TY - GEN
T1 - Performance Analysis of Single Coreshell Magnetoelectric Microdevice for Electrical Stimulation
AU - Narayanan, Ram Prasadh
AU - Rangriz Rostami, Fazel
AU - Khaleghi, Ali
AU - Balasingham, Ilangko
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Electrical stimulation of biological cells and tissues is an established technique to stimulate cells such as neurons and cardiomyocytes to enable the treatment of some disorders like Parkinson's disease, cardiac arrhythmias, obstructive sleep apnea epilepsy, and depression. These devices use electronic circuits, batteries, and wires to transfer the stimulation signal to the target region. On the contrary, macro-scale devices such as scalp based bioelectrodes, surgical implants etc., require invasive surgery and constant fault monitoring. The use of standalone bio-compatible wireless micro-devices that can enable remote control and monitoring, powering and stimulation of cells and tissues and, deliver the stimulation therapy without additional circuits and battery, can be a significant advantage. In this paper, we introduce the concept of using magnetoelectric (ME) material composition to generate controllable electrical stimulation patterns for the Central Nervous System (CNS) stimulation therapy. We propose the potential use of ME structures in multi-modal resonant frequencies, for active stimulation. A spherical ME coreshell microdevice is designed and the Multiphysics numerical computations are used to evaluate the strain induced voltage on the device by using a remote magnetic bias and alternating magnetic field. It is shown that using the ME device in the resultant strain mode can create a sufficient voltage gradient that can potentially be used for wireless stimulation.
AB - Electrical stimulation of biological cells and tissues is an established technique to stimulate cells such as neurons and cardiomyocytes to enable the treatment of some disorders like Parkinson's disease, cardiac arrhythmias, obstructive sleep apnea epilepsy, and depression. These devices use electronic circuits, batteries, and wires to transfer the stimulation signal to the target region. On the contrary, macro-scale devices such as scalp based bioelectrodes, surgical implants etc., require invasive surgery and constant fault monitoring. The use of standalone bio-compatible wireless micro-devices that can enable remote control and monitoring, powering and stimulation of cells and tissues and, deliver the stimulation therapy without additional circuits and battery, can be a significant advantage. In this paper, we introduce the concept of using magnetoelectric (ME) material composition to generate controllable electrical stimulation patterns for the Central Nervous System (CNS) stimulation therapy. We propose the potential use of ME structures in multi-modal resonant frequencies, for active stimulation. A spherical ME coreshell microdevice is designed and the Multiphysics numerical computations are used to evaluate the strain induced voltage on the device by using a remote magnetic bias and alternating magnetic field. It is shown that using the ME device in the resultant strain mode can create a sufficient voltage gradient that can potentially be used for wireless stimulation.
KW - Cell stimulation
KW - Magnetoelectric sensing
KW - Nanocommunication
UR - http://www.scopus.com/inward/record.url?scp=85142279580&partnerID=8YFLogxK
U2 - 10.1109/BSN56160.2022.9928514
DO - 10.1109/BSN56160.2022.9928514
M3 - Conference contribution
AN - SCOPUS:85142279580
T3 - BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks - Proceedings
BT - BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, BSN 2022
Y2 - 27 September 2022 through 30 September 2022
ER -