Recent advancements in medical technology have led to personalized and proactive healthcare. Telemedicine has revolutionized patient-physician communication, allowing for remote consultations and diagnostics. Bioimpedance-based analysis has emerged as a versatile diagnostic methodology for continuous monitoring of several physiological conditions of the human body. This paper investigates the suitability of the SENSIPLUS chip, developed by Sensichips s.r.l., for analyzing body composition. The microchip is engineered to serve as a versatile device, incorporating a high-precision LCR meter tailored for low-noise impedance assessments up to 2.5 MHz. It is utilized for measuring body impedance at frequencies spanning from 10 kHz to 1 MHz, employing adhesive electrodes arranged in a tetrapolar configuration. The presented work demonstrates the feasibility of the device for non-invasive body composition quantification in a volunteer candidate. The measurements are fitted using the Cole-Cole model, which establishes the primary parameters for estimating characteristics of the human body. Moreover, an extensive analysis of measurement repeatability illustrates consistency and reliability, thereby enhancing the credibility of the chip in bioimpedance measurements. This study is a promising advancement in integrating the SENSIPLUS chip into healthcare devices. The chip serves as a highly accurate bioimpedance sensor in the field of telemedicine and of Internet of Medical Things (IoMT) applications.

Investigation of the SENSIPLUS chip for bioimpedance spectroscopy applications / Giannini, Lorenzo; Asquini, Rita; Contardi, Simone; Nannipieri, Iacopo; Piuzzi, Emanuele. - (2024). (Intervento presentato al convegno 2024 IEEE International Symposium on Medical Measurements and Applications - MeMeA 2024 tenutosi a Eindhoven; The Netherlands) [10.1109/MeMeA60663.2024.10596897].

Investigation of the SENSIPLUS chip for bioimpedance spectroscopy applications

Lorenzo Giannini;Rita Asquini;Emanuele Piuzzi
2024

Abstract

Recent advancements in medical technology have led to personalized and proactive healthcare. Telemedicine has revolutionized patient-physician communication, allowing for remote consultations and diagnostics. Bioimpedance-based analysis has emerged as a versatile diagnostic methodology for continuous monitoring of several physiological conditions of the human body. This paper investigates the suitability of the SENSIPLUS chip, developed by Sensichips s.r.l., for analyzing body composition. The microchip is engineered to serve as a versatile device, incorporating a high-precision LCR meter tailored for low-noise impedance assessments up to 2.5 MHz. It is utilized for measuring body impedance at frequencies spanning from 10 kHz to 1 MHz, employing adhesive electrodes arranged in a tetrapolar configuration. The presented work demonstrates the feasibility of the device for non-invasive body composition quantification in a volunteer candidate. The measurements are fitted using the Cole-Cole model, which establishes the primary parameters for estimating characteristics of the human body. Moreover, an extensive analysis of measurement repeatability illustrates consistency and reliability, thereby enhancing the credibility of the chip in bioimpedance measurements. This study is a promising advancement in integrating the SENSIPLUS chip into healthcare devices. The chip serves as a highly accurate bioimpedance sensor in the field of telemedicine and of Internet of Medical Things (IoMT) applications.
2024
2024 IEEE International Symposium on Medical Measurements and Applications - MeMeA 2024
bioimpedance; smart healthcare; sensors; IoMT; telemedicine
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Investigation of the SENSIPLUS chip for bioimpedance spectroscopy applications / Giannini, Lorenzo; Asquini, Rita; Contardi, Simone; Nannipieri, Iacopo; Piuzzi, Emanuele. - (2024). (Intervento presentato al convegno 2024 IEEE International Symposium on Medical Measurements and Applications - MeMeA 2024 tenutosi a Eindhoven; The Netherlands) [10.1109/MeMeA60663.2024.10596897].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1716553
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