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Ilangko Balasingham
Researcher at Norwegian University of Science and Technology
Publications - 301
Citations - 5332
Ilangko Balasingham is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 34, co-authored 277 publications receiving 4189 citations. Previous affiliations of Ilangko Balasingham include University of Oslo & Rikshospitalet–Radiumhospitalet.
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Journal ArticleDOI
RF Channel Modeling for Implant-to-Implant Communication and Implant to Subcutaneous Implant Communication for Future Leadless Cardiac Pacemakers
TL;DR: In-body to in-body implant communication for future multinodal capsule-like leadless cardiac pacemaker technology using very detailed numerical simulations of digital human models shows that the abdominal wall is the optimal position for the placement of the implant compared to shoulder and lateral side of the body.
Proceedings ArticleDOI
An improved ultra wideband channel model including the frequency-dependent attenuation for in-body communications
TL;DR: A statistical model for UWB propagation channels inside the human chest in the 1-6 GHz frequency range is extended by including the frequency-dependent attenuation, and a mathematical expression for the spectrum shape of the distorted pulses that act as a window function to reproduce the effects of frequency- dependent attenuation is proposed.
Proceedings ArticleDOI
Cooperative Communications with Relay Selection for QoS Provisioning in Wireless Sensor Networks
TL;DR: Simulation results show that QoS-RSCC can achieve a near-optimal performance on both diversity gains and channel efficiency, and fits well in dynamic environments.
Proceedings ArticleDOI
Experimental ultra wideband path loss models for implant communications
Concepcion Garcia-Pardo,Alejandro Fornes-Leal,Narcis Cardona,Raul Chavez-Santiago,Jacob Bergsland,Ilangko Balasingham,Sverre Brovoll,Øyvind Aardal,Svein-Erik Hamran,Rafael Palomar +9 more
TL;DR: The correction factors are provided to adjust easy-to-perform phantom-based measurements to more realistic path loss values, which can assist the biomedical engineer in the early stages of design and testing of wireless implantable devices.
Journal ArticleDOI
Radio-frequency energy harvesting for wearable sensors.
Luís M. Borges,Raul Chavez-Santiago,Raul Chavez-Santiago,Norberto Barroca,Fernando J. Velez,Ilangko Balasingham,Ilangko Balasingham +6 more
TL;DR: The state-of-the-art in RF EH for wearable biomedical sensors specifically targeting the global system of mobile 900/1800 cellular and 700 MHz digital terrestrial television networks as ambient RF energy sources are showcased and guidelines for the choice of the number of stages for the RF energy harvester are presented.