Wireless Implantable and Wearable Intelligent Biosensor Devices

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%.


Manuel Delgado Restituto >


  • Biomedical Circuits and Systems
  • Neuro-Engineering
  • Low-Noise Sensor Readout
  • Low-Power Wireless Interfaces
  • Telemetry Systems
  • Energy Harvesting

Research Highlights

R. Fiorelli, M. Delgado-Restituto and Á. Rodríguez-Vázquez, "Charge-Redistribution Based Quadratic Operators for Neural Feature Extraction", IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 3, pp. 606-619, 2020  »  doi

J. L. Valtierra, M. Delgado-Restituto, R. Fiorelli and Á. Rodríguez-Vázquez, "A Sub-µW Reconfigurable Front-End for Invasive Neural Recording that Exploits the Spectral Characteristics of the Wideband Neural Signal", IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 5, pp. 1426-1437, 2020  »  doi

R. Fiorelli, M. Delgado-Restituto and Á. Rodríguez-Vázquez, "Offset-Calibration with Time-Domain Comparators using Inversion-Mode Varactors", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 1, pp. 47-51, 2020  »  doi

M. Delgado-Restituto, J. B. Romaine and Á. Rodríguez-Vázquez, "Phase Synchronization Operator for On-Chip Brain Functional Connectivity Computation", IEEE Transactions on Biomedical Circuits and Systems, vol. 13, no. 5, pp. 957-970, 2019  »  doi

M. Delgado-Restituto, A. Rodríguez-Pérez, A. Darie, C. Soto-Sánchez, E. Fernández-Jover and Á. 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

MIRABRAS: Millimeter-sized Implant with embedded Responsive Artificial intelligence for Brain disorder Assistance (PID2019-110410RB-I00)
PI: Manuel Delgado Restituto
Funding Body: Min. de Ciencia, Innovación y Universidades
Jan 2020 - Dec 2022

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

CLEPSYDRA: Towards a Closed-Loop Epileptogenic Prediction SYstem based on sub-Dural Recording Arrays (TEC2012-33634)
PI: Manuel Delgado Restituto
Funding Body: Min. de Economía y Competitividad
Jan 2013 - Dec 2015

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

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

All Research Areas & Lines