Skin detection and tracking for camera-based photoplethysmography using a Bayesian classifier and level set segmentation

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen; Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg, S. 43-48

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2017

Event: Veröffentlichung

(where): Berlin

(who): Springer

(when): 2017

Creator: Trumpp, Alexander
Rasche, Stefan
Wedekind, Daniel
Schmidt, Martin
Waldow, Thomas
Gaetjen, Frederik
Plötze, Katrin
Malberg, Hagen
Matschke, Klaus
Zaunseder, Sebastian

Contributor: Maier-Hein, Klaus Hermann
Deserno, Thomas Martin
Handels, Heinz
Tolxdorff, Thomas

DOI: 10.1007/978-3-662-54345-0_16

URN: urn:nbn:de:bvb:384-opus4-998560

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:49 PM CET

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Associated

Trumpp, Alexander
Rasche, Stefan
Wedekind, Daniel
Schmidt, Martin
Waldow, Thomas
Gaetjen, Frederik
Plötze, Katrin
Malberg, Hagen
Matschke, Klaus
Zaunseder, Sebastian
Maier-Hein, Klaus Hermann
Deserno, Thomas Martin
Handels, Heinz
Tolxdorff, Thomas
Universität Augsburg
Springer

Time of origin

2017

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Skin detection and tracking for camera-based photoplethysmography using a Bayesian classifier and level set segmentation

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Time of origin

Other Objects (12)

Mess- und Analyseverfahren für das medizinische Monitoring

Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection

Validation of skin perfusion monitoring by imaging PPG versus laser speckle imaging

Skin segmentation using active contours and Gaussian mixture models for heart rate detection in videos

Additively manufactured pneumatically driven skin electrodes

Data-based Therapy Recommender Systems

CinC challenge - assessing the usability of ECG by ensemble decision trees

Cascaded output selection for processing of capacitive electrocardiograms by means of independent component analysis

Spatio-temporal analysis of blood perfusion by imaging photoplethysmography

Vasomotor assessment by camera-based photoplethysmography

Specializing CNN models for sleep staging based on heart rate

QRS pattern recognition using a simple clustering approach for continuous data

Mess- und Analyseverfahren für das medizinische Monitoring

Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection

Validation of skin perfusion monitoring by imaging PPG versus laser speckle imaging

Skin segmentation using active contours and Gaussian mixture models for heart rate detection in videos

Additively manufactured pneumatically driven skin electrodes

Data-based Therapy Recommender Systems

CinC challenge - assessing the usability of ECG by ensemble decision trees

Cascaded output selection for processing of capacitive electrocardiograms by means of independent component analysis

Spatio-temporal analysis of blood perfusion by imaging photoplethysmography

Vasomotor assessment by camera-based photoplethysmography

Specializing CNN models for sleep staging based on heart rate

QRS pattern recognition using a simple clustering approach for continuous data

Mess- und Analyseverfahren für das medizinische Monitoring

Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection

Validation of skin perfusion monitoring by imaging PPG versus laser speckle imaging

Skin segmentation using active contours and Gaussian mixture models for heart rate detection in videos

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CinC challenge - assessing the usability of ECG by ensemble decision trees

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Vasomotor assessment by camera-based photoplethysmography

Specializing CNN models for sleep staging based on heart rate

QRS pattern recognition using a simple clustering approach for continuous data

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