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KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

Publications associées (38)

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Imaging Photoplethysmography: What are the Best Locations on the Face to Estimate Heart Rate?

Jean-Marc Vesin, Sibylle Fallet, Fabian Braun, Virginie Moser

The potential of imaging photoplethysmography for cardiovascular monitoring applications has been demonstrated recently. Various processing schemes have been proposed to extract heart rate (HR) from a defined region of interest (ROI) on the face. However, ...

2016

The impact of privacy protection filters on gender recognition

Touradj Ebrahimi

Deep learning-based algorithms have become increasingly efficient in recognition and detection tasks, especially when they are trained on large-scale datasets. Such recent success has led to a speculation that deep learning methods are comparable to or eve ...

2015

Quantification of brain glucose metabolism by 18F-FDG PET with real-time arterial and image-derived input function in mice

Malte Alf

Kinetic modeling of PET data derived from mouse models remains hampered by the technical inaccessibility of an accurate input function (IF). In this work, we tested the feasibility of IF measurement with an arteriovenous shunt and a coincidence counter in ...

Soc Nuclear Medicine Inc2013

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This paper describes the development of a polyimide/SU-8 catheter-tip MEMS gauge pressure sensor. Finite element analysis was used to investigate critical parameters, impacting on the device design and sensing characteristics. The sensing element of the de ...

Springer2012

Mapping biological ideas: Concept maps as knowledge integration tools for evolution education

Beat Adrian Schwendimann

Many students leave school with a fragmented understanding of biology that does not allow them to connect their ideas to their everyday lives (Wandersee, 1989; Mintzes, Wandersee, & Novak, 1998; Mintzes, Wandersee, & Novak, 2000a). Understanding evolution ...

University of California, Berkeley2011

Knowledge-based Extraction of Area of Expertise for Cooperation in Learning

Roland Siegwart, Masoud Asadpour

Using each other's knowledge and expertise in learning - what we call cooperation in learning- is one of the major existing methods to reduce the number of learning trials, which is quite crucial for real world applications. In situated systems, robots bec ...

2007

Expertness Measuring in Cooperative Learning

Masoud Asadpour

Cooperative Learning in a multi-agent system can improve the learning quality and learning speed. The improvement can be gained if each agent detects the expert agents and use their knowledge properly. In this paper, a new cooperative learning method, call ...

2000

Effect of mental stress on the tone of a medium-sized muscular artery

Jean-Jacques Meister

AIM: We studied the effects of mental stress on the tone of the radial artery, a medium-sized muscular artery. METHODS: Using an A-mode echo-tracking device coupled to a photoplethysmograph, we took continuous measurements of the radial artery diameter, he ...

1992