MEMS-Based Ultrasonic Energy Harvesting Platform Enabling Sustained In Vivo Operation of Implantable Microdevices
Tian, X.; Spyrou, A.; Iordanidis, T. N.; Stemme, G.; Roxhed, N.
Show abstract
Implantable microdevices capable of autonomous operation over extended lifetimes are promising enablers for minimally invasive diagnostics and therapy. Microelectromechanical systems (MEMS)-based piezoelectric ultrasonic energy harvesters (PUEH) have emerged as a compelling approach for powering implantable microdevices, where both miniaturization and efficient wireless energy transfer are essential. Here, we present a highly miniaturized (5 x 5 x 5 mm3) ultrasonic energy-harvesting platform enabling sustained in vivo operation of implantable microdevices. The platform integrates a MEMS-PUEH, a high-efficiency power management system, an energy storage element, and representative functional electronics. We first investigate the effect of backside cavity boundary conditions on MEMS-PUEH performance and show that a sealed air-filled chamber significantly outperforms an open water-filled cavity, yielding a 46% increase in root-mean-square output voltage and a 117% increase in average output power across a 2 k{Omega} resistive load under identical incident acoustic intensity at the respective optimal operating frequencies. We then demonstrate system-level integration and characterization. In a tissue-mimicking phantom, under an incident acoustic intensity of approximately 257 mW/cm2, the device charges an 11.5 mF supercapacitor, a 5 {micro}Ah solid-state microbattery, and a 100 {micro}F capacitor to their nominal voltages in less than 5 min, 3 min, and 20 s, respectively. Finally, in vivo validation demonstrates fully autonomous operation of representative functional electronics following ultrasonic charging of the onboard energy storage element. These results establish a highly miniaturized and fully integrated ultrasonic energy-harvesting platform that advances MEMS-based power solutions for implantable biomedical microdevices.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multifunctional Materials Strategies for Enhanced Safety of Wireless, Skin-Interfaced Bioelectronic Devices 95%
- Stretchable Composite Acoustic Transducer for Wearable Monitoring of Vital Signs 94%
- Potential of Photoelectric Stimulation with Ultrasmall Carbon Electrode on Neural Tissue: New Directions in Neuromodulation Technology Development 94%
Similar papers in this journal
- A Wide-bandwidth Nanocomposite-Sensor Integrated Smart Mask for Tracking Multi-phase Respiratory Activities for COVID-19 Endemic 95%
- Stiffness-tunable neurotentacles for minimally invasive implantation and long-term neural activity recordings 94%
- Single-use, Metabolite Absorbing, Resonant Transducer (SMART) culture vessels for label-free, continuous cell culture progression monitoring 94%
Similar papers in this journal
- Bioinspired Stretchable Transducer for Wearable Continuous Monitoring of Respiratory Patterns in Humans and Animals 94%
- 3D Bioelectronics with a Remodellable Matrix for Long-term Tissue Integration and Recording 94%
- Wearable Photonic Device for Multiple Biomarker Sampling and Detection Without Blood Draws 93%
Similar papers in this journal
- Transparent and stretchable metal nanowire composite recording microelectrode arrays 95%
- Remote-Controlled Wireless Bioelectronics for Fluoxetine Therapy to Promote Wound Healing in a Porcine Model 94%
- Generation and Culture of Cardiac Microtissues in a Microfluidic Chip with a Reversible Open Top Enables Electrical Pacing, Dynamic Drug Dosing and Endothelial Cell Co-Culture 92%
Similar papers in this journal
- Fully Desktop Fabricated Flexible Graphene Electrocorticography (ECoG) Arrays 95%
- Automated assembly of high-density carbon fiber electrode arrays for single unit electrophysiological recordings 93%
- Intracortical probe arrays with silicon backbone and microelectrodes on thin polyimide wings enable long-term stable recordings in vivo 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.