Luis Vilcahuaman

Prof. Luis Vilcahuaman

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2015
Verified
Book Chapter
Closed access
PDF file
Luis VilcahuamanLuis Vilcahuaman
Luis Vilcahuaman
RHR. Harba
R. Harba
RCR. Canals
R. Canals
MZMartha Lucia Zequera
Martha Lucia Zequera
CWC. Wilches
C. Wilches
HAH. Arbañil
H. Arbañil

1 August 2014
Verified
Conference Paper
Closed access
Luis VilcahuamanLuis Vilcahuaman
Luis Vilcahuaman
RHR. Harba
R. Harba
RCR. Canals
R. Canals
MZMartha Lucia Zequera
Martha Lucia Zequera
CWC. Wilches
C. Wilches
HAH. Arbañil
H. Arbañil
In diabetic foot, the occurrence of an ulcer is often associated with hyperthermia. Hyperthermia is defined as a temperature greater than 2.2 o C in a given region of one of the foot compared to the temperature of the same region of the contralateral foot. Unfortunately, hyperthermia is not yet assessed in current diabetic foot therapy. In this paper, we propose an easy way to detect a possible hyperthermia by using an infrared camera. A specific acquisition protocol of the thermal images is proposed. A dedicated image analysis is developed: it is composed of a contour detection of the 2 feet using the Chan and Vese active contour method associated to the ICP rigid registration technique. Among 85 type II diabetes persons recruited in the Dos de Mayo hospital in Lima, Peru, 9 individuals show significant hyperthermia. It is expected that the new possibility of detecting hyperthermia in hospitals or in diabetic health centers which is now available, thanks to the proposed method, will help in reducing foot ulcer occurrence for diabetic persons.

14 June 2022 in Open Research Europe
Verified
Journal Article
Open access
DBDoha Bouallal
Doha Bouallal
ABAsma Bougrine
Asma Bougrine
RHRachid Harba
Rachid Harba
RCRaphael Canals
Raphael Canals
HDHassan Douzi
Hassan Douzi
HAHugo Arbanil
Hugo Arbanil
In this paper, we provide details of a research database consisting of 415 multispectral images (thermal and RGB images) of plantar foot from healthy (125 images) and diabetic subjects (290 images). The healthy subjects were members of two research laboratories (PRISME in France and IRF-SIC in Morocco). The second group was composed of type II diabetic patients who participated in an acquisition campaign at the Hospital Nacional Dos de Mayo in Lima, Peru, as part of a study on the early detection of ulcers in patients with diabetic foot. The purpose of this article is to describe the recruitment and acquisition protocols as well as the equipment used to help other units create similar databases. Our database was created in the context of the European STANDUP Horizon 2020 project #777661, in which eight scientific research entities and high-tech companies partnered.

18 October 2016 in Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Verified
Conference Paper
Closed access
YLY. Liu
Y. Liu
APA. Polo
A. Polo
MZMartha Lucia Zequera
Martha Lucia Zequera
RHRachid Harba
Rachid Harba
RCRaphael Canals
Raphael Canals
YBY. Bello
Y. Bello
Prevention of serious diabetic foot complication like ulceration or infection is an important issue. As the development of thermal graphic technologies, foot temperature-guided avoidance therapy has been recommended. Doctors from Hospital National Dos de Mayo are studying on the risk of the diabetic foot passing from Grade 0 to Grade 1 in the Wagner Scale. This risk to develop ulcers is related to the temperature difference of corresponding area between left and right foot. Generally speaking, the diabetic foot with greater mean temperature difference has more potential to develop ulcers; especially, area whose temperature difference of more than 2.2°C is where doctors and patients must pay much attention to potential problems like ulceration or infection. A system in Visual Studio was developed taking the thermal images as input and producing image with absolute mean temperature difference of 7different regions or four plantar angiosomes as output. The program process contained essential medical image processing issues such as segmentation, location and regionalization, in which adapted algorithms were implemented. From a database of 85 patients provided only 60 were used due to the quality of acquisition.

1 January 2008
Verified
Book Chapter
Closed access
PDF file
SASmaïl Akkoul
Smaïl Akkoul
RLRoger Ledee
Roger Ledee
RLRemy Leconge
Remy Leconge
CLChristophe Leger
Christophe Leger
RHRachid Harba
Rachid Harba
Luis VilcahuamanLuis Vilcahuaman
Luis Vilcahuaman

1 May 2024 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
AAAsma Aferhane
Asma Aferhane
DBDoha Bouallal
Doha Bouallal
HDHassan Douzi
Hassan Douzi
RHRachid Harba
Rachid Harba
Luis VilcahuamanLuis Vilcahuaman
Luis Vilcahuaman
HAHugo Arbanil
Hugo Arbanil