Department of Chemistry, School of Basic and Applied Sciences, Galgotias University, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh- 201308, India.
School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Sensors (Basel). 2019 Mar 28;19(7):1525. doi: 10.3390/s19071525.
Epilepsy is a serious neurological disorder which affects every aspect of patients' life, including added socio-economic burden. Unfortunately, only a few suppressive medicines are available, and a complete cure for the disease has not been found yet. Excluding the effectiveness of available therapies, the timely detection and monitoring of epilepsy are of utmost priority for early remediation and prevention. Inability to detect underlying epileptic signatures at early stage causes serious damage to the central nervous system (CNS) and irreversible detrimental variations in the organ system. Therefore, development of a multi-task solving novel smart biosensing systems is urgently required. The present review highlights advancements in state-of-art biosensing technology investigated for epilepsy diseases diagnostics and progression monitoring or both together. State of art epilepsy biosensors are composed of nano-enabled smart sensing platform integrated with micro/electronics and display. These diagnostics systems provide bio-information needed to understand disease progression and therapy optimization timely. The associated challenges related to the development of an efficient epilepsy biosensor and vision considering future prospects are also discussed in this report. This review will serve as a guide platform to scholars for understanding and planning of future research aiming to develop a smart bio-sensing system to detect and monitor epilepsy for point-of-care (PoC) applications.
癫痫是一种严重的神经系统疾病，影响患者生活的方方面面，包括增加社会经济负担。不幸的是，目前可用的抑制药物有限，而且这种疾病还没有完全治愈。除了现有疗法的效果外，及时发现和监测癫痫是早期补救和预防的重中之重。由于无法在早期检测到潜在的癫痫特征，因此对中枢神经系统（CNS）造成严重损害，并导致器官系统不可逆转的有害变化。因此，迫切需要开发一种多任务解决新型智能生物传感系统。本综述重点介绍了为癫痫疾病诊断和进展监测或两者同时进行而开发的最先进生物传感技术的进展。最先进的癫痫生物传感器由纳米增强的智能传感平台与微电子和显示器集成而成。这些诊断系统提供了及时了解疾病进展和优化治疗所需的生物信息。本报告还讨论了开发高效癫痫生物传感器以及考虑未来前景的相关挑战。本综述将为学者提供一个了解和规划未来研究的平台，旨在开发用于即时护理（PoC）应用的智能生物传感系统来检测和监测癫痫。
