JP6811773B2 - フォトプレチスモグラム(ppg)信号品質を定量化する方法 - Google Patents
フォトプレチスモグラム(ppg)信号品質を定量化する方法 Download PDFInfo
- Publication number
- JP6811773B2 JP6811773B2 JP2018524322A JP2018524322A JP6811773B2 JP 6811773 B2 JP6811773 B2 JP 6811773B2 JP 2018524322 A JP2018524322 A JP 2018524322A JP 2018524322 A JP2018524322 A JP 2018524322A JP 6811773 B2 JP6811773 B2 JP 6811773B2
- Authority
- JP
- Japan
- Prior art keywords
- ppg
- waveform
- signal
- heart rate
- peak
- 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
- 238000000034 method Methods 0.000 claims description 21
- 238000013441 quality evaluation Methods 0.000 claims description 14
- 238000009826 distribution Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 6
- 101710129069 Serine/threonine-protein phosphatase 5 Proteins 0.000 claims description 4
- 101710199542 Serine/threonine-protein phosphatase T Proteins 0.000 claims description 4
- 229920000470 poly(p-phenylene terephthalate) polymer Polymers 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 238000007626 photothermal therapy Methods 0.000 claims 2
- 229920002215 polytrimethylene terephthalate Polymers 0.000 claims 2
- 239000008280 blood Substances 0.000 description 5
- 210000004369 blood Anatomy 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 3
- 238000012800 visualization Methods 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 235000016068 Berberis vulgaris Nutrition 0.000 description 2
- 241000335053 Beta vulgaris Species 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 230000036772 blood pressure Effects 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 238000006213 oxygenation reaction Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000031700 light absorption Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000013442 quality metrics Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Images
Classifications
-
- 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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
- A61B5/7207—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal of noise induced by motion artifacts
-
- 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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
- A61B5/02116—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave amplitude
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
- A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
- A61B5/14552—Details of sensors specially adapted therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/35—Detecting specific parameters of the electrocardiograph cycle by template matching
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
- A61B5/349—Detecting specific parameters of the electrocardiograph cycle
- A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
-
- 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
- A61B5/7221—Determining signal validity, reliability or quality
-
- 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
- A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
-
- 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
-
- 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
- G06F2218/10—Feature extraction by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
-
- 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
- G06F2218/14—Classification; Matching by matching peak patterns
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Cardiology (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Physiology (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Vascular Medicine (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Optics & Photonics (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Description
Claims (15)
- クリーンフォトプレチスモグラフPPG信号のセグメントを自動的に検出し、ノイジーPPG信号セグメントを拒絶することを容易にするシステムであって、
患者のフィルタリングされていないPPG信号及び心電図信号ECGを同時に記録する患者モニタと、
前記患者モニタから前記フィルタリングされていないPPG信号及び同時のECG信号を入力として受信し、前記同時に測定されたECG信号を用いて前記PPG信号における複数の心拍の各々をセグメント化するビート識別モジュールと、
前記PPG信号における各心拍に関する特徴のセットを抽出するPPG特徴抽出モジュールであって、前記特徴が、1つ又は複数の波形振幅及び1つ又は複数のパルス通過時間PPTを含む、PPG特徴抽出モジュールと、
前記抽出された特徴を評価し、各PPG心拍波形をクリーン又はノイジーとして分類する信号品質評価モジュールと、
ユーザに提示するために、識別されたクリーンなPPG心拍波形を含むPPG信号統計情報をディスプレイに出力するプロセッサとを有し、
前記波形振幅が、ピーク振幅及びピーク勾配振幅を含み、
前記信号品質評価モジュールが、各PPG心拍波形に対して、前記心拍波形のピーク振幅が前記心拍波形のピーク勾配における振幅よりも大きくない場合、前記PPG心拍波形をノイジーとして分類する、システム。 - 前記ビート識別モジュールが更に、各ECG心拍波形におけるRピークを識別し、前記同時に捕捉されたPPG信号における対応するPPG心拍波形を連続するRピークの各ペアの間で識別する、請求項1に記載のシステム。
- 前記PPG特徴抽出モジュールが更に、各PPG心拍波形に関するPPG信号特徴を抽出し、前記特徴が、
ピーク足振幅;
ピークパルス通過時間PTTp;
足パルス通過時間PTTf;及び
勾配パルス通過時間PTTsを含む、請求項1に記載のシステム。 - 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、前記心拍波形のピーク振幅が非数値である場合、前記PPG心拍波形をノイジーとして分類する、請求項1乃至3のいずれかに記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、前記心拍波形のピーク振幅が前記心拍波形の足における振幅よりも大きくない場合、前記PPG心拍波形をノイジーとして分類する、請求項3又は4に記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、前記心拍波形の足における振幅が前記心拍波形のピーク勾配における振幅より小さくない場合、前記PPG心拍波形をノイジーとして分類する、請求項3乃至5のいずれかに記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、前記心拍波形の足が前記心拍波形のピーク勾配の前に発生する場合、又は前記心拍波形のピーク勾配が前記波形ピークが発生する前に発生する場合、前記PPG心拍波形をノイジーとして分類する、請求項3乃至6のいずれかに記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、1つの心拍波形において複数のピークが検出される場合、前記PPG心拍波形をノイジーとして分類する、請求項3乃至7のいずれかに記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、
前記PPG波形の抽出された特徴毎の確率分布を算出し、
前記確率分布に関する上限閾値と下限閾値とを規定し、
前記抽出された特徴のうちの1つ又は複数が前記上限又は下限の外の値を含む場合、前記PPG心拍波形をノイジーとして分類する、請求項3乃至8のいずれかに記載のシステム。 - 前記下限閾値が5%であり、前記上限閾値は95%である、請求項9に記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、前記ECG信号及び前記PPG信号の少なくとも1つにより示される心拍数が、所定の心拍数範囲外である場合、前記PPG心拍波形をノイジーとして分類する、請求項1乃至9のいずれかに記載のシステム。
- 前記信号品質評価モジュールが更に、各PPG心拍波形に対して、
ノイジーとして分類されていない心拍波形が所定の心拍テンプレートと比較されるビートマッチングプロトコルを実行し、
前記PPG心拍波形が前記心拍テンプレートにマッチする場合、前記PPG心拍波形をクリーンとして分類する、請求項1乃至11のいずれかに記載のシステム。 - クリーンフォトプレチスモグラフPPG信号のセグメントを自動的に検出し、ノイジーPPG信号セグメントを拒否する方法において、
フィルタリングされていないPPG信号及び同時ECG信号を入力として患者モニタから受信するステップと、
前記同時に測定されたECG信号を用いて前記PPG信号における複数の心拍の各々をセグメント化するステップと、
前記PPG信号における各心拍に関する特徴のセットを抽出するステップであって、前記特徴が、1つ又は複数の波形振幅及び1つ又は複数のパルス通過時間PPTを含む、ステップと、
前記抽出された特徴を評価し、各PPG心拍波形をクリーン又はノイジーとして分類するステップと、
ユーザに提示するため、識別されたクリーンPPG心拍波形を含むPPG信号統計をディスプレイに出力するステップとを有し、
前記波形振幅が、ピーク振幅及びピーク勾配振幅を含み、
前記分類するステップが、各PPG心拍波形に対して、前記心拍波形のピーク振幅が前記心拍波形のピーク勾配における振幅よりも大きくない場合、前記PPG心拍波形をノイジーとして分類するステップを含む、方法。 - 各ECG心拍波形におけるRピークを識別し、前記同時に捕捉されたPPG信号における対応するPPG心拍波形を連続するRピークの各対の間で識別するステップを更に有する、請求項13に記載の方法。
- 前記PPG心拍波形に関する前記抽出されたPPG信号特徴が、
ピーク足振幅;
ピークパルス通過時間PTTp;
足パルス通過時間PTTf;及び
勾配パルス通過時間PTTsを含み、
前記心拍波形のピーク振幅が非数値である場合、前記PPG心拍波形をノイジーとして分類するステップ;
前記心拍波形のピーク振幅が前記心拍波形の足における振幅よりも大きくない場合、前記PPG心拍波形をノイジーとして分類するステップ;
前記心拍波形のピーク振幅が前記心拍波形のピーク勾配における振幅よりも大きくない場合、又は前記心拍波形の足における振幅が前記心拍波形のピーク勾配における振幅より小さくない場合、前記PPG心拍波形をノイジーとして分類するステップ;
前記心拍波形の足が前記心拍波形のピーク勾配の前に発生する場合、又は前記心拍波形のピーク勾配が前記波形ピークが発生する前に発生する場合、前記PPG心拍波形をノイジーとして分類するステップ;
1つの心拍波形において複数のピークが検出される場合、前記PPG心拍波形をノイジーとして分類するステップ;
前記PPG波形の抽出された特徴毎の確率分布を算出し、前記確率分布に関する上限閾値と下限閾値を規定し、前記抽出された特徴のうちの1つ又は複数が前記上限又は下限の外の値を含む場合、前記PPG心拍波形をノイジーとして分類するステップ;
前記ECG信号及び前記PPG信号の少なくとも1つにより示される前記心拍数が、所定の心拍数範囲外である場合、前記PPG心拍波形をノイジーとして分類するステップ;及び
ノイジーとして分類されていない心拍波形が所定の心拍テンプレートと比較されるビートマッチングプロトコルを実行し、前記PPG心拍波形が前記心拍テンプレートにマッチする場合、前記PPG心拍波形をクリーンとして分類するステップ;の1つ又は複数を更に有する、請求項13に記載の方法。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201562259308P | 2015-11-24 | 2015-11-24 | |
US62/259,308 | 2015-11-24 | ||
PCT/IB2016/056762 WO2017089921A1 (en) | 2015-11-24 | 2016-11-10 | Method to quantify photoplethysmogram (ppg) signal quality |
Publications (3)
Publication Number | Publication Date |
---|---|
JP2018535011A JP2018535011A (ja) | 2018-11-29 |
JP2018535011A5 JP2018535011A5 (ja) | 2019-10-17 |
JP6811773B2 true JP6811773B2 (ja) | 2021-01-13 |
Family
ID=57345997
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2018524322A Active JP6811773B2 (ja) | 2015-11-24 | 2016-11-10 | フォトプレチスモグラム(ppg)信号品質を定量化する方法 |
Country Status (5)
Country | Link |
---|---|
US (1) | US11529101B2 (ja) |
EP (1) | EP3379997B1 (ja) |
JP (1) | JP6811773B2 (ja) |
CN (1) | CN108289615B (ja) |
WO (1) | WO2017089921A1 (ja) |
Families Citing this family (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT201700081018A1 (it) * | 2017-07-18 | 2019-01-18 | St Microelectronics Srl | Trattamento di segnali elettrofisiologici |
IT201700120714A1 (it) | 2017-10-24 | 2019-04-24 | St Microelectronics Srl | Procedimento per trattare segnali elettrofisiologici, sistema, veicolo e prodotto informatico corrispondenti |
EP3479763B1 (en) | 2017-11-06 | 2023-03-01 | Tata Consultancy Services Limited | System and method for photoplethysmogram (ppg) signal quality assessment |
EP3485813A1 (en) * | 2017-11-16 | 2019-05-22 | Koninklijke Philips N.V. | System and method for sensing physiological parameters |
US11229404B2 (en) | 2017-11-28 | 2022-01-25 | Stmicroelectronics S.R.L. | Processing of electrophysiological signals |
EP3902459A4 (en) * | 2018-12-26 | 2022-09-07 | Analytics For Life Inc. | METHOD AND SYSTEM FOR AUTOMATIC QUANTIFICATION OF SIGNAL QUALITY |
CN109758141B (zh) * | 2019-03-06 | 2022-04-26 | 清华大学 | 一种心理压力监测方法、装置及*** |
US20220369943A1 (en) * | 2019-10-02 | 2022-11-24 | Biosency | Method and system for evaluating the quality of ratio of ratios values |
EP3865059B1 (en) * | 2020-02-13 | 2022-11-30 | Qompium | Computer-implemented method for synchronizing a photoplethysmography (ppg) signal with an electrocardiogram (ecg) signal |
CN111248881B (zh) * | 2020-02-21 | 2022-08-02 | 乐普(北京)医疗器械股份有限公司 | 一种对血压进行预测的方法和装置 |
CN111358454B (zh) * | 2020-03-17 | 2022-07-29 | 乐普(北京)医疗器械股份有限公司 | 一种基于差异波占比检测信号质量的方法和装置 |
US11744501B2 (en) * | 2020-05-07 | 2023-09-05 | GE Precision Healthcare LLC | Multi-sensor patch |
CN111557658B (zh) * | 2020-05-13 | 2022-06-03 | 东南大学苏州医疗器械研究院 | Ppg实时心率信号质量评估方法及装置、存储介质 |
EP3918980A1 (en) * | 2020-06-02 | 2021-12-08 | CSEM Centre Suisse d'Electronique et de Microtechnique SA - Recherche et Développement | Method for classifying photoplethysmography pulses and monitoring of cardiac arrhythmias |
KR102241799B1 (ko) * | 2020-08-06 | 2021-04-19 | 주식회사 에이티센스 | 심전도 신호의 분류 데이터를 제공하는 방법 및 전자 장치 |
CN111988097B (zh) * | 2020-08-25 | 2022-05-13 | 青岛歌尔智能传感器有限公司 | Ppg信号的信号质量检测方法及装置和计算机可读存储介质 |
WO2022113084A1 (en) * | 2020-11-27 | 2022-06-02 | Fetuso2 Ltd | Oxymetry device and method for measuring fetus oxygen levels during labor |
WO2023108331A1 (zh) * | 2021-12-13 | 2023-06-22 | 中国科学院深圳先进技术研究院 | 自适应实时心电信号质量评估方法 |
CN114469131A (zh) * | 2021-12-13 | 2022-05-13 | 中国科学院深圳先进技术研究院 | 自适应实时心电信号质量评估方法 |
WO2023192135A1 (en) * | 2022-03-26 | 2023-10-05 | Analog Devices, Inc. | Non-invasive and non-obtrusive mean arterial pressure estimation |
CN114912478B (zh) * | 2022-04-02 | 2024-07-16 | 浙江好络维医疗技术有限公司 | 一种脉搏波信号的干扰检测方法 |
CN114676738B (zh) * | 2022-05-27 | 2022-08-02 | 广东玖智科技有限公司 | Ppg信号质量评估方法及装置以及ppg信号处理方法及*** |
US20240138693A1 (en) * | 2022-10-26 | 2024-05-02 | Garmin International, Inc. | Wrist-worn electronic device with optical cardiac monitor |
CN115670397B (zh) * | 2022-11-17 | 2023-06-02 | 北京中科心研科技有限公司 | 一种ppg伪迹识别方法、装置、存储介质及电子设备 |
WO2024135885A1 (ko) * | 2022-12-21 | 2024-06-27 | 주식회사 아이메디신 | 품질이 검증된 생체 데이터 확보를 위한 인공지능 기반의 생체 데이터 품질 평가 방법, 장치 및 컴퓨터프로그램 |
Family Cites Families (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4802486A (en) | 1985-04-01 | 1989-02-07 | Nellcor Incorporated | Method and apparatus for detecting optical pulses |
JPS62500843A (ja) * | 1985-04-01 | 1987-04-09 | ネルカ− インコ−ポレイテツド | 光学パルスの検知方法および装置 |
US5241964A (en) | 1990-10-31 | 1993-09-07 | Medwave, Incorporated | Noninvasive, non-occlusive method and apparatus which provides a continuous indication of arterial pressure and a beat-by-beat characterization of the arterial system |
JPH09215664A (ja) | 1996-02-13 | 1997-08-19 | Nippon Colin Co Ltd | 自律神経機能評価装置 |
US6684090B2 (en) | 1999-01-07 | 2004-01-27 | Masimo Corporation | Pulse oximetry data confidence indicator |
JP4495378B2 (ja) | 1999-06-10 | 2010-07-07 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | とりわけ酸素飽和度測定からの医学的測定信号のような測定信号のための品質インディケータ |
US20060224073A1 (en) | 2005-03-30 | 2006-10-05 | Dailycare Biomedical Inc. | Integrated physiological signal assessing device |
GB0624085D0 (en) * | 2006-12-01 | 2007-01-10 | Oxford Biosignals Ltd | Biomedical signal analysis method |
JP4862730B2 (ja) | 2007-04-05 | 2012-01-25 | コニカミノルタセンシング株式会社 | 脈波データ解析方法、システム、プログラム |
US11607152B2 (en) * | 2007-06-12 | 2023-03-21 | Sotera Wireless, Inc. | Optical sensors for use in vital sign monitoring |
KR101007354B1 (ko) * | 2008-08-25 | 2011-01-13 | 한국전자통신연구원 | 혈압 측정 장치 및 방법 |
US20100081946A1 (en) * | 2008-09-26 | 2010-04-01 | Qualcomm Incorporated | Method and apparatus for non-invasive cuff-less blood pressure estimation using pulse arrival time and heart rate with adaptive calibration |
US20100274102A1 (en) | 2009-04-22 | 2010-10-28 | Streamline Automation, Llc | Processing Physiological Sensor Data Using a Physiological Model Combined with a Probabilistic Processor |
US10085657B2 (en) * | 2009-06-17 | 2018-10-02 | Sotera Wireless, Inc. | Body-worn pulse oximeter |
JP2011024676A (ja) * | 2009-07-22 | 2011-02-10 | Sharp Corp | 脈波伝播速度算出装置、血圧測定装置、脈波伝播速度算出装置の制御方法、脈波伝播速度算出装置制御プログラムおよび該プログラムを記録したコンピュータ読み取り可能な記録媒体 |
JP2011180067A (ja) | 2010-03-03 | 2011-09-15 | Denso Corp | 運転支援装置 |
CN103348282B (zh) | 2011-02-08 | 2016-02-24 | 夏普株式会社 | 显示面板的检查方法 |
WO2013036718A1 (en) | 2011-09-08 | 2013-03-14 | Isis Innovation Ltd. | Determining acceptability of physiological signals |
CN103020472B (zh) * | 2012-12-27 | 2015-12-09 | 中国科学院深圳先进技术研究院 | 基于约束估计的生理信号质量评估方法和*** |
CN104665768B (zh) | 2013-10-03 | 2019-07-23 | 塔塔咨询服务有限公司 | 生理参数的监测 |
KR101483756B1 (ko) | 2013-10-18 | 2015-01-16 | 상명대학교서울산학협력단 | 맥파 검출 방법 |
-
2016
- 2016-11-10 JP JP2018524322A patent/JP6811773B2/ja active Active
- 2016-11-10 US US15/777,247 patent/US11529101B2/en active Active
- 2016-11-10 WO PCT/IB2016/056762 patent/WO2017089921A1/en active Application Filing
- 2016-11-10 CN CN201680068644.1A patent/CN108289615B/zh active Active
- 2016-11-10 EP EP16798003.6A patent/EP3379997B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11529101B2 (en) | 2022-12-20 |
EP3379997B1 (en) | 2024-01-10 |
WO2017089921A1 (en) | 2017-06-01 |
US20180325457A1 (en) | 2018-11-15 |
EP3379997A1 (en) | 2018-10-03 |
JP2018535011A (ja) | 2018-11-29 |
CN108289615B (zh) | 2021-08-17 |
CN108289615A (zh) | 2018-07-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6811773B2 (ja) | フォトプレチスモグラム(ppg)信号品質を定量化する方法 | |
US9198634B2 (en) | Medical decision support system | |
EP3087915B1 (en) | Method and system for noise cleaning of photoplethysmogram signals for estimating blood pressure | |
Elgendi | Fast QRS detection with an optimized knowledge-based method: Evaluation on 11 standard ECG databases | |
US9314177B2 (en) | System and method of detecting abnormal movement of a physical object | |
CN107028603B (zh) | 使用脉搏触诊信号来检测人体内的糖尿病的装置和方法 | |
EP3453321B1 (en) | Non-invasive method and system for estimating blood pressure from photoplethysmogram using statistical post-processing | |
EP3363351B1 (en) | System for detection of coronary artery disease in a person using a fusion approach | |
EP3479763B1 (en) | System and method for photoplethysmogram (ppg) signal quality assessment | |
Bashar et al. | Developing a novel noise artifact detection algorithm for smartphone PPG signals: Preliminary results | |
JP2018535011A5 (ja) | ||
US10368755B2 (en) | Apparatus and method for feature extraction and classification of fetal heart rate | |
CN105705079A (zh) | 用于处理生理信号的设备、方法和*** | |
Sun et al. | Assessment of photoplethysmogram signal quality using morphology integrated with temporal information approach | |
Rahul et al. | Exploratory data analysis based efficient QRS-complex detection technique with minimal computational load | |
Beh et al. | Machine-Aided PPG Signal Quality Assessment (SQA) for Multi-Mode Physiological Signal Monitoring | |
Fioravanti et al. | Machine learning framework for Inter-Beat Interval estimation using wearable Photoplethysmography sensors | |
US20190200935A1 (en) | Systems and methods for detecting anomaly in a cardiovascular signal using hierarchical extremas and repetitions | |
Aboy et al. | Method and apparatus for evaluation of fluid responsiveness | |
Sood et al. | Feature extraction for photoplethysmographic signals using pwa: Ppg waveform analyzer | |
Alam et al. | Sensor agnostic photoplethysmogram signal quality assessment using morphological analysis | |
JP7466548B2 (ja) | 呼吸警報を発生させるための装置及びシステム | |
Longjie et al. | Motion Artefact Removal using Single Beat Classification of Photoplethysmographic Signals | |
JP6537744B2 (ja) | メンタルストレス検出装置及びメンタルストレス検出プログラム | |
Cisnal et al. | Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20190905 |
|
A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20190905 |
|
A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20200626 |
|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20200709 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20201002 |
|
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: 20201119 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20201215 |
|
R150 | Certificate of patent or registration of utility model |
Ref document number: 6811773 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |