CN106886673A - 一种以气体辨识达肺炎感染与菌种疾病分析功能的呼吸器 - Google Patents
一种以气体辨识达肺炎感染与菌种疾病分析功能的呼吸器 Download PDFInfo
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- CN106886673A CN106886673A CN201610168062.2A CN201610168062A CN106886673A CN 106886673 A CN106886673 A CN 106886673A CN 201610168062 A CN201610168062 A CN 201610168062A CN 106886673 A CN106886673 A CN 106886673A
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- Immunology (AREA)
Abstract
一种利用气体辨识而具肺炎感染与肺炎菌种疾病分析功能的呼吸器，包含有一感测器阵列、一感测器电路、一随机类神经网络芯片、一记忆体及一微控器，该感测器阵列检测多个待测气体并产生对应该待测气体的多个识别信号，该感测器电路读取并分析该识别信号，以产生对应该待测气体的多个气体图案信号，该随机类神经网络芯片降低该气体图案信号的维度，以产生一分析结果，该记忆体是储存一气体训练数据，该微控器是接收该分析结果，并根据该分析结果来辨识该多个待测气体的种类。
Description
技术领域
本发明涉及一种利用气体辨识而具肺炎感染与肺炎菌种疾病分析功能的呼吸器，尤其涉及一种具有即时且准确地检测气体种类的具肺炎感染与肺炎菌种疾病分析功能的呼吸器。
背景技术
呼吸器是供无法自主呼吸的病患使用并维持生命迹象，而常见于医院的重症病房及急诊室。
如中国台湾新型专利公告第M437177号，提出一种可显示悬浮粒浓度准位的呼吸器，包含有一机壳，以及一设于该机壳内的过滤件，该机壳具有一入口及一出口，空气是自该入口进入该机壳并在受该过滤件滤除悬浮粒后自该出口排出；该可显示悬浮粒浓度准位的呼吸器的特征在于更包含有：一悬浮粒浓度感测器，是设于该机壳内并位于该过滤件与该出口之间；以及一显示单元，是与该悬浮粒浓度感测器电性连接，用以显示该悬浮粒浓度感测器所感测到的悬浮粒浓度准位；藉此，该显示单元可让使用者得知该呼吸器所提供的空气的品质，以于较适当的时机更换或清洗该呼吸器的过滤件。
于以上现有技术之中，仅单纯提供重症病患正常呼吸并维持生命，然而，在治疗过程中的重症病患抵抗力较差，因此呼吸道及肺部受到感染进而引发并发症的机率大幅提高，一但感染就必须通过漫长的检测时间，例如照X光、抽血或抽痰并进一步的化验才可得知病患是受何种细菌感染，而这漫长的化验时间往往使病患的性命受到威胁。
发明内容
本发明的主要目的，在于解决现有现有呼吸器仅单纯提供重症病患正常呼吸并维持生命，而在治疗过程中一但受到感染就必须通过漫长的检测时间才可得知病患是受何种细菌感染而造成病患的性命受到威胁的问题。
为达上述目的，本发明提供一种利用气体辨识而具肺炎感染与肺炎菌种疾病分析功能的呼吸器，包含有一感测器阵列、一感测器电路、一随机类神经网络芯片、一记忆体及一微控器，该感测器阵列包含有一基板、一设置于该基板上的加热层、一设置于该加热层上的绝缘层以及多个排列且设置于该绝缘层上的检测单元，该检测单元分别包括至少一检测电极、一围绕该检测电极的阻隔部以及一反应感测膜，该检测电极包括一第一电极及一第二电极，该第一电极包括一第一条状电极以及一自该第一条状电极延伸的第一指状电极，该第二电极包括一第二条状电极以及一自该第二条状电极延伸的第二指状电极，该第一指状电极和该第二指状电极彼此交替排列，该反应感测膜设置于该阻隔部内的一容置空间并和该检测电极接触，其中该反应感测膜和多个待测气体接触而进行一电化学反应，使该检测电极产生对应该待测气体的多个识别信号；该感测器电路，是读取并分析该识别信号，以产生对应该待测气体的多个气体图案信号；该随机类神经网络芯片，是放大该气体图案信号之间的差异，并降低该气体图案信号的维度，以产生一分析结果；该记忆体，是储存一气体训练数据；该微控器，是接收该分析结果，并根据该分析结果执行一混合气体辨识演算法来辨识该多个待测气体的种类，且将不存在于该气体训练数据的一未知气体分类，再根据该气体训练数据产生一辨识结果。
由以上可知，本发明相较于现有技艺可达到的功效在于，利用本发明得到的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，由于是利用气体辨识而具备肺炎感染与肺炎菌种疾病分析功能，因此不仅可提供病患呼吸功能亦可提早检测病人的呼吸道及肺部是因何种细菌感染而引发并发症，并即时且准确地针对病征来治疗并且降低并发症对病患的威胁性。
以下结合附图和具体实施例对本发明进行详细描述，但不作为对本发明的限定。
附图说明
图1，为本发明一实施例的呼吸器示意图；
图2，为本发明一实施例的方框示意图；
图3，为本发明一实施例中，感测器阵列的俯视示意图；
图4，为图3的A-A方向剖面示意图；
图5，为本发明一实施例中，检测电极的示意图。
具体实施方式
涉及本发明的详细说明及技术内容，现就配合附图说明如下：
请搭配参阅图1及图2所示，分别为本发明一实施例的呼吸器示意图及本发明一实施例的方框示意图，本发明为一种利用气体辨识而具肺炎感染与肺炎菌种疾病分析功能的呼吸器1，包含有一感测器阵列10、一感测器电路20、一随机类神经网络芯片30、一记忆体40及一微控器50。请续搭配参阅图3及图4所示，分别为本发明一实施例的感测器阵列俯视示意图及图3的A-A方向剖面示意图，该感测器阵列10包含有一基板11、一加热层12、一绝缘层13及多个排列的检测单元14，该加热层12设置于该基板11上，该基板11的材料可为玻璃、铟锡氧化物或聚对苯二甲酸乙二酯(PolyethyleneTerephthalate，简称PET)。该加热层12的材料是选用可加热至一高于室温的温度者，于本发明的一实施例中，该加热层12的材料可为铟锡氧化物，且较佳地接受一电流而加热至一介于30℃至70℃之间的温度。该绝缘层13设置于该加热层12上，其中该绝缘层13的材料可为聚对苯二甲酸乙二酯。
该检测单元14设置于该绝缘层13上，且呈一阵列或一图案排列，于本实施例中，该检测单元14可采8×4的阵列排列，彼此间较佳地相距100μm。该检测单元14包括至少一检测电极141、一阻隔部142以及一反应感测膜143，该反应感测膜143的材料可为羧甲基纤维素铵(CMC-NH4)、聚苯乙烯(Polystyrene，简称PS)、聚乙烯己二酸(Poly(ethylene adipate))、聚氧化乙烯(Poly(ethylene Oxide)，简称PEO)、聚己内酯(Polycaprolactone)、聚乙二醇(PEG)、聚乙烯芐基氯(Poly(vinylbenzyl chloride)，简称PVBC)、甲基乙烯基醚-马来酸交替型共聚物(Poly(methyl vinyl ether-alt-maleicacide))、乙烯基苯酚-甲基丙烯酸甲酯共聚物(Poly(4-vinylphenol-co-methyl methacrylate))、乙基纤维素(Ethylcellulose，简称EC)、偏氯乙烯-丙烯腈共聚物(Poly(vinylidenechloride-co-acrylonitrile)，简称PVdcAN)、聚环氧氯丙烷(Polyepichlorohydrin，简称PECH)、聚乙烯亚胺(Polyethyleneimine)、胜肽((Beta-Amyloid(1-40))、人体半乳糖凝集(Human galectin-1或Humanalbumin)、苯乙烯-烯丙醇共聚物(Styrene/Allyl alcohol copolymer，简称SAA)、乙烯-醋酸乙烯酯共聚物(Poly(ethylene-co-vinyl acetate))、聚异丁烯(Polyisobutylene，简称PIB)、丙烯腈-丁二烯共聚物Poly(acrylonitrile-co-butadiene)、聚(4-乙烯嘧啶)(Poly(4-vinylpyridine)、羟丙甲纤维素(Hydroxypropyl methylcellulose)、聚异戊二烯(Polyisoprene)、聚α甲基苯乙烯(Poly(alpha-methylstyrene))、3-氯-1,2-环氧丙烷-氧化乙烯共聚物(Poly(epichlorohydrin-co-ethylene oxide))、聚乙烯缩丁醛(Poly(vinylbutyral-co-vinyl alcohol-vinyl acetate))、聚苯乙烯(Polystyrene，简称PS)、木质素磺酸盐(Lignin)、脂肽(Acylpeptide)、聚丙酸(Poly(vinylproplonate))、聚乙烯吡咯烷酮(Poly(vinylpyrrolidone)，简称PVP)、二聚酸-烷基多胺共聚物(Poly(dimer acid-co-alkyl polyamine))、聚(4-乙基苯酚)(Poly(4-vinylphenol)、聚羟乙基丙烯酸甲酯(Poly(2-hydroxyethylmethacrylate))、氯乙烯-乙酸乙烯酯共聚物(Poly(vinyl chloride-co-vinylacetate))、三醋酸纤维素(Cellulose triacetate)、聚(乙烯硬脂酸酯)Poly(viny stearate)、聚双酚A碳酸酯(Poly(bisphenol A carbonate)，简称PC)、聚偏二氟乙烯(Poly(vinylidene fluoride)，简称PVDF)或其组合。于本实施例中，该检测电极141在每个该检测单元14中的数量可为4个，彼此间较佳地相距30μm，如此一来，该检测电极141的数量可达128个，但可配合使用需求会有不同的数量，不以本实施例的举例为限。
请续搭配参阅图5所示，该检测电极141包括一第一电极1411及一第二电极1412，该第一电极1411包括一第一条状电极1411a及一第一指状电极1411b，该第二电极1412包括一第二条状电极1412a及一第二指状电极1412b，该第一条状电极1411a与该第二条状电极1412a沿一第一轴向延伸且平行设置，该第一指状电极1411b沿一第二轴向自该第一条状电极1411a朝该第二条状电极1412a延伸，该第二指状电极1412b沿该第二轴向自该第二条状电极1412a朝该第一条状电极1411a延伸，该第一指状电极1411b与该第二指状电极1412b呈平行且彼此交替排列设置。该第一轴向和该第二轴向相异，而于本实施例中，该第一轴向和该第二轴向彼此垂直。此外，其中该检测电极141的材料可选自为铟锡氧化物、铜、镍、铬、铁、钨、磷、钴或及银或上述组合。该阻隔部142包括多个远离该绝缘层13且向上延伸的阻隔壁1421，该阻隔壁1421围绕该检测电极141而形成一容置空间1422。该反应感测膜143设置于该阻隔部142内的该容置空间1422并和该检测电极141接触。实际应用时，该反应感测膜143和多个待测气体接触而进行一电化学反应，使该检测电极141产生多个对应该待测气体的识别信号。
该感测器电路20是读取并分析该识别信号，以产生对应该待测气体的多个气体图案信号201。其中，该感测器阵列10可藉由整个阵列对于混合气体的集体反应，并经由该感测器电路20来产生对应于该待测气体的多个该气体图案信号201。该随机类神经网络芯片30是放大多个该气体图案信号201之间的差异，并降低多个该气体图案信号201的维度，以产生一分析结果301。
另外，该随机类神经网络芯片30可利用智能型演算法，撷取信号的主要特征，进而提供一个比原始信号维度低的输出，以减低后端系统的运算量。该记忆体40是储存一气体训练数据401，该气体训练数据401包含导致各种并发症的各种细菌所产生的气体数据及其它可能出现的气体数据。该微控器50是接收该分析结果301，并根据该分析结果301执行一混合气体辨识演算法501来辨识该多个待测气体的种类，且将不存在于该气体训练数据401的一未知气体分类，再根据该气体训练数据401产生一辨识结果502。
进一步来说，当该微控制器50检测到不存在于该气体训练数据401的该未知气体时，会自动将该未知气体分类，并且将对应该未知气体的一未知气体数据传送至该感测器电路20、该随机类神经网络芯片30及该记忆体40。这样一来，该感测器电路20则可根据该未知气体数据进行辨识，该随机类神经网络芯片30也可以根据该未知气体数据重新训练，而该记忆体40亦可根据该未知气体数据增加另一该气体训练数据。
由以上可知，本发明相较于现有技艺可达到的功效在于，利用本发明得到的该具备气体辨识芯片的呼吸器，由于具备气体辨识芯片，因此不仅可提供病患呼吸功能亦可提早检测病人的呼吸道及肺部是否因感染而引发并发症，并即时且准确地针对病征来治疗。
当然，本发明还可有其它多种实施例，在不背离本发明精神及其实质的情况下，熟悉本领域的技术人员当可根据本发明作出各种相应的改变和变形，但这些相应的改变和变形都应属于本发明所附的权利要求的保护范围。
Claims (10)
1.一种利用气体辨识而具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，包含有：
一感测器阵列，包含有一基板、一设置于该基板上的加热层、一设置于该加热层上的绝缘层以及多个排列且设置于该绝缘层上的检测单元，该检测单元分别包括至少一检测电极、一围绕该检测电极的阻隔部以及一反应感测膜，该检测电极包括一第一电极及一第二电极，该第一电极包括一第一条状电极以及一自该第一条状电极延伸的第一指状电极，该第二电极包括一第二条状电极以及一自该第二条状电极延伸的第二指状电极，该第一指状电极和该第二指状电极彼此交替排列，该反应感测膜设置于该阻隔部内的一容置空间并和该检测电极接触，其中该反应感测膜和多个待测气体接触而进行一电化学反应，使该检测电极产生对应该待测气体的多个识别信号；
一感测器电路，是读取并分析该识别信号，以产生对应该待测气体的多个气体图案信号；
一随机类神经网络芯片，是放大该气体图案信号之间的差异，并降低该气体图案信号的维度，以产生一分析结果；
一记忆体，是储存一气体训练数据；以及
一微控器，是接收该分析结果，并根据该分析结果执行一混合气体辨识演算法来辨识该多个待测气体的种类，且将不存在于该气体训练数据的一未知气体分类，再根据该气体训练数据产生一辨识结果。
2.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该微控制器若检测到不存在于该气体训练数据的该未知气体时，会将对应该未知气体的一未知气体数据传送至该感测器电路、该随机类神经网络芯片及该记忆体，该感测器电路是根据该未知气体数据进行辨识，该随机类神经网络芯片是根据该未知气体数据重新训练，该记忆体是根据该未知气体数据增加另一该气体训练数据。
3.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该基板的材料择自于玻璃、铟锡氧化物及聚对苯二甲酸乙二酯所组成的群组。
4.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该加热层接受一电流而加热至一介于30℃至70℃之间的温度。
5.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该加热层的材料为铟锡氧化物。
6.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该绝缘层的材料为聚对苯二甲酸乙二酯。
7.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该检测电极的材料择自于铟锡氧化物、铜、镍、铬、铁、钨、磷、钴及银所组成的群组。
8.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该阻隔部包括多个远离该绝缘层而向上延伸的阻隔壁，该阻隔壁围绕出该容置空间。
9.根据权利要求1所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该检测电极的该第一条状电极与该第二条状电极沿一第一轴向延伸且平行设置，该第一指状电极沿一与该第一轴向相异的第二轴向自该第一条状电极朝该第二条状电极延伸，该第二指状电极沿该第二轴向自该第二条状电极朝该第一条状电极延伸，该第一指状电极与该第二指状电极呈平行排列设置。
10.根据权利要求9所述的具肺炎感染与肺炎菌种疾病分析功能的呼吸器，其特征在于，该第一轴向和该第二轴向彼此垂直设置。
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW104141669 | 2015-12-11 | ||
| TW104141669A TWI565945B (zh) | 2015-12-11 | 2015-12-11 | 一種利用氣體辨識而具肺炎感染與肺炎菌種疾病分析功能的呼吸器 |
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| JP (1) | JP6392811B2 (zh) |
| CN (1) | CN106886673A (zh) |
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| TW (1) | TWI565945B (zh) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113509168A (zh) * | 2020-04-09 | 2021-10-19 | 伊诺司生技股份有限公司 | 肺炎检测装置 |
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| WO2021111435A1 (en) * | 2019-12-01 | 2021-06-10 | Nanoscent Ltd. | Use of a chemiresistor sensor for improving health |
| US11793968B2 (en) | 2020-04-10 | 2023-10-24 | Jerome Canady Research Institute for Advanced Biological and Technological Sciences | Method for treatment of respiratory infections and cancers of the respiratory system using cold atmospheric plasma |
| WO2021206771A1 (en) | 2020-04-10 | 2021-10-14 | Jerome Canady Research Institute for Advanced Biological and Technological Sciences | System and method for treatment of respiratory infections and lung cancer with cold atmospheric plasma |
| JP2023545337A (ja) | 2020-04-10 | 2023-10-30 | ジェローム カナディ リサーチ インスティチュート フォー アドバンスト バイオロジカル アンド テクノロジカル サイエンシズ | 寒冷大気圧プラズマを用いた呼吸器感染および肺がんの処置のためのシステムおよび方法 |
| LU101785B1 (en) | 2020-05-08 | 2021-11-08 | Jerome Canady Research Institute For Advanced Biological And Tech Sciences | System for treatment of respiratory infections and lung cancer with cold atmospheric plasma |
| KR102289600B1 (ko) * | 2020-09-14 | 2021-08-13 | 재단법인 구미전자정보기술원 | 탄소 나노 벽에 기초한 호기 내의 물질 검출하는 센서 및 방법 |
| TWI777833B (zh) * | 2021-10-29 | 2022-09-11 | 長庚醫療財團法人林口長庚紀念醫院 | 慢性腎臟病預測方法及系統 |
| TWI812135B (zh) * | 2022-03-30 | 2023-08-11 | 正修學校財團法人正修科技大學 | 肺炎遠端檢測系統及其方法 |
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| Publication number | Publication date |
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| TW201721139A (zh) | 2017-06-16 |
| TWI565945B (zh) | 2017-01-11 |
| JP2017104487A (ja) | 2017-06-15 |
| JP6392811B2 (ja) | 2018-09-19 |
| DE102016106188A1 (de) | 2017-06-14 |
| US20170164873A1 (en) | 2017-06-15 |
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