373 related articles for article (PubMed ID: 34077866)
1. A hybrid neural network for continuous and non-invasive estimation of blood pressure from raw electrocardiogram and photoplethysmogram waveforms.
Baker S; Xiang W; Atkinson I
Comput Methods Programs Biomed; 2021 Aug; 207():106191. PubMed ID: 34077866
[TBL] [Abstract][Full Text] [Related]
2. Concatenated convolutional neural network model for cuffless blood pressure estimation using fuzzy recurrence properties of photoplethysmogram signals.
Malayeri AB; Khodabakhshi MB
Sci Rep; 2022 Apr; 12(1):6633. PubMed ID: 35459260
[TBL] [Abstract][Full Text] [Related]
3. Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach.
Leitner J; Chiang PH; Dey S
IEEE J Biomed Health Inform; 2022 Jan; 26(1):218-228. PubMed ID: 34077378
[TBL] [Abstract][Full Text] [Related]
4. Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques.
Miao F; Wen B; Hu Z; Fortino G; Wang XP; Liu ZD; Tang M; Li Y
Artif Intell Med; 2020 Aug; 108():101919. PubMed ID: 32972654
[TBL] [Abstract][Full Text] [Related]
5. A multistage deep neural network model for blood pressure estimation using photoplethysmogram signals.
Esmaelpoor J; Moradi MH; Kadkhodamohammadi A
Comput Biol Med; 2020 May; 120():103719. PubMed ID: 32421641
[TBL] [Abstract][Full Text] [Related]
6. Cuff-Less Blood Pressure Estimation via Small Convolutional Neural Networks.
Wang W; Mohseni P; Kilgore K; Najafizadeh L
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1031-1034. PubMed ID: 34891464
[TBL] [Abstract][Full Text] [Related]
7. Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only.
Hsu YC; Li YH; Chang CC; Harfiya LN
Sensors (Basel); 2020 Oct; 20(19):. PubMed ID: 33020401
[TBL] [Abstract][Full Text] [Related]
8. Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network.
Khodabakhshi MB; Eslamyeh N; Sadredini SZ; Ghamari M
Comput Methods Programs Biomed; 2022 Nov; 226():107131. PubMed ID: 36137326
[TBL] [Abstract][Full Text] [Related]
9. A Continuous Non-Invasive Blood Pressure Prediction Method Based on Deep Sparse Residual U-Net Combined with Improved Squeeze and Excitation Skip Connections.
Lai K; Wang X; Cao C
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732827
[TBL] [Abstract][Full Text] [Related]
10. A Continuous Blood Pressure Estimation Method Using Photoplethysmography by GRNN-Based Model.
Li Z; He W
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770514
[TBL] [Abstract][Full Text] [Related]
11. An Estimation Method of Continuous Non-Invasive Arterial Blood Pressure Waveform Using Photoplethysmography: A U-Net Architecture-Based Approach.
Athaya T; Choi S
Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33800106
[TBL] [Abstract][Full Text] [Related]
12. Cuff-less blood pressure estimation from photoplethysmography signal and electrocardiogram.
Yao LP; Pan ZL
Phys Eng Sci Med; 2021 Jun; 44(2):397-408. PubMed ID: 33738778
[TBL] [Abstract][Full Text] [Related]
13. Hybrid CNN-SVR Blood Pressure Estimation Model Using ECG and PPG Signals.
Rastegar S; Gholam Hosseini H; Lowe A
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772300
[TBL] [Abstract][Full Text] [Related]
14. A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Mahmud S; Ibtehaz N; Khandakar A; Tahir AM; Rahman T; Islam KR; Hossain MS; Rahman MS; Musharavati F; Ayari MA; Islam MT; Chowdhury MEH
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161664
[TBL] [Abstract][Full Text] [Related]
15. Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model.
Li YH; Harfiya LN; Purwandari K; Lin YD
Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 33007891
[TBL] [Abstract][Full Text] [Related]
16. A Novel CNN-LSTM Model Based Non-Invasive Cuff-Less Blood Pressure Estimation System.
Nandi P; Rao M
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():832-836. PubMed ID: 36086017
[TBL] [Abstract][Full Text] [Related]
17. Highly wearable cuff-less blood pressure and heart rate monitoring with single-arm electrocardiogram and photoplethysmogram signals.
Zhang Q; Zhou D; Zeng X
Biomed Eng Online; 2017 Feb; 16(1):23. PubMed ID: 28166774
[TBL] [Abstract][Full Text] [Related]
18. Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.
Khalid SG; Zhang J; Chen F; Zheng D
J Healthc Eng; 2018; 2018():1548647. PubMed ID: 30425819
[TBL] [Abstract][Full Text] [Related]
19. Photoplethysmography-based cuffless blood pressure estimation: an image encoding and fusion approach.
Liu Y; Yu J; Mou H
Physiol Meas; 2023 Dec; 44(12):. PubMed ID: 38099538
[No Abstract] [Full Text] [Related]
20. Estimating Systolic Blood Pressure Using Convolutional Neural Networks.
Rastegar S; Gholamhosseini H; Lowe A; Mehdipour F; Lindén M
Stud Health Technol Inform; 2019; 261():143-149. PubMed ID: 31156106
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]