, 2022 Traditionally the machine learning assisted quality assessment of biomedical signals (such as electrocardiogram - ECG, photoplethysmography - PPG) have classified a signal segment quality as ”good” or ”bad” and used this assessment to determine if the ...
Matti Kaisti +5 more
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AIP Advances, 2022 Cardiac diseases have been one of the leading causes of death in developed and developing countries. This can be attributed to the prevailing eating habits as well as unhealthy work–life balance and lifestyle.
Arindam Kushagra +4 more
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Speckle Vibrometry for Instantaneous Heart Rate Monitoring [PDF]
, 2023 Instantaneous heart rate (IHR) has been investigated for sleep applications, such as sleep apnea detection and sleep staging. To ensure the comfort of the patient during sleep, it is desirable for IHR to be measured in a contact-free fashion.
Overeem, Sebastiaan +6 more
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Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone [PDF]
, 2022 Atrial Fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors (Inertial Measurement Unit, IMU) in the detection. Depending on the patient’s situation,it is possible to use the developed smartphone application either ...
Antti Saraste +10 more
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Digital music interventions for stress with bio-sensing: a survey [PDF]
, 2023 Music therapy is used to treat stress and anxiety in patients for a broad range of reasons such as cancer treatment, substance abuse, addressing trauma, and just daily stress in life.
Arron Ferguson +2 more
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Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall [PDF]
, 2020 This paper presents forcecardiography (FCG), a novel technique to measure local, cardiac-induced vibrations onto the chest wall. Since the 19th century, several techniques have been proposed to detect the mechanical vibrations caused by cardiovascular ...
Andreozzi, Emilio +6 more
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A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review [PDF]
, 2022 Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and
Bhagawati Mrinalini +15 more
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Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation [PDF]
, 2019 Cardiac time intervals are important hemodynamic indices and provide information about left ventricular performance. Phonocardiography (PCG), impedance cardiography (ICG), and recently, seismocardiography (SCG) have been unobtrusive methods of choice for
Blaber, Andrew P. +13 more
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A novel seismocardiogram mathematical model for simplified adjustment of adaptive filter [PDF]
, 2022 Nonclinical measurements of a seismocardiogram (SCG) can diagnose cardiovascular disease (CVD) at an early stage, when a critical condition has not been reached, and prevents unplanned hospitalization. However, researchers are restricted when it comes to
Andriukaitis, Darius +7 more
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Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms [PDF]
, 2022 Atrial fibrillation (AFib) is the most common sustained heart arrhythmia and is characterized by irregular and excessively frequent ventricular contractions. Early diagnosis of AFib is a key step in the prevention of stroke and heart failure.
Eero Lehtonen +13 more
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