BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

251 related articles for article (PubMed ID: 28391210)

  • 1. Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone.
    Lahdenoja O; Hurnanen T; Iftikhar Z; Nieminen S; Knuutila T; Saraste A; Kiviniemi T; Vasankari T; Airaksinen J; Pankaala M; Koivisto T
    IEEE J Biomed Health Inform; 2018 Jan; 22(1):108-118. PubMed ID: 28391210
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Monitoring and detecting atrial fibrillation using wearable technology.
    Nemati S; Ghassemi MM; Ambai V; Isakadze N; Levantsevych O; Shah A; Clifford GD
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3394-3397. PubMed ID: 28269032
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Wireless Smartphone ECG Enables Large-Scale Screening in Diverse Populations.
    Haberman ZC; Jahn RT; Bose R; Tun H; Shinbane JS; Doshi RN; Chang PM; Saxon LA
    J Cardiovasc Electrophysiol; 2015 May; 26(5):520-6. PubMed ID: 25651872
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mobile Electrocardiograms in the Detection of Subclinical Atrial Fibrillation in High-Risk Outpatient Populations: Protocol for an Observational Study.
    Mittal A; Elkaldi Y; Shih S; Nathu R; Segal M
    JMIR Res Protoc; 2024 May; 13():e52647. PubMed ID: 38801762
    [TBL] [Abstract][Full Text] [Related]  

  • 5. End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography.
    Mehrang S; Jafari Tadi M; Knuutila T; Jaakkola J; Jaakkola S; Kiviniemi T; Vasankari T; Airaksinen J; Koivisto T; Pänkäälä M
    Physiol Meas; 2022 May; 43(5):. PubMed ID: 35413698
    [No Abstract]   [Full Text] [Related]  

  • 6. PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application.
    McMANUS DD; Chong JW; Soni A; Saczynski JS; Esa N; Napolitano C; Darling CE; Boyer E; Rosen RK; Floyd KC; Chon KH
    J Cardiovasc Electrophysiol; 2016 Jan; 27(1):51-7. PubMed ID: 26391728
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings.
    Nguyen A; Ansari S; Hooshmand M; Lin K; Ghanbari H; Gryak J; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():526-529. PubMed ID: 30440450
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Human Physical Activity Recognition Using Smartphone Sensors.
    Voicu RA; Dobre C; Bajenaru L; Ciobanu RI
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30678039
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol.
    Hickey KT; Hauser NR; Valente LE; Riga TC; Frulla AP; Masterson Creber R; Whang W; Garan H; Jia H; Sciacca RR; Wang DY
    BMC Cardiovasc Disord; 2016 Jul; 16():152. PubMed ID: 27422639
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 'Smart' solutions for paroxysmal atrial fibrillation?
    Grieten L; Vandenberk T; Nuyens D
    Europace; 2017 Jul; 19(7):1108. PubMed ID: 27733471
    [No Abstract]   [Full Text] [Related]  

  • 11. Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms.
    Hurnanen T; Lehtonen E; Tadi MJ; Kuusela T; Kiviniemi T; Saraste A; Vasankari T; Airaksinen J; Koivisto T; Pankaala M
    IEEE J Biomed Health Inform; 2017 Sep; 21(5):1233-1241. PubMed ID: 27834656
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.
    Sağbaş EA; Korukoglu S; Balli S
    J Med Syst; 2020 Feb; 44(4):68. PubMed ID: 32072331
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Morphological Autoencoders for Beat-by-Beat Atrial Fibrillation Detection Using Single-Lead ECG.
    Silva R; Fred A; Plácido da Silva H
    Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36905058
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study.
    Sultana M; Al-Jefri M; Lee J
    JMIR Mhealth Uhealth; 2020 Sep; 8(9):e17818. PubMed ID: 32990638
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems.
    Gao L; Bourke AK; Nelson J
    Med Eng Phys; 2014 Jun; 36(6):779-85. PubMed ID: 24636448
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.
    Juutinen M; Wang C; Zhu J; Haladjian J; Ruokolainen J; Puustinen J; Vehkaoja A
    PLoS One; 2020; 15(7):e0236258. PubMed ID: 32701955
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Body position classification for cardiorespiratory measurement.
    Mlynczak M; Berka M; Niewiadomski W; Cybulski G
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3515-3518. PubMed ID: 28269056
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Implementation of a portable device for real-time ECG signal analysis.
    Jeon T; Kim B; Jeon M; Lee BG
    Biomed Eng Online; 2014 Dec; 13():160. PubMed ID: 25491135
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Movement artefact removal from NIRS signal using multi-channel IMU data.
    Siddiquee MR; Marquez JS; Atri R; Ramon R; Perry Mayrand R; Bai O
    Biomed Eng Online; 2018 Sep; 17(1):120. PubMed ID: 30200984
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Screening for atrial fibrillation during influenza vaccinations by primary care nurses using a smartphone electrocardiograph (iECG): A feasibility study.
    Orchard J; Lowres N; Freedman SB; Ladak L; Lee W; Zwar N; Peiris D; Kamaladasa Y; Li J; Neubeck L
    Eur J Prev Cardiol; 2016 Oct; 23(2 suppl):13-20. PubMed ID: 27892421
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.