensors for Human Health Monitoring. ACS Appl. Bio Mater.. 2020, 4, 122-139.
  21. Minjeong Ha; Seongdong Lim; Hyunhyub Ko; Wearable and flexible sensors for user-interactive health-monitoring devices. J. Mater. Chem. B. 2018, 6, 4043-4064.
  22. Duarte Dias; João Paulo Silva Cunha; Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies. Sensors. 2018, 18, 2414.
  23. Yuanzhao Wu; Yiwei Liu; Youlin Zhou; Qikui Man; Chao Hu; Waqas Asghar; Fali Li; Zhe Yu; Jie Shang; Gang Liu; Meiyong Liao; Run-Wei Li; A skin-inspired tactile sensor for smart prosthetics. Sci. Robot.. 2018, 3, NA.
  24. Mark M. Iskarous; Nitish V. Thakor; E-Skins: Biomimetic Sensing and Encoding for Upper Limb Prostheses. Proc. IEEE. 2019, 107, 2052-2064.
  25. Francesca Cordella; Anna Lisa Ciancio; Rinaldo Sacchetti; Angelo Davalli; Andrea Giovanni Cutti; Eugenio Guglielmelli; Loredana Zollo; Literature Review on Needs of Upper Limb Prosthesis Users. Front. Neurosci.. 2016, 10, 209.
  26. Omid Rajabi Shishvan; Daphney-Stavroula Zois; Tolga Soyata; Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey. IEEE Access. 2018, 6, 46419-46494.
  27. Kiran Keshyagol; Shivashankarayya Hiremath; Vishwanatha H. M.; P. Krishnananda Rao; Pavan Hiremath; Nithesh Naik; Analysis of Polymer-Ceramic Composites Performance on Electrical and Mechanical Properties through Finite Element and Empirical Models. Mater.. 2024, 17, 3837.
  28. Omid Rajabi Shishvan; Daphney-Stavroula Zois; Tolga Soyata. Incorporating Artificial Intelligence into Medical Cyber Physical Systems: A Survey; Springer Nature: Dordrecht, GX, Netherlands, 2019; pp. 153-178.
  29. Andrea M. Plaza; Jessica Díaz; Jennifer Pérez; Software architectures for health care cyber‐physical systems: A systematic literature review. J. Software: Evol. Process.. 2018, 30, NA.
  30. Bingxi Yan; Actuators for Implantable Devices: A Broad View. Micromachines. 2022, 13, 1756.
  31. Nikita Obidin; Farita Tasnim; Canan Dagdeviren; The Future of Neuroimplantable Devices: A Materials Science and Regulatory Perspective. Adv. Mater.. 2019, 32, e1901482.
  32. Nilanjan Dey; Amira S. Ashour; Fuqian Shi; Simon James Fong; João Manuel R. S. Tavares; Medical cyber-physical systems: A survey. J. Med Syst.. 2018, 42, 74.
  33. Kiran Keshyagol; Shivashankarayya Hiremath; Vishwanatha H. M.; Pavan Hiremath. Estimation of Energy Storage Capability of the Parallel Plate Capacitor Filled with Distinct Dielectric Materials; MDPI AG: Basel, Switzerland, 2023; pp. 95.
  34. Baicun Wang; Pai Zheng; Yue Yin; Albert Shih; Lihui Wang; Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective. J. Manuf. Syst.. 2022, 63, 471-490.
  35. Armando Calabrese; Antonio D'Uffizi; Nathan Levialdi Ghiron; Luca Berloco; Elaheh Pourabbas; Nathan Proudlove; Design and development of a digital diagnostic clinical pathway: evidence from an action research study. Eur. J. Innov. Manag.. 2024, 27, 94-126.
  36. Zinnat Morsada; Milon Hossain; M. Tauhidul Islam; Ahsanul Mobin; Shumit Saha; Recent progress in biodegradable and bioresorbable materials: From passive implants to active electronics. Appl. Mater. Today. 2021, 25, 101257.
  37. H. Ceren Ates; Peter Q. Nguyen; Laura Gonzalez-Macia; Eden Morales-Narváez; Firat Güder; James J. Collins; Can Dincer; End-to-end design of wearable sensors. Nat. Rev. Mater.. 2022, 7, 887-907.
  38. Yunjian Guo; Xiao Wei; Song Gao; Wenjing Yue; Yang Li; Guozhen Shen; Recent Advances in Carbon Material‐Based Multifunctional Sensors and Their Applications in Electronic Skin Systems. Adv. Funct. Mater.. 2021, 31, 2104288.
  39. Richard M. Bergenstal; James R. Gavin; The role of self-monitoring of blood glucose in the care of people with diabetes: report of a global consensus conference. Am. J. Med.. 2005, 118, 1-6.
  40. Dan Xia; Jiatian Chen; Zhongyang Zhang; Mingdong Dong; Emerging polymeric biomaterials and manufacturing techniques in regenerative medicine. Aggreg.. 2022, 3, e176.
  41. Dan Xia; Jiatian Chen; Zhongyang Zhang; Mingdong Dong; Inside Front Cover: Emerging polymeric biomaterials and manufacturing techniques in regenerative medicine. Aggreg.. 2022, 3, NA.
  42. Rongyan He; Hao Liu; Yan Niu; Huiqing Zhang; Guy M. Genin; Feng Xu; Flexible Miniaturized Sensor Technologies for Long-Term Physiological Monitoring. npj Flex. Electron.. 2022, 6, 1-11.
  43. D. Puccinelli; M. Haenggi; Wireless sensor networks: applications and challenges of ubiquitous sensing. IEEE Circuits Syst. Mag.. 2005, 5, 19-31.
  44. Nilanjan Dey; Amira S. Ashour; Fuqian Shi; Simon James Fong; João Manuel R. S. Tavares; Medical cyber-physical systems: A survey. J. Med Syst.. 2018, 42, 74.
  45. Omid Rajabi Shishvan; Daphney-Stavroula Zois; Tolga Soyata; Machine Intelligence in Healthcare and Medical Cyber Physical Systems: A Survey. IEEE Access. 2018, 6, 46419-46494.
  46. Tiezhu Liu; Lidan Liu; Guang-Yang Gou; Zhen Fang; Jianhai Sun; Jiamin Chen; Jianqun Cheng; Mengdi Han; Tianjun Ma; Chunxiu Liu; Ning Xue; Recent Advancements in Physiological, Biochemical, and Multimodal Sensors Based on Flexible Substrates: Strategies, Technologies, and Integrations. ACS Appl. Mater. Interfaces. 2023, 15, 21721-21745.
  47. Yu-Hao Li; Yu-Lin Li; Mu-Yang Wei; Guang-Yu Li; Innovation and challenges of artificial intelligence technology in personalized healthcare. Sci. Rep.. 2024, 14, 1-9.
  48. Rahatara Ferdousi; M. Anwar Hossain; Abdulmotaleb El Saddik; Early-Stage Risk Prediction of Non-Communicable Disease Using Machine Learning in Health CPS. IEEE Access. 2021, 9, 96823-96837.
  49. Zeeshan Ahmed; Khalid Mohamed; Saman Zeeshan; XinQi Dong; Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database. 2020, 2020, NA.
  50. Richard M. Bergenstal; James R. Gavin; The role of self-monitoring of blood glucose in the care of people with diabetes: report of a global consensus conference. Am. J. Med.. 2005, 118, 1-6.
  51. C J Murray; J Frenk; A framework for assessing the performance of health systems.. null. 2000, 78, 717-31.
  52. Raimundas Lunevicius; M. Hafizur Rahman; Assessment of Lithuanian trauma care service using a conceptual framework for assessing the performance of health system. Eur. J. Public Heal.. 2010, 22, 26-31.
  53. Emmanuel Kumah; Samuel E. Ankomah; Adam Fusheini; Peter Agyei-Baffour; Martin A. Ayanore; Richard K. Asravor; Felix O. Kesse; Emmanuel Mwini; Godfred Otchere; Framework for assessing the performance of the Ghanaian health system: study protocol. Heal. Res. Policy Syst.. 2021, 19, 1-8.
  54. Emmanuel Kumah; Samuel E. Ankomah; Adam Fusheini; Peter Agyei Baffour; Martin A. Ayanore; Richard K. Asravor; Felix O. Kesse; Emmanuel Mwini; Godfrd Otchere. Framework for Assessing the Performance of the Ghanaian Health System: Study Protocol; Research Square Platform LLC: Durham, NC, United States, 2020; pp. NA.
  55. Jafar Sadegh Tabrizi; Kamal Gholipour; Shabnam Iezadi; Mostafa Farahbakhsh; Akbar Ghiasi; A framework to assess management performance in district health systems: a qualitative and quantitative case study in Iran. Cad. de Saude publica. 2018, 34, e00071717.
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