Non-Invasive Monitoring of Cerebral Edema Using Ultrasonic Echo Signal Features and Machine Learning
Our proposed strategy classifies cerebral edema and predicts the cerebral infarction volume ratio with satisfactory precision. The fusion of ultrasound echo features with machine learning presents a promising non-invasive approach for the monitoring of cerebral edema.
Authors
- Yufeng Zhou (ORCID: https://orcid.org/0000-0003-4086-2150)
- Shuang Yang (ORCID: https://orcid.org/0000-0001-7952-1340)
- Yuanbo Yang
Institutions
- National Medical Products Administration (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Brain Sciences
- Published
- 2024-11-23
- DOI
- https://doi.org/10.3390/brainsci14121175
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00