Precordial vibrations: A review of wearable systems, signal processing techniques, and main applications
Recently, the ever-growing interest in the continuous monitoring of heart function in out-of-
laboratory settings for an early diagnosis of cardiovascular diseases has led to the …
laboratory settings for an early diagnosis of cardiovascular diseases has led to the …
Body acoustics for the non-invasive diagnosis of medical conditions
In the past few decades, many non-invasive monitoring methods have been developed
based on body acoustics to investigate a wide range of medical conditions, including …
based on body acoustics to investigate a wide range of medical conditions, including …
A soft and skin-interfaced smart patch based on fiber optics for cardiorespiratory monitoring
Wearables are valuable solutions for monitoring a variety of physiological parameters. Their
application in cardiorespiratory monitoring may significantly impact global health problems …
application in cardiorespiratory monitoring may significantly impact global health problems …
Comparison between chest-worn accelerometer and gyroscope performance for heart rate and respiratory rate monitoring
The demand for wearable devices to simultaneously monitor heart rate (HR) and respiratory
rate (RR) values has grown due to the incidence increase in cardiovascular and respiratory …
rate (RR) values has grown due to the incidence increase in cardiovascular and respiratory …
Linear and non-linear heart rate variability indexes from heart-induced mechanical signals recorded with a skin-interfaced IMU
Heart rate variability (HRV) indexes are becoming useful in various applications, from better
diagnosis and prevention of diseases to predicting stress levels. Typically, HRV indexes are …
diagnosis and prevention of diseases to predicting stress levels. Typically, HRV indexes are …
Heart rate variability analysis on electrocardiograms, seismocardiograms and gyrocardiograms of healthy volunteers and patients with valvular heart diseases
Heart rate variability (HRV) is the physiological variation in the intervals between
consecutive heartbeats that reflects the activity of the autonomic nervous system. This …
consecutive heartbeats that reflects the activity of the autonomic nervous system. This …
A deep learning approach to using wearable Seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow …
M Ebrahimkhani, EMI Johnson, A Sodhi… - Annals of Biomedical …, 2023 - Springer
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics
obtained using 4-dimensional (4D) flow magnetic resonance imaging (MRI) using wearable …
obtained using 4-dimensional (4D) flow magnetic resonance imaging (MRI) using wearable …
Wearable Systems for Unveiling Collective Intelligence in Clinical Settings
Nowadays, there is an ever-growing interest in assessing the collective intelligence (CI) of a
team in a wide range of scenarios, thanks to its potential in enhancing teamwork and group …
team in a wide range of scenarios, thanks to its potential in enhancing teamwork and group …
Radarcardiograph signal modeling and time-frequency analysis
In this paper, we delve deeper into recent advancements in radar based biomedical
measurements that capture fine movements associated with human heart sounds. We call …
measurements that capture fine movements associated with human heart sounds. We call …
Emerging intelligent wearable devices for cardiovascular health monitoring
Y Wang, Y Zou, Z Li - Nano Today, 2024 - Elsevier
Cardiovascular diseases have long posed a significant threat to human health. Wearable
devices are increasingly vital in cardiovascular health monitoring, disease screening, and …
devices are increasingly vital in cardiovascular health monitoring, disease screening, and …