Bioelectronic Implantable Devices for Physiological Signal Recording and Closed-Loop Neuromodulation

被引:5
|
作者
Oh, Saehyuck [1 ,2 ]
Jekal, Janghwan [1 ,2 ]
Liu, Jia [3 ]
Kim, Jeehwan [4 ]
Park, Jang-Ung [5 ]
Lee, Taeyoon [6 ]
Jang, Kyung-In [1 ,2 ,7 ,8 ,9 ,10 ,11 ]
机构
[1] Daegu Gyeongbuk Inst Sci & Technol, Dept Robot & Mechatron Engn, Daegu 42988, South Korea
[2] Daegu Gyeongbuk Inst Sci & Technol DGIST, Brain Engn Convergence Res Ctr, Daegu 42988, South Korea
[3] Harvard Univ, John A Paulson Sch Engn & Appl Sci, Boston, MA 02134 USA
[4] MIT, Res Lab Elect, Cambridge, MA 02139 USA
[5] Yonsei Univ, Dept Mat Sci & Engn, Seoul 03722, South Korea
[6] Yonsei Univ, Sch Elect & Elect Engn, Seoul 03722, South Korea
[7] Korea Brain Res Inst KBRI, Daegu 41062, South Korea
[8] Daegu Gyeongbuk Inst Sci & Technol DGIST, Dept Interdisciplinary Studies, Artificial Intelligence, Daegu 42988, South Korea
[9] Daegu Gyeongbuk Inst Sci & Technol DGIST, Inst Next Generat Semicond Convergence Technol, Daegu 42988, South Korea
[10] Daegu Gyeongbuk Inst Sci & Technol DGIST, Sensorium Inst, Daegu 42988, South Korea
[11] ENSIDE Corp, Daegu 42988, South Korea
基金
新加坡国家研究基金会;
关键词
bioelectronics; biosensors; closed-loop; implantable devices; neuromodulation; FUNCTIONAL ELECTRICAL-STIMULATION; ENZYME-BASED BIOSENSORS; DEEP BRAIN-STIMULATION; BATTERY-FREE; LONG-TERM; DRUG-DELIVERY; TEMPERATURE SENSOR; PULSE OXIMETRY; MEDICAL DEVICES; NEURAL PROBES;
D O I
10.1002/adfm.202403562
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Bioelectronic implantable devices are adept at facilitating continuous monitoring of health and enabling the early detection of diseases, offering insights into the physiological conditions of various bodily organs. Furthermore, these advanced systems have therapeutic capabilities in neuromodulation, demonstrating their efficacy in addressing diverse medical conditions through the precise delivery of stimuli directly to specific targets. This comprehensive review explores developments and applications of bioelectronic devices within the biomedical field. Special emphasis is placed on the evolution of closed-loop systems, which stand out for their dynamic treatment adjustments based on real-time physiological feedback. The integration of Artificial Intelligence (AI) and edge computing technologies is discussed, which significantly bolster the diagnostic and therapeutic functions of these devices. By addressing elemental analyses, current challenges, and future directions in implantable devices, the review aims to guide the pathway for advances in bioelectronic devices. This review explores bioelectronic implantable devices, which monitor physiological signals and detect diseases early by interfacing with bodily organs. It highlights their use in neuromodulation for precise therapeutic delivery and discusses closed-loop systems that adapt treatments from real-time feedback. Integration of AI and edge computing enhances their functions, addressing challenges and future directions in bioelectronics. image
引用
收藏
页数:52
相关论文
共 50 条
  • [1] Closed-Loop Neuromodulation in Physiological and Translational Research
    Zanos, Stavros
    COLD SPRING HARBOR PERSPECTIVES IN MEDICINE, 2019, 9 (11):
  • [2] Closed-loop neuromodulation will increase the utility of mouse models in Bioelectronic Medicine
    Datta-Chaudhuri T.
    Bioelectronic Medicine, 2021, 7 (01)
  • [3] Neural signal processing for closed-loop neuromodulation
    Cha K.S.
    Yeo D.
    Kim K.H.
    Biomedical Engineering Letters, 2016, 6 (3) : 113 - 122
  • [4] Closed-Loop Implantable Therapeutic Neuromodulation Systems Based on Neurochemical Monitoring
    Mirza, Khalid B.
    Golden, Caroline T.
    Nikolic, Konstantin
    Toumazou, Christofer
    FRONTIERS IN NEUROSCIENCE, 2019, 13
  • [5] Implantable and biodegradable closed-loop devices for autonomous electrotherapy
    Zhang, Xiaoying
    Mehvish, Darakhshan
    Yang, Hui
    SMARTMAT, 2023, 4 (03):
  • [6] Compact Closed-loop EEG/fNIRS Recording and TMS Neuromodulation System
    Li, Ning
    Yang, Jie
    Sawan, Mohamad
    2022 20TH IEEE INTERREGIONAL NEWCAS CONFERENCE (NEWCAS), 2022, : 290 - 293
  • [7] Implantable IoT System for Closed-Loop Epilepsy Control based on Electrical Neuromodulation
    Ranjandish, Reza
    Schmid, Alexandre
    PROCEEDINGS OF THE 2018 26TH IFIP/IEEE INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION (VLSI-SOC), 2018, : 155 - 158
  • [8] Cardiac Electrical Modeling for Closed-Loop Validation of Implantable Devices
    Ai, Weiwei
    Patel, Nitish D.
    Roop, Partha S.
    Malik, Avinash
    Trew, Mark L.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (02) : 536 - 544
  • [9] Closed-loop bioelectronic medicine for diabetes management
    Güemes Gonzalez, Amparo
    Etienne-Cummings, Ralph
    Georgiou, Pantelis
    Bioelectronic Medicine, 2020, 6 (01)
  • [10] Design of A Low Noise Neural Recording Amplifier for Closed-loop Neuromodulation Applications
    Luo, Deng
    Zhang, Milin
    Wang, Zhihua
    2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,