most citedPropagation models for IEEE 802.15.6 standardization of implant communication in body area networks

133 citations · 223 across the 7 of their papers we have counts for

collaborators

10 papers

eess.SP20264 cited

Safety Analysis of Metasurface-Based Near-field Wireless Power Transfer System for Deep Implant

Maoyuan Li, Ali Khaleghi, Ilangko Balasingham

Wireless power transfer is a method for energizing future implantable medical electronics. In this study, a metasurface-based near-field magnetic wireless power transfer system for…

eess.SP2026

Frequency demodulation with magnetoelectric coreshells: A novel approach to enhanced bio-stimulation

Ram Prasadh Narayanan, Ali Khaleghi, Ilangko Balasingham

Magnetoelectric (ME) coreshell devices have interesting applications in biomedical technologies including biosensing and communication, due to their strong inter-coupling between t…

eess.SP20261 cited

Advancing Brain-Machine Interfaces: High Data Rate Battery-Free Implants

Aminolah Hasanvand, Ali Khaleghi, Cyril Beguet +2

Implantable wireless brain-machine interfaces (BMI) encounter significant challenges in miniaturization, power consumption, and high data volume. While systems utilizing high resol…

eess.SP202683 cited

Ultra-wideband statistical propagation channel model for implant sensors in the human chest

Ali Khaleghi, Raúl Chávez-Santiago, Ilangko Balasingham

Implant medical wireless sensors for monitoring physiological parameters, automatic drug provision, and so on represent a new promising healthcare technology. Inherent characterist…

eess.SP2026133 cited

Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks

Raul Chavez-Santiago, Kamran Sayrafian-Pour, Ali Khaleghi +4

A body area network is a radio communication protocol for short-range, low-power, and highly reliable wireless communication for use on the surface, inside, or in the peripheral pr…

eess.SP20262 cited

Antenna System for Simultaneous Wireless Power and Information Transfer to Brain Implants

Ali Khaleghi, Aminolah Hassanvand, Ilangko Balasingham

Brain-Computer Interfaces (BCIs) have revolutionized neuroscience applications, from motor rehabilitation to neuroergonomics. Traditional implantable BCIs with invasive microelectr…