This article presents an improved system for spatial vectorcardiography, designed for clinical use. The system aims to balance theoretical soundness, accuracy, reproducibility, signal-to-noise ratio, and speed. It offers advantages over existing systems, such as a rational physical basis, corrections for torso shape, reduced sensitivity to individual variability in ventricle location, and accuracy comparable to 3D torso-model data. The system uses seven electrodes, with specific placements to achieve accurate and orthogonal dipole components. The article details the electrode positions, practical procedures, and technical methods involved. It discusses the theoretical basis, including the use of three orthogonal image vectors and corrections for errors related to torso shape and dipole location. The system's performance is validated through experiments with 3D torso models and clinical data, showing improved accuracy and reduced errors compared to traditional methods. The article also highlights the practical considerations, such as electrode placement, skin preparation, and the use of computing networks. It concludes that the system provides a significant improvement in quantitative analysis of electrocardiographic potentials, although its clinical impact remains to be fully demonstrated. The system's advantages include its accuracy, reduced sensitivity to dipole location, and practicality for clinical settings.This article presents an improved system for spatial vectorcardiography, designed for clinical use. The system aims to balance theoretical soundness, accuracy, reproducibility, signal-to-noise ratio, and speed. It offers advantages over existing systems, such as a rational physical basis, corrections for torso shape, reduced sensitivity to individual variability in ventricle location, and accuracy comparable to 3D torso-model data. The system uses seven electrodes, with specific placements to achieve accurate and orthogonal dipole components. The article details the electrode positions, practical procedures, and technical methods involved. It discusses the theoretical basis, including the use of three orthogonal image vectors and corrections for errors related to torso shape and dipole location. The system's performance is validated through experiments with 3D torso models and clinical data, showing improved accuracy and reduced errors compared to traditional methods. The article also highlights the practical considerations, such as electrode placement, skin preparation, and the use of computing networks. It concludes that the system provides a significant improvement in quantitative analysis of electrocardiographic potentials, although its clinical impact remains to be fully demonstrated. The system's advantages include its accuracy, reduced sensitivity to dipole location, and practicality for clinical settings.