Monte Carlo Analysis of Optical Interactions in Reflectance and Transmittance Finger Photoplethysmography [PDF]
Photoplethysmography (PPG) is a non-invasive photometric technique that measures the volume changes in arterial blood. Recent studies have reported limitations in developing and optimising PPG-based sensing technologies due to unavailability of the ...
Anatomy +13 more
core +1 more source
Context: Brain metabolite ratios derived from magnetic resonance spectroscopy (MRS) has been used to document changes in neuronal viability, glial activation and inflammation associated with Human Immunodeficiency Virus (HIV) infection and cardiovascular
Roger C McIntosh +5 more
doaj +1 more source
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis +1 more
core +1 more source
Data Fusion for Improved Respiration Rate Estimation [PDF]
We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise.
Atul Malhotra +2 more
core +1 more source
Relation between tag position and degree of visualized cerebrospinal fluid reflux into the lateral ventricles in time-spatial labeling inversion pulse magnetic resonance imaging at the foramen of Monro [PDF]
BACKGROUND: Time-spatial labeling inversion pulse (Time-SLIP) magnetic resonance imaging allows non-invasive visualization of cerebrospinal fluid (CSF) movement. Our study evaluated the sensitivity of the Time-SLIP tag placement on the measurement of CSF
Alissa Old Crow +2 more
core +1 more source
Motion limitations of non-contact photoplethysmography due to the optical and topological properties of skin [PDF]
Non-contact photoplethysmography (PPG) provides multiple benefits over in-contact methods, but is not as tolerant to motion due to the lack of mechanical coupling between the subject and sensor.
Alametsä J +10 more
core +3 more sources
The 2023 wearable photoplethysmography roadmap [PDF]
Photoplethysmography is a key sensing technology which is used in wearable devices such as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to monitor physiological parameters including heart rate and heart rhythm, and ...
Allen, John +50 more
core +5 more sources
Determination of Oxygen Saturation and Photoplethysmogram from Near Infrared Scattering Images
The near infrared scattering images of human muscle include some information on bloodstream and hemoglobin concentration according to skin depth and time. This paper addressed a method of determining oxygen saturation and photoplethysmogram from the near infrared (NIR) scattering images of muscle.
Ri, Yong-U +2 more
openaire +2 more sources
Stress detection using wearable physiological and sociometric sensors [PDF]
Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in a social situation by combining two sensor systems that capture ...
Acharya U. R. +20 more
core +3 more sources
Wearable technology: role in respiratory health and disease [PDF]
In the future, diagnostic devices will be able to monitor a patient's physiological or biochemical parameters continuously, under natural physiological conditions and in any environment through wearable biomedical sensors. Together with apps that capture
Aliverti, Andrea
core +1 more source

