计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 128-133.

• 智能计算 • 上一篇    下一篇

基于嗅觉网络传输的重症疾病诊断机制与算法研究

李联宁   

  1. 西安交通大学城市学院 西安710018
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受西安交通大学城市学院第二轮科研项目基金(2013KZ07)资助

Study of Severe Disease Diagnosis Mechanism and Algorithm of Olfactory Based on Network Transmission

LI Lian-ning   

  • Online:2018-11-14 Published:2018-11-14

摘要: 目前在医学界普遍存在的一个问题是:许多重症疾病的患者到医院就医确诊时已进入疾病晚期,失去了在早期发现本可医疗治愈的机会,但同时也缺乏必要的手段对海量的潜在患者人群进行有效筛查。研究的目的是探索通过嗅觉网络传输并远距离诊断的模式,实现超大规模采集早期患者的呼出气味数据,达到重症疾病早期预警的效果。主要讨论使用基于智能手机平台的微机电系统(MEMS)构造的光谱吸收型光化学气体传感器,在使用者使用移动电话的同时获得呼出气体的特征光谱,将其发送至云计算网络中查询云存储气味数据库,使用BP算法进行光谱疾病特征码比对。对疾病特征码符合率超过一定比率的潜在患者进行短信报警、督促就医核查,以便早期发现重症疾病,提高医疗效果,降低病患死亡率。

Abstract: This paper mainly discussed the use of MEMS spectrum absorption photochemical gas sensor based on intelligent mobile phone platform.The characteristic spectrum of exhaled gas was obtained when the users use mobile phones,at the same time,it was sent to the cloud computing cloud storage odor database query in network,and BP algorithm was used for spectral features of disease code comparison.To these patients whose potential rate is more than a certain percentage the potential rate is more than a certain percentage,SMS alarm on disease characteristic code conforms to supervise the medical check.For early detection of severe disease,it can improve the medical effect,reduce the mortality of patients.

Key words: Olfactory,Gas sensor,Cloud computing,BP algorithm,Intelligent mobile phone,Severe disease,Diagnosis

[1] Gopel W,Schierbaum K.SnO2 sensors:Current status and future prospects [J].Sensors and Actuators B,1995,26:1-12
[2] Mielle P,et al.An alternative way to improve the sensitivity of electronic olfactometers[J].Sensors and Actuators B,1999,58:526-535
[3] Noll M G.Running Hadoop On Ubuntu Linux(Single-NodeCluster),August 5,2007.http://www.michael-noll.com/
[4] Piazza L,Benedetti S.Investigation on the rheological propertiesof agar gels and their role on aroma release in agar/limonene solidemulsions [J].Food Research International,2010,43:269-276
[5] 洪雪珍,王俊.基于逐步判别分析和 BP 神经网络的电子鼻猪肉储藏时间预测[J].传感技术学报,2010,23(10):376-380
[6] Hirano S H,Truong K N,Hayes G R.uSmell:a gas sensor system to classify odors in natural,uncontrolled environments,the 2012 ACM Conference on Ubiquitous Computing[C]∥ACM 2012 Article Poster Bibliometrics Data Bibliometrics,2012:657-658
[7] 李联宁.基于手机平台的嗅觉网络传输研究与探索[J].计算机科学,2013,4(6A):223-227
[8] Ki Sato.Prof.Shoji Takeuchi,Chemical Vapor Detection Using a Reconstituted Insect Olfactory Receptor Complext [J].Angewandte Chemie International Edition,2014,53(44):11798-11802

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