An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method
| Autor: | Shigeto Abe, Yukiya Hakozaki, Takemi Matsui, Guanghao Sun |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Microbiology (medical) medicine.medical_specialty Microwave radar Fever Oxygen saturation Vital signs Biosensing Techniques Sensitivity and Specificity Radar systems Article Seasonal influenza Japan Respiratory Rate Heart Rate Internal medicine Influenza Human Heart rate Humans Medicine Oximetry Mass screening Aged Radar medicine.diagnostic_test Artificial neural network business.industry Middle Aged Influenza Surgery Pulse oximetry Infectious Diseases Thermography Infectious disease (medical specialty) Female Neural Networks Computer business |
| Zdroj: | The Journal of Infection |
| ISSN: | 0163-4453 |
| Popis: | Summary Objectives To classify higher-risk influenza patients within 10 s, we developed an infectious disease and fever screening radar system. Methods The system screens infected patients based on vital signs, i.e., respiration rate measured by a radar, heart rate by a finger-tip photo-reflector, and facial temperature by a thermography. The system segregates subjects into higher-risk influenza (HR-I) group, lower-risk influenza (LR-I) group, and non-influenza (Non-I) group using a neural network and fuzzy clustering method (FCM). We conducted influenza screening for 35 seasonal influenza patients and 48 normal control subjects at the Japan Self-Defense Force Central Hospital. Pulse oximetry oxygen saturation (SpO2) was measured as a reference. Results The system classified 17 subjects into HR-I group, 26 into LR-I group, and 40 into Non-I group. Ten out of the 17 HR-I subjects indicated SpO2 Graphical abstract Highlights • A novel infectious disease/fever screening radar system stratifies higher-risk patients within ten seconds. • Use of an optimal neural network and the fuzzy clustering method to classify multiple-dimensional vital signs data. • The system can be used for preventing secondary exposure of physicians during outbreaks of infectious disease. • The system has potential to serve as a helpful tool for rapid mass screening of infectious disease. |
| Databáze: | OpenAIRE |
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