A Batteryless 19 $\mu$W MICS/ISM-Band Energy Harvesting Body Sensor Node SoC for ExG Applications

By Yanqing Zhang, Fan Zhang, Y. Shakhsheer, J. Silver, Alicia Klinefelter, M. Nagaraju, James Boley, J. Pandey, A. Shrivastava, E. Carlson and 3 more. IEEE Journal of Solid-State Circuits, 2013

333 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/ce0c726c1f91ed86a254db2051196007401e59f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Sherali Zeadally

In Electrical and Electronic Engineering

1. Sherali Zeadally
2. Silviu Corneliu Folea
3. Tolga Soyata
4. Teodora Sanislav
5. George Dan Mois

Citations in the corpus

• A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective (2019, background): “Ambient energy harvesting proposals enable practical in-vivo sensors that no longer require a battery [29], [30].”
• Energy Harvesting Techniques for Internet of Things (IoT) (2021, background): “The work [84] presents an ultra-low power batteryless energy harvesting Body Sensor Node (BSN) capable of acquiring, processing, and transmitting ElectroCardioGram (ECG), ElectroMyoGram (EMG), and ElectroEncephaloGram (EEG) data.”