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Burton A, Wang Z, Song D, Tran S, Hanna J, Ahmad D, Bakall J, Clausen D, Anderson J, Peralta R, Sandepudi K, Benedetto A, Yang E, Basrai D, Miller LE, Tresch MC, Gutruf P. Fully implanted battery-free high power platform for chronic spinal and muscular functional electrical stimulation. Nat Commun 2023; 14:7887. [PMID: 38036552 PMCID: PMC10689769 DOI: 10.1038/s41467-023-43669-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/16/2023] [Indexed: 12/02/2023] Open
Abstract
Electrical stimulation of the neuromuscular system holds promise for both scientific and therapeutic biomedical applications. Supplying and maintaining the power necessary to drive stimulation chronically is a fundamental challenge in these applications, especially when high voltages or currents are required. Wireless systems, in which energy is supplied through near field power transfer, could eliminate complications caused by battery packs or external connections, but currently do not provide the harvested power and voltages required for applications such as muscle stimulation. Here, we introduce a passive resonator optimized power transfer design that overcomes these limitations, enabling voltage compliances of ± 20 V and power over 300 mW at device volumes of 0.2 cm2, thereby improving power transfer 500% over previous systems. We show that this improved performance enables multichannel, biphasic, current-controlled operation at clinically relevant voltage and current ranges with digital control and telemetry in freely behaving animals. Preliminary chronic results indicate that implanted devices remain operational over 6 weeks in both intact and spinal cord injured rats and are capable of producing fine control of spinal and muscle stimulation.
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Affiliation(s)
- Alex Burton
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Zhong Wang
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Dan Song
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Sam Tran
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Jessica Hanna
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Dhrubo Ahmad
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Jakob Bakall
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - David Clausen
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Jerry Anderson
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Roberto Peralta
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA
| | - Kirtana Sandepudi
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Alex Benedetto
- Interdepartmental Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Ethan Yang
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Diya Basrai
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
| | - Lee E Miller
- Department of Neuroscience, Northwestern University, Chicago, IL, 60611, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA
- Interdepartmental Neuroscience, Northwestern University, Chicago, IL, 60611, USA
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, 60611, USA
| | - Matthew C Tresch
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA.
- Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, 60611, USA.
- Shirley Ryan AbilityLab, Chicago, IL, 60611, USA.
| | - Philipp Gutruf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, 85721, USA.
- Bio5 Institute and Department of Neurology, University of Arizona, Tucson, AZ, 85721, USA.
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 85721, USA.
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Wireless Photometry Prototype for Tri-Color Excitation and Multi-Region Recording. MICROMACHINES 2022; 13:mi13050727. [PMID: 35630195 PMCID: PMC9145078 DOI: 10.3390/mi13050727] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 11/17/2022]
Abstract
Visualizing neuronal activation and neurotransmitter release by using fluorescent sensors is increasingly popular. The main drawback of contemporary multi-color or multi-region fiber photometry systems is the tethered structure that prevents the free movement of the animals. Although wireless photometry devices exist, a review of literature has shown that these devices can only optically stimulate or excite with a single wavelength simultaneously, and the lifetime of the battery is short. To tackle this limitation, we present a prototype for implementing a fully wireless photometry system with multi-color and multi-region functions. This paper introduces an integrated circuit (IC) prototype fabricated in TSMC 180 nm CMOS process technology. The prototype includes 3-channel optical excitation, 2-channel optical recording, wireless power transfer, and wireless data telemetry blocks. The recording front end has an average gain of 107 dB and consumes 620 μW of power. The light-emitting diode (LED) driver block provides a peak current of 20 mA for optical excitation. The rectifier, the core of the wireless power transmission, operates with 63% power conversion efficiency at 13.56 MHz and a maximum of 87% at 2 MHz. The system is validated in a laboratory bench test environment and compared with state-of-the-art technologies. The optical excitation and recording front end and the wireless power transfer circuit evaluated in this paper will form the basis for a future miniaturized final device with a shank that can be used in in vivo experiments.
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Barbruni GL, Ros PM, Demarchi D, Carrara S, Ghezzi D. Miniaturised Wireless Power Transfer Systems for Neurostimulation: A Review. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2020; 14:1160-1178. [PMID: 33201828 DOI: 10.1109/tbcas.2020.3038599] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
In neurostimulation, wireless power transfer is an efficient technology to overcome several limitations affecting medical devices currently used in clinical practice. Several methods were developed over the years for wireless power transfer. In this review article, we report and discuss the three most relevant methodologies for extremely miniaturised implantable neurostimulators: ultrasound coupling, inductive coupling and capacitive coupling. For each powering method, the discussion starts describing the physical working principle. In particular, we focus on the challenges given by the miniaturisation of the implanted integrated circuits and the related ad-hoc solutions for wireless power transfer. Then, we present recent developments and progresses in wireless power transfer for biomedical applications. Last, we compare each technique based on key performance indicators to highlight the most relevant and innovative solutions suitable for neurostimulation, with the gaze turned towards miniaturisation.
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