Signal Processing
Articles published in this theme: 14 (scroll down to load remaining articles)
2025
Estimation of Brachial-Ankle Pulse Wave Velocity With Hierarchical Regression Model From Wrist Photoplethysmography and Electrocardiographic Signals: Method Design
JMIR Biomed Eng 2025 (Aug 26); 10:e58756
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2024
Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study
JMIR Res Protoc 2024 (Sep 26); 13:e63306
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2023
Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis
JMIR Aging 2023 (Nov 24); 6:e49587
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2022
Motion Artifact Reduction in Electrocardiogram Signals Through a Redundant Denoising Independent Component Analysis Method for Wearable Health Care Monitoring Systems: Algorithm Development and Validation
JMIR Med Inform 2022 (Nov 25); 10(11):e40826
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Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
JMIR Mhealth Uhealth 2022 (Oct 04); 10(10):e40667
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The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey
J Med Internet Res 2022 (Apr 08); 24(4):e28901
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2021
Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation
JMIR Mhealth Uhealth 2021 (Nov 19); 9(11):e27674
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Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study
JMIR Med Inform 2021 (Oct 21); 9(10):e28039
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Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study
J Med Internet Res 2021 (Sep 10); 23(9):e31129
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Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study
JMIR Mhealth Uhealth 2021 (Aug 12); 9(8):e25415
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Associations Between Physiological Signals Captured Using Wearable Sensors and Self-reported Outcomes Among Adults in Alcohol Use Disorder Recovery: Development and Usability Study
JMIR Form Res 2021 (Jul 21); 5(7):e27891
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2020
Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study
J Med Internet Res 2020 (May 21); 22(5):e16443
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2019
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study
JMIR Mhealth Uhealth 2019 (Jun 12); 7(6):e12770
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2018
Design Rationale and Performance Evaluation of the Wavelet Health Wristband: Benchtop Validation of a Wrist-Worn Physiological Signal Recorder
JMIR Mhealth Uhealth 2018 (Oct 16); 6(10):e11040
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