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Research Units » Analog and Mixed-Signal Microelectronics » Wireless Implantable and Wearable Intelligent Biosensor Devices

Wireless Implantable and Wearable Intelligent Biosensor Devices

Contact:

Manuel Delgado Restituto

mandelimse-cnmcsices

Keywords: biomedical circuits and systems; neuro-engineering; low-noise sensor readout; low-power wireless interfaces; telemetry systems; energy harvesting

Description
Research on bioengineering including integrated sensing/read-out circuitry for the detection and recording of neural signals, wearable electronic devices for healthcare monitoring, and efficient wireless interfaces for intelligent medical devices (IMD). The common denominator to these research lines is the need to achieve high precision, low-noise analog read-out and very low power dissipation, in order to enable solutions which can be powered through small-capacity batteries and/or harvesting techniques.
Different activities are being developed in this area:
  • Definition of enabling technologies for the integration and miniaturization of biomimetic systems, which can be used for building neurocortical implants suitable for scientific (to allow new advances in neuroscience), clinical (to provide neuroprosthesis for the treatment of neurological diseases), and translational application (to pave the way for brain-machine interfaces) issues.
  • Development of novel neurological data processing algorithms, including data compression, artifact suppression and seizure prediction processors, suitable for closed-loop therapeutic systems for refractory epilepsy and movement disorder diseases.
  • Implementation of wireless sensor nodes (WSN) to quantify the impairments of the neuromuscular function and movement observed in Parkinson disease patients including means of surface electromyography (EMG) or kinematic measurements.
  • Fabrication of passive radio-frequency identification (RFID) biomedical sensor tags, including mechanisms for remotely powering, suitable for the acquisition and conditioning of biomedical signals such as body temperature, blood glucose level or ECG information.
  • Design of standard-compliant transceivers for wireless body area network (WBAN) applications, including novel architectures and circuit techniques for phase domain modulation.
More details can be found in www2.imse-cnm.csic.es/~mandel/
Fully implantable multichannel cortical neural recording system and experimental verification in vivo with animal model
Ultra-low power transceiver for Bluetooth Low Energy (BLE). The receiver (Rx) skips any active RF stage and it is implemented as a passive front-end. It achieves a sensitivity of -81.4 dBm and consumes less than 1.1 mW. The transmitter employs direct modulation and an efficient class-E power amplifier (PA) to deliver 1.6 dBm output power to the antenna with a total efficiency of 24.5%
Research Highlights
J.A. Rodriguez-Rodriguez, M. Delgado-Restituto, J. Masuch, A. Rodriguez-Perez, E. Alarcon and A. Rodriguez-Vazquez, "An Ultralow-Power Mixed-Signal Back-end for Passive Sensor UHF RFID Transponders", IEEE Transactions on Industrial Electronics, vol. 59, pp. 1310-1322, 2012 » doi
A. Rodriguez-Perez, J. Ruiz-Amaya, M. Delgado-Restituto and A. Rodriguez-Vazquez, "A Low-Power Programmable Neural Spike Detection Channel with Embedded Calibration and Data Compression", IEEE Transactions on Biomedical Circuits and Systems, vol. 6, no. 2, pp. 87-100, 2012 » doi
J. Masuch and M. Delgado-Restituto, "A 1.1-mW-RX -81.4 dBm Sensitivity CMOS Transceiver for Bluetooth Low Energy", IEEE Transactions on Microwave Theory and Techniques, vol. 61, no. 4, pp. 1660-1673, 2013 » doi
A. Rodríguez-Pérez, M. Delgado-Restituto and F. Medeiro, "A 515nW, 0-18 dB Programmable Gain Analog-to-Digital Converter for In-Channel Neural Recording Interfaces", IEEE Transactions on Biomedical Circuits and Systems, vol. 8, no. 3, pp. 358-370, 2014 » doi
M. Delgado-Restituto, A. Rodríguez-Pérez, A. Darie, C. Soto-Sanchez, E. Fernández-Jover and A. Rodríguez-Vázquez, "System-level design of a 64-channel low power neural spike recording sensor", IEEE Transactions on Biomedical Circuits and Systems, vol. 11, no. 2, pp. 420-433, 2017 » doi
Key Research Projects & Contracts
BIO-TAG: Monolithic Implementation of Passive RFID Transponders for Biomedical Applications (TIC-02818)
PI: Manuel Delgado Restituto
Funding Body: Junta de Andalucía
Dec 2007 - Dec 2011
POWDERS: Ultra-Low Power Wireless Motes for the Remote Sensing of Biomedical Signals (TEC2009-08447)
PI: Manuel Delgado Restituto
Funding Body: Min. de Ciencia e Innovación
Jan 2010 - Dec 2012
CLEPSYDRA: Towards a Closed-Loop Epileptogenic Prediction SYstem based on sub-Dural Recording Arrays (TEC2012-33634) » web
PI: Manuel Delgado Restituto
Funding Body: Min. de Economía y Competitividad
Jan 2013 - Dec 2015
IPANEMA: Integrated Pattern-Adaptive optical NEurostimulator with Multi-site recording Array (TEC2016-80923-P)
PI: Manuel Delgado Restituto
Funding Body: Min. de Economía, Industria y Competitividad
Jan 2017 - Dec 2019