{"ID":2875160,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.04528","arxiv_id":"2509.04528","title":"HEEPidermis: a versatile SoC for BioZ recording","abstract":"Biological impedance (BioZ) is an information-packed modality that allows for non-invasive monitoring of health and emotional state. Currently, most research involving tissue impedance is based on bulky or fixed-purpose hardware, which limits the scope of research and the possibilities of experiments. In this work, we present HEEPidermis: a System-on-Chip (SoC) which integrates all the blocks needed for tissue impedance measurement, including two 8-bit, arbitrary-signal current DACs, two VCO-based ADCs, and a RISC-V CPU to enable on-chip feature extraction for closed-loop operation. An event-based sub-sampler improves storage and energy efficiency for long-term recording. In addition to the versatile SoC, the digital back-end and behavioral models of the analog front-end are open-source, allowing fast system-level simulations or repurposing. The SoC was taped out on TSMC 65 nm LP process.","short_abstract":"Biological impedance (BioZ) is an information-packed modality that allows for non-invasive monitoring of health and emotional state. Currently, most research involving tissue impedance is based on bulky or fixed-purpose hardware, which limits the scope of research and the possibilities of experiments. In this work, we...","url_abs":"https://arxiv.org/abs/2509.04528","url_pdf":"https://arxiv.org/pdf/2509.04528v2","authors":"[\"Juan Sapriza\",\"Beatrice Grassano\",\"Alessio Naclerio\",\"Filippo Quadri\",\"Tommaso Terzano\",\"David Mallasén\",\"Davide Schiavone\",\"Robin Leplae\",\"Jérémie Moullet\",\"Alexandre Levisse\",\"Christoph Müller\",\"Mariagrazia Graziano\",\"Matías Miguez\",\"David Atienza\"]","published":"2025-09-03T19:34:37Z","proceeding":"physics.ins-det","tasks":"[\"physics.ins-det\",\"cs.AR\",\"physics.med-ph\"]","methods":"[]","has_code":false}
