To improve the signal-to-noise ratio for heart rate monitoring during exercise, a multitude of photoplethysmographic sensors were employed. To eliminate motion artifacts due to physical exercise a nonlinear signal processing algorithm was implemented in an embedded processor. Preliminary results demonstrated accurate heart rate detection through two pairs of reflective sensors on the radial and ulnar arteries at the wrist. Photoplethysmography is a common technique for monitoring heart rates
Photopletismography (PPG) is a simple, low cost and noninvasive technique, implemented by pulse-oxim...
A method is presented for long-term monitoring of vital signs tested during physical exercise. The s...
Accurate heart rate monitoring during intense physical exercise is a challenging problem due to the ...
Accurate and reliable estimation of the heart rate using wearable devices, especially during physica...
Non-invasive monitoring of physiological signals during physical exercise is essential to customize ...
In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to ...
In this dissertation, photoplethysmography-based biomedical signal processing methods are developed ...
Objective: Recently numerous methods have been proposed for estimating average heart rate using phot...
This study presents the use of a multi-channel opto-electronic sensor (OEPS) to effectively monitor ...
This study presents the use of a multi-channel opto-electronic sensor (OEPS) to effectively monitor ...
This paper deals with the estimation of the temporal evolution of heart rate (HR), in subjects under...
This thesis, assigned by Plantronics, proposes a solution to the motion artifacts that corrupt the r...
In the last years, the need for enhancing health and preventing problems with remote monitoring is i...
Recent developments in computer science and digital image processing have enabled the extraction of ...
Physical activity can severely influence the quality of photoplethysmographic (PPG) signals due to m...
Photopletismography (PPG) is a simple, low cost and noninvasive technique, implemented by pulse-oxim...
A method is presented for long-term monitoring of vital signs tested during physical exercise. The s...
Accurate heart rate monitoring during intense physical exercise is a challenging problem due to the ...
Accurate and reliable estimation of the heart rate using wearable devices, especially during physica...
Non-invasive monitoring of physiological signals during physical exercise is essential to customize ...
In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to ...
In this dissertation, photoplethysmography-based biomedical signal processing methods are developed ...
Objective: Recently numerous methods have been proposed for estimating average heart rate using phot...
This study presents the use of a multi-channel opto-electronic sensor (OEPS) to effectively monitor ...
This study presents the use of a multi-channel opto-electronic sensor (OEPS) to effectively monitor ...
This paper deals with the estimation of the temporal evolution of heart rate (HR), in subjects under...
This thesis, assigned by Plantronics, proposes a solution to the motion artifacts that corrupt the r...
In the last years, the need for enhancing health and preventing problems with remote monitoring is i...
Recent developments in computer science and digital image processing have enabled the extraction of ...
Physical activity can severely influence the quality of photoplethysmographic (PPG) signals due to m...
Photopletismography (PPG) is a simple, low cost and noninvasive technique, implemented by pulse-oxim...
A method is presented for long-term monitoring of vital signs tested during physical exercise. The s...
Accurate heart rate monitoring during intense physical exercise is a challenging problem due to the ...