A telesurveillance system with automatic electrocardiogram interpretation based on support vector machine and rule-based processing.
Te-Wei HoChen-Wei HuangChing-Miao LinFeipei LaiJian-Jiun DingYi-Lwun HoChi-Sheng HungPublished in: JMIR medical informatics (2015)
Through connected telehealth care devices, the telesurveillance system, and the automatic ECG interpretation system, this mechanism was intentionally designed for continuous decision-making support and is reliable enough to reduce the need for face-to-face diagnosis. With this value-added service, the system could widely assist physicians and other health professionals with decision making in clinical practice. The system will be very helpful for the patient who suffers from cardiac disease, but for whom it is inconvenient to go to the hospital very often.
Keyphrases
- deep learning
- healthcare
- clinical practice
- decision making
- machine learning
- primary care
- mental health
- palliative care
- case report
- left ventricular
- heart rate variability
- quality improvement
- heart rate
- heart failure
- neural network
- pain management
- affordable care act
- acute care
- blood pressure
- atrial fibrillation
- drug induced