In vivo tissue bioimpedance dataset

Area of Science:

• Biomedical Engineering
• Medical Devices
• Bioimpedance Analysis

Background:

• Electrical bioimpedance (EBI) is a non-invasive technique for assessing tissue properties.
• Accurate EBI measurements require comprehensive datasets across diverse biological tissues.
• Developing advanced medical technologies relies on robust EBI data for clinical decision support.

Purpose of the Study:

• To present a dataset of in vivo electrical bioimpedance measurements from multiple porcine tissues.
• To explore the potential of EBI data for autonomous tissue identification.
• To support the development of EBI-based medical technologies for diagnosis, treatment, and surgery.

Main Methods:

• Collected in vivo electrical bioimpedance data from muscle, kidney, liver, bladder, intestine, skin, subcutaneous tissue, stomach, tendon, spleen, peritoneum, and blood in Yorkshire pigs.
• Utilized a custom electrical impedance analyzer with monopolar and bipolar electrodes.
• Employed single fixed frequency and frequency scan sensing modalities.

Main Results:

• The dataset provides comprehensive EBI values for a wide array of biological tissues.
• Illustrative results demonstrate the feasibility of autonomous tissue identification using EBI.
• The data supports the potential for EBI in enhancing procedural precision and safety.

Conclusions:

• The presented dataset is a valuable resource for research in EBI-based medical technologies.
• EBI holds significant promise for real-time tissue characterization and surgical guidance.
• This work contributes to the advancement of intelligent medical systems and robotics.