FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384154170> ?p ?o ?g. }

• W4384154170 abstract "<sec> <title>BACKGROUND</title> Over 10 million newborns worldwide undergo resuscitation at birth each year. Pediatricians may use electrocardiogram (ECG), pulse oximetry (PO), and stethoscope in determining heart rate (HR), as HR guides the need for and steps of resuscitation. HR must be obtained quickly and accurately. Unfortunately, the current diagnostic modalities are either too slow, obtaining HR in more than a minute, or inaccurate. With time constraints, a reliable robust heart rate detector (HRD) modality is required. This paper discusses a protocol for conducting a methods-based comparison study to determine the HR accuracy of a novel real-time HRD based on 3D-printed dry-electrode single-lead ECG signals for cost-effective and quick HR determination. The HRD’s HR results are compared to either clinical-grade ECG or PO monitors to ensure robustness and accuracy. </sec> <sec> <title>OBJECTIVE</title> The purpose of this study is to design and examine the feasibility of a proof-of-concept HRD that quickly obtains HR using biocompatible 3D-printed dry electrodes for single-lead neonatal ECG acquisition. This study uses a novel HRD and compares it to the gold-standard 3-lead clinical ECG or PO in a hospital setting. </sec> <sec> <title>METHODS</title> A cross-sectional study is planned to be conducted in the neonatal intensive care unit or postpartum unit of a large community teaching hospital in Toronto, Canada, from June 2023 to June 2024. In total, 50 newborns will be recruited for this study. The HRD and an ECG or PO monitor will be video recorded using a digital camera concurrently for 3 minutes for each newborn. Hardware-based signal processing and patent-pending embedded algorithm-based HR estimation techniques are applied directly to the raw collected single-lead ECG and displayed on the HRD in real time during video recordings. These data will be annotated and compared to the ECG or PO readings at the same points in time. Accuracy, <i>F</i>₁-score, and other statistical metrics will be produced to determine the HRD’s feasibility in providing reliable HR. </sec> <sec> <title>RESULTS</title> The study is ongoing. The projected end date for data collection is around July 2024. </sec> <sec> <title>CONCLUSIONS</title> The study will compare the novel patent-pending 3D-printed dry electrode–based HRD’s real-time HR estimation techniques with the state-of-the-art clinical-grade ECG or PO monitors for HR accuracy and examines how fast the HRD provides reliable HR. The study will further provide recommendations and important improvements that can be made to implement the HRD for clinical applications, especially in neonatal resuscitation efforts. This work can be seen as a stepping stone in the development of robust dry-electrode single-lead ECG devices for HR estimations in the pediatric population. </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> DERR1-10.2196/45512 </sec>" @default.
• W4384154170 created "2023-07-14" @default.
• W4384154170 creator A5035875616 @default.
• W4384154170 creator A5051497407 @default.
• W4384154170 creator A5086845888 @default.
• W4384154170 date "2023-07-10" @default.
• W4384154170 modified "2023-10-18" @default.
• W4384154170 title "Novel Infant Heart Rate Detector: Proof of Concept Study (Preprint)" @default.
• W4384154170 cites W141442112 @default.
• W4384154170 cites W1974004520 @default.
• W4384154170 cites W2031146134 @default.
• W4384154170 cites W2102163207 @default.
• W4384154170 cites W2119621130 @default.
• W4384154170 cites W2142917328 @default.
• W4384154170 cites W2199185488 @default.
• W4384154170 cites W2292070438 @default.
• W4384154170 cites W2414248942 @default.
• W4384154170 cites W2529278708 @default.
• W4384154170 cites W2588878036 @default.
• W4384154170 cites W2610769094 @default.
• W4384154170 cites W2917997848 @default.
• W4384154170 cites W2918377489 @default.
• W4384154170 cites W3008093449 @default.
• W4384154170 cites W3157747031 @default.
• W4384154170 cites W3205141260 @default.
• W4384154170 cites W3215804489 @default.
• W4384154170 cites W4200047863 @default.
• W4384154170 doi "https://doi.org/10.2196/preprints.45512" @default.
• W4384154170 hasPublicationYear "2023" @default.
• W4384154170 type Work @default.
• W4384154170 citedByCount "0" @default.
• W4384154170 crossrefType "posted-content" @default.
• W4384154170 hasAuthorship W4384154170A5035875616 @default.
• W4384154170 hasAuthorship W4384154170A5051497407 @default.
• W4384154170 hasAuthorship W4384154170A5086845888 @default.
• W4384154170 hasConcept C126322002 @default.
• W4384154170 hasConcept C2777953023 @default.
• W4384154170 hasConcept C71924100 @default.
• W4384154170 hasConcept C84393581 @default.
• W4384154170 hasConceptScore W4384154170C126322002 @default.
• W4384154170 hasConceptScore W4384154170C2777953023 @default.
• W4384154170 hasConceptScore W4384154170C71924100 @default.
• W4384154170 hasConceptScore W4384154170C84393581 @default.
• W4384154170 hasLocation W43841541701 @default.
• W4384154170 hasOpenAccess W4384154170 @default.
• W4384154170 hasPrimaryLocation W43841541701 @default.
• W4384154170 hasRelatedWork W1506200166 @default.
• W4384154170 hasRelatedWork W1995515455 @default.
• W4384154170 hasRelatedWork W2048182022 @default.
• W4384154170 hasRelatedWork W2080531066 @default.
• W4384154170 hasRelatedWork W2604872355 @default.
• W4384154170 hasRelatedWork W2748952813 @default.
• W4384154170 hasRelatedWork W2899084033 @default.
• W4384154170 hasRelatedWork W3031052312 @default.
• W4384154170 hasRelatedWork W3032375762 @default.
• W4384154170 hasRelatedWork W3108674512 @default.
• W4384154170 isParatext "false" @default.
• W4384154170 isRetracted "false" @default.
• W4384154170 workType "article" @default.