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MySIGN is a new wearable device for multiparametric remote monitoring developed by the Interdepartmental Centre for Industrial Research (CIRI) of the University of Bologna. The aim of this study is to assess the feasibility of data collection through MySIGN and the characterization of the signals and data recorded through the device. Healthy volunteers were asked to wear MySIGN and perform three tasks: Rest (R), Deep breathing test (DB), and a six-minute walking test (6MWT). During each task, the following parameters were collected via MySIGN: absolute bioimpedance value (BioZ), bioimpedance variation ($\mathrm{\Delta }$BioZ), respiratory rate, heart rate, ECG QT interval, blood oxygen saturation, and temperature. Fifteen volunteers were enrolled (nine females (60%), mean age $35.8\pm 9.3$ years). The parameters collected by the device were successfully recorded during the three tasks. BioZ values neither varied among the three tasks nor by stratifying the population according to age, whereas BioZ values were higher for subjects with a body mass index (BMI) $>23$kg/m². $\mathrm{\Delta }$BioZ remained unchanged regardless of the task, age, and BMI. MySIGN allows effective multiparametric data collection. The $\mathrm{\Delta }$BioZ might be a good value for estimating lung congestion because it is less influenced by other variables.