Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
A number of resources, every year, being spent to tackle early detection of cardiac
abnormalities which is one of the leading causes of deaths all over the Globe. The …
abnormalities which is one of the leading causes of deaths all over the Globe. The …
IoT healthcare analytics: The importance of anomaly detection
Healthcare data is quite rich and often contains human survival related information.
Analyzing healthcare data is of prime importance particularly considering the immense …
Analyzing healthcare data is of prime importance particularly considering the immense …
Knowledge-driven analytics and systems impacting human quality of life-neurosymbolic ai, explainable ai and beyond
The management of knowledge-driven artificial intelligence technologies is essential in
order to evaluate their impact on human life and society. Social networks and tech use can …
order to evaluate their impact on human life and society. Social networks and tech use can …
iCarMa: inexpensive cardiac arrhythmia management--an IoT healthcare analytics solution
Ubiquity of smartphones with array of inbuilt sensors, pave ways to inexpensive mobile-
health systems, particularly for cardio-vascular health monitoring. Smartphones, wearable …
health systems, particularly for cardio-vascular health monitoring. Smartphones, wearable …
Uncertainty in heart rate complexity metrics caused by R-peak perturbations
Heart rate complexity (HRC) is a proven metric for gaining insight into human stress and
physiological deterioration. To calculate HRC, the detection of the exact instance of when …
physiological deterioration. To calculate HRC, the detection of the exact instance of when …
Automated cardiac health screening using smartphone and wearable sensors through anomaly analytics
With the advent and rapid deployment of Internet of Things (IoT), artificial intelligence (AI),
powerful smartphones, and wearable sensor devices (eg, smartwatch), we are entering into …
powerful smartphones, and wearable sensor devices (eg, smartwatch), we are entering into …
Classification of normal and abnormal heart sound recordings through robust feature selection
We aim to develop a reliable and robust algorithm that accurately analyses a single short
PCG recording (10-60s) from a single precordial location to determine the presence of heart …
PCG recording (10-60s) from a single precordial location to determine the presence of heart …
Representation learning on variable length and incomplete wearable-sensory time series
The prevalence of wearable sensors (eg, smart wristband) is creating unprecedented
opportunities to not only inform health and wellness states of individuals, but also assess …
opportunities to not only inform health and wellness states of individuals, but also assess …
Smart cardiac health management in IoT through heart sound signal analytics and robust noise filtering
A Ukil, UK Roy - … IEEE 28th annual international symposium on …, 2017 - ieeexplore.ieee.org
Heart sound or Phonocardiogram (PCG) is one of the fundamental markers of cardiac
health. With the promise of Internet of Things (IoT) and advent of wearable-captured PCG …
health. With the promise of Internet of Things (IoT) and advent of wearable-captured PCG …
Non-harmonic analysis based instantaneous heart rate estimation from photoplethysmography
Instantaneous Heart Rate (IHR) detection is important but challenging. As a kind of
biomedical signal, photoplethysmography (PPG) is a good source to extract the intrinsic IHR …
biomedical signal, photoplethysmography (PPG) is a good source to extract the intrinsic IHR …