tetano
Editor, Senior Moderator
J Infect. 2014 Dec 22. pii: S0163-4453(14)00378-8. doi: 10.1016/j.jinf.2014.12.007. [Epub ahead of print]
[h=1]An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method.[/h] Sun G[SUP]1[/SUP], Matsui T[SUP]2[/SUP], Hakozaki Y[SUP]3[/SUP], Abe S[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVES:[/h] To classify higher-risk influenza patients within 10 seconds, we developed an infectious disease and fever screening radar system.
[h=4]METHODS:[/h] 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 (SpO[SUB]2[/SUB]) was measured as a reference.
[h=4]RESULTS:[/h] 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 SpO[SUB]2[/SUB] < 96%, whereas only two out of the 26 LR-I subjects showed SpO[SUB]2[/SUB] < 96%. The chi-squared test revealed a significant difference in the ratio of subjects showed SpO[SUB]2[/SUB] < 96% between HR-I and LR-I group (p<0.001). There were zero and nine normal control subjects in HR-I and LR-I groups, respectively, and there was one influenza patient in Non-I group.
[h=4]CONCLUSIONS:[/h] The combination of neural network and FCM achieved efficient detection of higher-risk influenza patients who indicated SpO[SUB]2[/SUB] < 96% within 10 seconds.
Copyright ? 2014. Published by Elsevier Ltd.
[h=4]KEYWORDS:[/h] Mass screening; influenza; microwave radar; oxygen saturation; thermography; vital signs
PMID: 25541528 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25541528
[h=1]An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method.[/h] Sun G[SUP]1[/SUP], Matsui T[SUP]2[/SUP], Hakozaki Y[SUP]3[/SUP], Abe S[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]OBJECTIVES:[/h] To classify higher-risk influenza patients within 10 seconds, we developed an infectious disease and fever screening radar system.
[h=4]METHODS:[/h] 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 (SpO[SUB]2[/SUB]) was measured as a reference.
[h=4]RESULTS:[/h] 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 SpO[SUB]2[/SUB] < 96%, whereas only two out of the 26 LR-I subjects showed SpO[SUB]2[/SUB] < 96%. The chi-squared test revealed a significant difference in the ratio of subjects showed SpO[SUB]2[/SUB] < 96% between HR-I and LR-I group (p<0.001). There were zero and nine normal control subjects in HR-I and LR-I groups, respectively, and there was one influenza patient in Non-I group.
[h=4]CONCLUSIONS:[/h] The combination of neural network and FCM achieved efficient detection of higher-risk influenza patients who indicated SpO[SUB]2[/SUB] < 96% within 10 seconds.
Copyright ? 2014. Published by Elsevier Ltd.
[h=4]KEYWORDS:[/h] Mass screening; influenza; microwave radar; oxygen saturation; thermography; vital signs
PMID: 25541528 [PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/25541528