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Sensing Swelling: Towards Remote Monitoring of Craniectomy Patients
DanaKai Bradford1, Karl von Richter2, Ganesha Thayaparan3
1Australian eHealth Research Centre, CSIRO.
Studies in Health Technology and Informatics
|January 25, 2024
Summary
Remote monitoring of patients undergoing decompressive craniectomy (DC) and cranioplasty can improve outcomes. A smart device in a skullcap tracks brain swelling, aiding pre-operative reviews and enhancing neurorehabilitation.
Area of Science:
- Neurosurgery
- Biomedical Engineering
- Digital Health
Background:
- Decompressive craniectomy (DC) relieves brain swelling but requires a recovery period before cranioplasty.
- The interval between DC and cranioplasty presents a risk for complications, including infection, seizures, and death.
- Current remote monitoring capabilities for patients in this critical transition phase are limited.
Purpose of the Study:
- To develop a platform for remote patient monitoring to optimize pre-operative reviews.
- To reduce complication rates associated with the interval between decompressive craniectomy and cranioplasty.
- To improve neurorehabilitation outcomes through continuous patient data collection.
Main Methods:
- Development of a platform technology featuring a 'smart' device integrated into a skullcap.
- The device measures key physiological parameters, including changes indicative of brain swelling.
- Implementation of a clinician portal for remote viewing and analysis of patient physiological data.
Main Results:
- The developed platform enables continuous, remote monitoring of patients post-decompressive craniectomy.
- Physiological data, such as brain swelling indicators, can be tracked during the pre-cranioplasty recovery phase.
- The system facilitates timely clinical assessment and intervention, potentially mitigating risks.
Conclusions:
- Remote patient monitoring using smart device technology can significantly enhance care during the decompressive craniectomy to cranioplasty interval.
- Utilizing patient-generated data can lead to improved neurorehabilitation outcomes.
- This technology offers a novel approach to managing patients transitioning between major neurosurgical procedures.

