Andrea Bontempi

ORCID: 0000-0003-2503-8833
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About
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Research Areas
  • Wireless Power Transfer Systems
  • Wireless Body Area Networks
  • Energy Harvesting in Wireless Networks
  • Engineering Applied Research
  • Advanced Memory and Neural Computing
  • Analog and Mixed-Signal Circuit Design
  • Internet of Things and Social Network Interactions
  • Energy and Environmental Systems
  • Neuroscience and Neural Engineering

Polytechnic University of Turin
2022-2024

Personal Protective Equipment (PPE) is crucial in safeguarding against workplace hazards. However, incidents still occur due to improper PPE usage.With the rise of Industry 4.0 and increasing industrial automation, efforts aim develop systems for real-time monitoring PPE.We have developed a proof-of-concept wireless-powered smart that integrates commercial off-the-shelf electronics with PPE. The consists power harvesting system, an Ultra-High Frequency Radio-Frequency Identification (UHF...

10.1109/access.2024.3408915 article EN cc-by-nc-nd IEEE Access 2024-01-01

Active Implantable Medical Devices (AIMDs) have seen a significant increase in popularity recent years due to their ability provide continuous therapy unobtrusively. One of the key challenges developing next generation AIMDs is design safe and reliable Wireless Power Transfer (WPT) system. Standard commercial WPT components are not optimized deliver small amounts power or work with other than air gaps. We developed near-field resonant inductive coupling system closed-loop real-time control,...

10.1109/jsen.2023.3270521 article EN cc-by-nc-nd IEEE Sensors Journal 2023-05-03

Near-field resonant inductive coupling is the most mature wireless power transfer (WPT) method for implantable medical devices. Common commercial WPT components are not optimized neither to deliver small amounts of nor work with other than air gaps. In this paper, a closed-loop control integrated off-the-shelf efficiently recharge and an device controlled active drug delivery. The system keeps transmitted stable reliable, achieving 26 % efficiency delivered tens milliwatts, guaranteeing...

10.1109/sensors52175.2022.9967268 article EN IEEE Sensors 2022-10-30

Traditional analog front-ends for biomedical signal acquisitions operate at very low frequencies (Hz-range) and are severely affected by flicker environmental noise, which degrade the quality of low-frequency signals, thereby reducing signal-to-noise ratio (SNR). While offering advantages, increasingly common use microelectrodes poses challenges due to their high impedance, is comparable one front-end, thus creating additional difficulties in acquisition. To tackle in-vitro biosignal...

10.1109/lsens.2024.3430493 article EN cc-by-nc-nd IEEE Sensors Letters 2024-07-18
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