JP6392811B2 - 気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器 - Google Patents
気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器 Download PDFInfo
- Publication number
- JP6392811B2 JP6392811B2 JP2016124236A JP2016124236A JP6392811B2 JP 6392811 B2 JP6392811 B2 JP 6392811B2 JP 2016124236 A JP2016124236 A JP 2016124236A JP 2016124236 A JP2016124236 A JP 2016124236A JP 6392811 B2 JP6392811 B2 JP 6392811B2
- Authority
- JP
- Japan
- Prior art keywords
- gas
- electrode
- identification
- ventilator
- pneumoniae
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/082—Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/021—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes operated by electrical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/04—Arrangements of multiple sensors of the same type
- A61B2562/046—Arrangements of multiple sensors of the same type in a matrix array
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/02—General characteristics of the apparatus characterised by a particular materials
- A61M2205/0272—Electro-active or magneto-active materials
- A61M2205/0277—Chemo-active materials
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/33—Controlling, regulating or measuring
- A61M2205/3368—Temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/36—General characteristics of the apparatus related to heating or cooling
- A61M2205/3653—General characteristics of the apparatus related to heating or cooling by Joule effect, i.e. electric resistance
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2230/00—Measuring parameters of the user
- A61M2230/40—Respiratory characteristics
- A61M2230/43—Composition of exhalation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/08—Feature extraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Artificial Intelligence (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Physiology (AREA)
- Biophysics (AREA)
- Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Pulmonology (AREA)
- Data Mining & Analysis (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Evolutionary Computation (AREA)
- Theoretical Computer Science (AREA)
- Hematology (AREA)
- Anesthesiology (AREA)
- Emergency Medicine (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Biochemistry (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Databases & Information Systems (AREA)
- Immunology (AREA)
Description
10 センサアレイ
11 基板
12 加熱層
13 絶縁層
14 検出ユニット
141 検出電極
1411 第一電極
1411a 第一帯状電極
1411b 第一指状電極
1412 第二電極
1412a 第二帯状電極
1412b 第二指状電極
142 仕切り部
1421 仕切り壁
1422 収容空間
143 反応感知フィルム
20 センサ回路
201 気体パターン信号
30 確率的ニューラルネットワークチップ
301 分析結果
40 メモリ
401 気体トレーニングデータ
50 マイクロコントローラ
501 混合気体識別アルゴリズム
502 識別結果
Claims (10)
- 基板と、前記基板上に設置する加熱層と、前記加熱層上に設置する絶縁層と、前記絶縁層上に配列するように設置する複数の検出ユニットとを包含し、前記検出ユニットは、少なくとも一つの検出電極と、前記検出電極を囲繞する仕切り部と、反応感知フィルムと、からなり、前記検出電極は、第一帯状電極と前記第一帯状電極から延在する第一指状電極とを包括する第一電極と、第二帯状電極と前記第二帯状電極から延在する第二指状電極とを包括する第二電極と、を包括し、且つ前記第一指状電極と前記第二指状電極とが交互に配列し合い、前記反応感知フィルムは、前記仕切り部内にある収容空間に設置し且つ前記検出電極と接触し、さらに、各前記検出ユニットにある前記検出電極及び前記反応感知フィルムが複数の被検気体と接触した後、すべての前記検出ユニットは電気化学反応を行うことで、複数の識別信号を発生させるセンサアレイと、
前記識別信号を読み取って分析することで、前記被検気体に対応する複数の気体パターン信号を発生するセンサ回路と、
前記気体パターン信号同士の差異を拡大し、前記気体パターン信号の次元を低減することで、分析結果を発生する確率的ニューラルネットワークチップと、
気体トレーニングデータを保存するメモリと、
前記分析結果を受け、前記分析結果に基づいて混合気体識別アルゴリズムを実行し、前記複数の被検気体の種類を識別し、且つ前記気体トレーニングデータに存在しない未知の気体を分類し、さらに前記気体トレーニングデータに基づいて識別結果を発生するマイクロコントローラと、
を包含することを特徴とする、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。 - 前記マイクロコントローラが前記気体トレーニングデータに存在しない未知の気体を検出した場合、前記未知の気体に対応する未知の気体データを前記センサ回路、前記確率的ニューラルネットワークチップ及び前記メモリに伝送し、前記センサ回路は、前記未知の気体データに基づいて識別を行い、前記確率的ニューラルネットワークチップも、前記未知の気体データに基づいて再訓練し、前記メモリもまた、前記未知の気体データに基づいて新たな前記気体トレーニングデータを追加することを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記基板の材料は、ガラス、酸化インジウムスズ及びポリエチレンテレフタレートからなる群のいずれかであることを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記加熱層は、電流を受け入れて30℃から70℃の間に介する温度まで加熱することを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記加熱層の材料は、酸化インジウムスズであることを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記絶縁層の材料は、ポリエチレンテレフタレートであることを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記検出電極の材料は、インジウムスズ酸化物、銅、ニッケル、クロム、鉄、タングステン、リン、コバルト及び銀からなる群のいずれかであることを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記仕切り部は、前記絶縁層から離れ且つ上に向かって延在する複数の仕切り壁を包括し、前記仕切り壁は、収容空間を囲繞することを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記検出電極の前記第一帯状電極及び前記第二帯状電極は、第一軸方向に沿って延在し且つ平行に設置し、前記第一指状電極は、前記第一軸方向と異なる第二軸方向に沿って前記第一帯状電極から前記第二帯状電極に向かって延在し、前記第二指状電極は、前記第二軸方向に沿って前記第二帯状電極から前記第一帯状電極に向かって延在し、前記第一指状電極及び前記第二指状電極は、平行を呈して配列するように設置することを特徴とする請求項1に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
- 前記第一軸方向と前記第二軸方向とは、互いに垂直となるように設置することを特徴とする請求項9に記載の、気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器。
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 |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2017104487A JP2017104487A (ja) | 2017-06-15 |
JP6392811B2 true JP6392811B2 (ja) | 2018-09-19 |
Family
ID=58408092
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2016124236A Active JP6392811B2 (ja) | 2015-12-11 | 2016-06-23 | 気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器 |
Country Status (5)
Country | Link |
---|---|
US (1) | US20170164873A1 (ja) |
JP (1) | JP6392811B2 (ja) |
CN (1) | CN106886673A (ja) |
DE (1) | DE102016106188A1 (ja) |
TW (1) | TWI565945B (ja) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021111435A1 (en) * | 2019-12-01 | 2021-06-10 | Nanoscent Ltd. | Use of a chemiresistor sensor for improving health |
TWI772776B (zh) * | 2020-04-09 | 2022-08-01 | 美商艾諾斯股份有限公司 | 肺炎偵測裝置 |
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 |
Family Cites Families (29)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4847783A (en) * | 1987-05-27 | 1989-07-11 | Richard Grace | Gas sensing instrument |
EP1169640B1 (en) * | 1999-03-09 | 2005-06-15 | Osmetech PLC | Method for detecting conditions by analysis of aqueous condensate from respiratory gases |
JP2000258376A (ja) * | 1999-03-10 | 2000-09-22 | Kubota Corp | マイクロヒータ及びマイクロヒータの作製方法 |
JP4513161B2 (ja) * | 2000-03-31 | 2010-07-28 | 東亞合成株式会社 | ガスセンサの製造方法及びガスセンサ |
JP2002071612A (ja) * | 2000-09-05 | 2002-03-12 | Tdk Corp | 湿度センサ |
US6981947B2 (en) * | 2002-01-22 | 2006-01-03 | University Of Florida Research Foundation, Inc. | Method and apparatus for monitoring respiratory gases during anesthesia |
US20020100697A1 (en) * | 2000-12-19 | 2002-08-01 | Quinn David B. | Gas sensor with uniform heating and method of making same |
JP4215510B2 (ja) * | 2001-02-21 | 2009-01-28 | エンブラパ−エンプレサ・ブラジレイラ・ジ・ペスキザ・アグロペクリア | 広域選択性による混合物の分析のためのセンサーおよびセンサーシステムにおける前記センサーの使用 |
US20050150778A1 (en) * | 2002-11-18 | 2005-07-14 | Lewis Nathan S. | Use of basic polymers in carbon black composite vapor detectors to obtain enhanced sensitivity and classification performance for volatile fatty acids |
US7241477B2 (en) * | 2003-07-21 | 2007-07-10 | Delphi Technologies, Inc. | Methods of treating electrodes and gas sensors comprising the electrodes |
TW587165B (en) * | 2003-08-27 | 2004-05-11 | Ind Tech Res Inst | Gas sensor and the manufacturing method thereof |
JP4450598B2 (ja) * | 2003-10-02 | 2010-04-14 | 北陸電気工業株式会社 | 湿度センサ及びその製造方法 |
US7763208B2 (en) * | 2003-11-12 | 2010-07-27 | E.I. Du Pont De Nemours And Company | System and method for sensing and analyzing gases |
EP1579882A1 (en) | 2004-03-26 | 2005-09-28 | Stephan Dr. Böhm | Non-invasive method and apparatus for optimizing the respiration for atelectatic lungs |
JP2005291886A (ja) * | 2004-03-31 | 2005-10-20 | Tdk Corp | 湿度センサ素子の製造方法及び湿度センサ素子 |
US7311794B2 (en) * | 2004-05-28 | 2007-12-25 | Wafergen, Inc. | Methods of sealing micro wells |
JP2007033416A (ja) * | 2005-07-29 | 2007-02-08 | Yokohama National Univ | プロトン受容型ガスセンサーの駆動方法、ガス検出方法、及びプロトン受容型ガスセンサー装置 |
KR100799577B1 (ko) * | 2006-08-31 | 2008-01-30 | 한국전자통신연구원 | 가스 및 생화학물질 감지용 센서 제조 방법과 그 센서를포함하는 집적회로 및 그 제조 방법 |
JP4925835B2 (ja) * | 2007-01-12 | 2012-05-09 | 日東電工株式会社 | 物質検知センサ |
CN100520385C (zh) * | 2007-04-27 | 2009-07-29 | 电子科技大学 | 聚苯胺/纳米氧化物复合薄膜微气体传感器阵列的制备方法 |
FR2936604B1 (fr) * | 2008-09-29 | 2010-11-05 | Commissariat Energie Atomique | Capteurs chimiques a base de nanotubes de carbone, procede de preparation et utilisations |
US8551571B2 (en) * | 2011-11-10 | 2013-10-08 | Chung-Shan Institute of Science and Technology, Armaments Bureau, Dept. of National Defense | Method for making a conductive polymer composite for detecting a sort of gas |
TWI458464B (zh) * | 2012-02-01 | 2014-11-01 | Nat Univ Tsing Hua | 可早期偵測及辨識肺炎種類之呼吸器、其氣體辨識晶片、及其氣體辨識方法 |
CN102604827B (zh) * | 2012-03-31 | 2014-01-29 | 中国科学院上海微系统与信息技术研究所 | 非接触式电导法实现pcr反应过程的实时检测系统和方法 |
AU2013300137A1 (en) * | 2012-05-10 | 2015-01-15 | The Regents Of The University Of California | Wearable electrochemical sensors |
TWM437177U (en) | 2012-05-14 | 2012-09-11 | Sls Medical Technology Corp Ltd | Respirator capable of displaying suspension particle concentration level |
EP2762880B1 (en) * | 2013-01-31 | 2017-03-15 | Sensirion AG | Portable electronic device with breath analyzer |
US9816954B2 (en) * | 2014-01-31 | 2017-11-14 | Stmicroelectronics S.R.L. | Sensor of volatile substances and process for manufacturing a sensor of volatile substances |
CN203786076U (zh) * | 2014-04-24 | 2014-08-20 | 西安科技大学 | 差动电容式甲烷浓度传感结构 |
-
2015
- 2015-12-11 TW TW104141669A patent/TWI565945B/zh not_active IP Right Cessation
-
2016
- 2016-03-23 CN CN201610168062.2A patent/CN106886673A/zh active Pending
- 2016-04-05 DE DE102016106188.3A patent/DE102016106188A1/de active Pending
- 2016-04-12 US US15/096,760 patent/US20170164873A1/en not_active Abandoned
- 2016-06-23 JP JP2016124236A patent/JP6392811B2/ja active Active
Also Published As
Publication number | Publication date |
---|---|
TW201721139A (zh) | 2017-06-16 |
TWI565945B (zh) | 2017-01-11 |
JP2017104487A (ja) | 2017-06-15 |
DE102016106188A1 (de) | 2017-06-14 |
CN106886673A (zh) | 2017-06-23 |
US20170164873A1 (en) | 2017-06-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6392811B2 (ja) | 気体識別を利用し且つ肺炎感染及び肺炎菌種の疾患分析機能を有する人工呼吸器 | |
CN103245778B (zh) | 可辨识肺炎种类的呼吸器及其辨识芯片及其辨识方法 | |
US20210181178A1 (en) | Low cost test strip and method to measure analyte | |
Silvestri et al. | A bronchial genomic classifier for the diagnostic evaluation of lung cancer | |
Zaas et al. | A host-based RT-PCR gene expression signature to identify acute respiratory viral infection | |
Berna et al. | Reproducible breath metabolite changes in children with SARS-CoV-2 infection | |
Sonawane et al. | Microbiome-transcriptome interactions related to severity of respiratory syncytial virus infection | |
CN109715067A (zh) | 使用批量可校准测试条测量分析物的方法和系统 | |
Han et al. | A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease | |
Rodríguez-Aguilar et al. | Comparative analysis of chemical breath-prints through olfactory technology for the discrimination between SARS-CoV-2 infected patients and controls | |
EP3370175A1 (en) | Method for providing a wearable device, method for predicting an acute exacerbation and system for predicting an acute exacerbation | |
Philley et al. | Microbiome diversity in sputum of nontuberculous mycobacteria infected women with a history of breast cancer | |
US11045111B1 (en) | Real time breath analyzer for detecting volatile organic compounds and identifying diseases or disorders | |
Teck et al. | Prevalence, risk factors and clinical characteristics of respiratory syncytial virus–associated lower respiratory tract infections in Kelantan, Malaysia | |
Wingfield et al. | A metagenomic hybrid classifier for paediatric inflammatory bowel disease | |
Bhonde et al. | Predictive analytics to combat with COVID-19 using genome sequencing | |
Yu et al. | A nomogram for predicting delayed viral shedding in non-severe SARS-CoV-2 Omicron infection | |
CN114970772A (zh) | 用于肺部疾病检测的模型训练方法、设备、装置和介质 | |
Patel et al. | Five-item odorant test as an indicator of COVID-19 infection in a general population | |
Rani et al. | Role of machine learning and random forest in accuracy enhancement during asthma prediction | |
Kalaycı et al. | Can laboratory parameters be an alternative to CT and RT‐PCR in the diagnosis of COVID‐19? A machine learning approach | |
Tang et al. | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy | |
CN110975431A (zh) | 一种实验室空气质量安全信息装置 | |
Chourasiya et al. | Environment-Based Asthma Trigger Detection (ATD) | |
Chen et al. | Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20170418 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20170714 |
|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20171205 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20180227 |
|
TRDD | Decision of grant or rejection written | ||
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20180807 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20180823 |
|
R150 | Certificate of patent or registration of utility model |
Ref document number: 6392811 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |