Evidence map›Paper›PMID 42590697›Full record

ArticleSensors (Basel, Switzerland)2026

Experimental Validation of a Compact and Versatile Bioimpedance Measurement Platform Based on the SENSIPLUS Chip.

Lorenzo Giannini, Rita Asquini, Alessio Buzzin, Simone Contardi, Paolo Bruschi, Emanuele Piuzzi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lorenzo GianniniDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0009-0001-4567-7192
Rita AsquiniDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-2898-9047
Alessio BuzzinInterdisciplinary Department of Wellbeing, Health and Environmental Sustainability, Sapienza University of Rome, 02100 Rieti, Italy.ORCID 0000-0002-8071-5406
Simone ContardiSensichips s.r.l., 04011 Aprilia, Italy.
Paolo BruschiDepartment of Information Engineering, University of Pisa, 56100 Pisa, Italy.ORCID 0000-0003-2073-1073
Emanuele PiuzziDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-3822-139X

Funding

European Union GA101057524
6 · The paper itself

Abstract

The growing demand for wearable and Internet of Medical Things (IoMT) devices is driving the development of compact, low-power platforms for continuous physiological monitoring. Bioimpedance analysis represents a versatile non-invasive technique for the assessment of tissue properties, body composition, and respiratory dynamics. This work presents a comprehensive experimental validation of a compact bioimpedance measurement platform based on the SENSIPLUS chip, a CMOS sensor interface integrating a frequency-programmable lock-in amplifier for Electrochemical Impedance Spectroscopy in the 10 kHz-1 MHz range. The platform was validated at three complementary levels: (i) electrical characterization on Debye tissue-equivalent circuits using a three-point bilinear calibration, with analysis of the electrode-skin contribution and repeatability assessment; (ii) in vivo multi-frequency bioimpedance spectroscopy (BIS) with Cole-Cole model fitting and hook-effect correction; and (iii) single-frequency thoracic impedance plethysmography for respiratory monitoring. Results were compared against an Agilent E4980A precision Inductance (L), Capacitance (C), and Resistance (R) meter and a calibrated spirometer. The presented device achieved a maximum resistance error below 5.7% and reactance deviation under 6 Ω across the investigated frequency range, Cole-Cole parameters consistent with reference values, and strong linear correlation (R2=0.97) between thoracic impedance variations and tidal volume, with respiratory rate estimation errors below 2% across the ten sessions, specifically 1.43% during normal breathing and 1.96% during deep breathing. These results demonstrate that the SENSIPLUS-based platform achieves metrological performance compatible with the requirements of wearable IoMT applications, here demonstrated in a single-subject proof-of-concept study, while relying for all critical analog functions on a compact (1.5×1.5) mm

Indexed as

Biosensing TechniquesElectric ImpedanceDielectric SpectroscopyElectrodesHumansMonitoring, PhysiologicWearable Electronic DevicesbioimpedanceInternet of Medical Thingsphysiological monitoringtelemedicinewearable sensors

Identifiers

PMID42590697
PMCPMC13469861

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.