Results 21 to 30 of about 177 (88)

Frequency‐Modulated Continuous Wave Radar Respiratory Pattern Detection Technology Based on Multifeature

open access: yesJournal of Healthcare Engineering, Volume 2021, Issue 1, 2021., 2021
Respiratory diseases including apnea are often accompanied by abnormal respiratory depth, frequency, and rhythm. If different abnormal respiratory patterns can be detected and recorded, with their depth, frequency, and rhythm analyzed, the detection and diagnosis of respiratory diseases can be achieved.
Qisong Wang   +8 more
wiley   +1 more source

Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography [PDF]

open access: yes, 2022
Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques.
Juhani Airaksinen   +8 more
core   +1 more source

Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU

open access: yesSensors, 2023
Heart rate variability (HRV) indexes are becoming useful in various applications, from better diagnosis and prevention of diseases to predicting stress levels.
Čukić Milena   +6 more
doaj   +1 more source

Implementation of a Machine Learning Algorithm for the Detection of Cardiovascular Diseases in Adult Patients in Public Hospitals of Lima, Peru, 2023 [PDF]

open access: yes, 2023
Introduction: Cardiovascular diseases are one of the leading causes of death worldwide. In Lima, Peru, public hospitals face significant challenges in the early and accurate diagnosis of these diseases due to limited resources and trained personnel.
Meneses Claudio, Brian Andreé
core   +2 more sources

Detection and analysis of heartbeats in seismocardiogram signals [PDF]

open access: yes, 2020
This paper presents an unsupervised methodology to analyze SeismoCardioGram (SCG) signals. Starting from raw accelerometric data, heartbeat complexes are extracted and annotated, using a two-step procedure.
Ciampolini, P.   +3 more
core   +1 more source

Computing in Cardiology [PDF]

open access: yes, 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
core   +1 more source

A unified methodology for heartbeats detection in seismocardiogram and ballistocardiogram signals [PDF]

open access: yes, 2020
This work presents a methodology to analyze and segment both seismocardiogram (SCG) and ballistocardiogram (BCG) signals in a unified fashion. An unsupervised approach is followed to extract a template of SCG/BCG heartbeats, which is then used to fine ...
Ciampolini, P.   +3 more
core   +1 more source

Digital music interventions for stress with bio-sensing: a survey [PDF]

open access: yes, 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
core   +1 more source

Reflectocardiography (RCG): A leadless, optical reflection based facile measurement of human cardiac rhythm

open access: yesAIP 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
doaj   +1 more source

Speckle Vibrometry for Instantaneous Heart Rate Monitoring [PDF]

open access: yes, 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
core   +1 more source

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