Abstract: FR-OR047
DialySense: A Magnetic Induction Spectroscopy Sensor for Contactless Remote Peritonitis Detection in Peritoneal Dialysis
Session Information
- Home Dialysis and Peritoneal Dialysis: Featured Research
October 23, 2026 | Location: Mile High Ballroom 1A, Convention Center
Abstract Time: 04:40 PM - 04:50 PM
Category: Dialysis
- 802 Dialysis: Home Dialysis and Peritoneal Dialysis
Author
- Al-Akash, Ibrahim Samhar, Rice University, Houston, Texas, United States
Group or Team Name
- DialySense
Background
Peritoneal dialysis (PD) is underutilized, serving only 10% of ESRD patients. Peritonitis affects 26% of PD patients annually, with 67% of episodes requiring hospitalization. Early detection reduces hospitalization risk by >60%, yet visual effluent inspection remains a subjective, insensitive standard. There is a critical need for objective, real-time monitoring to improve patient outcomes.
Methods
A non-contact MIS sensor, DialySense, was characterized across 144 samples in a residential environment. As shown in Figure 1, the system uses transmit (Tx) and receive (Rx) coils to induce eddy currents (J) and detect field modulations (B2) from cellular influx within standard PD tubing. Performance was validated using saline characterization and a Random Forest (RF) classifier to distinguish ionic waste from cellular debris.
Results
The system demonstrated a 70dB hardware SNR, maintaining an operational signal-to-noise ratio of >41dB (signal is 117x higher than baseline noise) during biological sensing and 99.4%-99.7% precision for ionic shifts. Selectivity ratios reached 14:1 for ionic changes over dextrose. As shown in Table 1, DialySense achieved 96% sensitivity and 91% accuracy, outperforming the optical baseline and reducing diagnostic errors by 33%. The system remained resilient to residential electromagnetic interference.
Conclusion
MIS-based monitoring provides a robust, non-invasive solution for early peritonitis detection. Its high selectivity and noise resilience support earlier intervention and improved outcomes for home PD patients, particularly in high-risk populations.
Comparative Performance Metrics (DialySense vs. Optical)
| Metric | DialySense MIS Sensor | Optical Baseline Sensor |
| Accuracy | 91% | 85% |
| Sensitivity | 96% | 88% |
| Specificity | 80% | 80% |
Figure 1. DialySense MIS detection mechanism.