A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis

One of the symptoms of Parkinson’s disease is the occurrence of problems with the expression of emotions on the face, called facial masking, facial bradykinesia or hypomimia. Recent medical studies show that this symptom can be used in the diagnosis of this disease. In the presented study, the autho...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jacek Jakubowski, Anna Potulska-Chromik, Kamila Białek, Monika Nojszewska, Anna Kostera-Pruszczyk
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Parkinson’s disease image analysis convolutional networks Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/ea6c8f348eac4a97a55d0f4047a4e301
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ea6c8f348eac4a97a55d0f4047a4e301
record_format	dspace
spelling	oai:doaj.org-article:ea6c8f348eac4a97a55d0f4047a4e3012021-11-25T17:25:05ZA Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis10.3390/electronics102228322079-9292https://doaj.org/article/ea6c8f348eac4a97a55d0f4047a4e3012021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2832https://doaj.org/toc/2079-9292One of the symptoms of Parkinson’s disease is the occurrence of problems with the expression of emotions on the face, called facial masking, facial bradykinesia or hypomimia. Recent medical studies show that this symptom can be used in the diagnosis of this disease. In the presented study, the authors, on the basis of their own research, try to answer the question of whether it is possible to build an automatic Parkinson’s disease recognition system based on the face image. The research used image recordings in the field of visible light and infrared. The material for the study consisted of registrations in a group of patients with Parkinson’s disease and a group of healthy patients. The patients were asked to express a neutral facial expression and a smile. In the detection, both geometric and holistic methods based on the use of convolutional network and image fusion were used. The obtained results were assessed quantitatively using statistical measures, including <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>F</mi><mn>1</mn></msub><mi>s</mi><mi>c</mi><mi>o</mi><mi>r</mi><mi>e</mi></mrow></semantics></math></inline-formula>, which was a value of 0.941. The results were compared with a competitive work on the same subject. A novelty of our experiments is that patients with Parkinson’s disease were in the so-called ON phase, in which, due to the action of drugs, the symptoms of the disease are reduced. The results obtained seem to be useful in the process of early diagnosis of this disease, especially in times of remote medical examination.Jacek JakubowskiAnna Potulska-ChromikKamila BiałekMonika NojszewskaAnna Kostera-PruszczykMDPI AGarticleParkinson’s diseaseimage analysisconvolutional networksElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2832, p 2832 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Parkinson’s disease image analysis convolutional networks Electronics TK7800-8360
spellingShingle	Parkinson’s disease image analysis convolutional networks Electronics TK7800-8360 Jacek Jakubowski Anna Potulska-Chromik Kamila Białek Monika Nojszewska Anna Kostera-Pruszczyk A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
description	One of the symptoms of Parkinson’s disease is the occurrence of problems with the expression of emotions on the face, called facial masking, facial bradykinesia or hypomimia. Recent medical studies show that this symptom can be used in the diagnosis of this disease. In the presented study, the authors, on the basis of their own research, try to answer the question of whether it is possible to build an automatic Parkinson’s disease recognition system based on the face image. The research used image recordings in the field of visible light and infrared. The material for the study consisted of registrations in a group of patients with Parkinson’s disease and a group of healthy patients. The patients were asked to express a neutral facial expression and a smile. In the detection, both geometric and holistic methods based on the use of convolutional network and image fusion were used. The obtained results were assessed quantitatively using statistical measures, including <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>F</mi><mn>1</mn></msub><mi>s</mi><mi>c</mi><mi>o</mi><mi>r</mi><mi>e</mi></mrow></semantics></math></inline-formula>, which was a value of 0.941. The results were compared with a competitive work on the same subject. A novelty of our experiments is that patients with Parkinson’s disease were in the so-called ON phase, in which, due to the action of drugs, the symptoms of the disease are reduced. The results obtained seem to be useful in the process of early diagnosis of this disease, especially in times of remote medical examination.
format	article
author	Jacek Jakubowski Anna Potulska-Chromik Kamila Białek Monika Nojszewska Anna Kostera-Pruszczyk
author_facet	Jacek Jakubowski Anna Potulska-Chromik Kamila Białek Monika Nojszewska Anna Kostera-Pruszczyk
author_sort	Jacek Jakubowski
title	A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
title_short	A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
title_full	A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
title_fullStr	A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
title_full_unstemmed	A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis
title_sort	study on the possible diagnosis of parkinson’s disease on the basis of facial image analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ea6c8f348eac4a97a55d0f4047a4e301
work_keys_str_mv	AT jacekjakubowski astudyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT annapotulskachromik astudyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT kamilabiałek astudyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT monikanojszewska astudyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT annakosterapruszczyk astudyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT jacekjakubowski studyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT annapotulskachromik studyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT kamilabiałek studyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT monikanojszewska studyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis AT annakosterapruszczyk studyonthepossiblediagnosisofparkinsonsdiseaseonthebasisoffacialimageanalysis
_version_	1718412443084914688

A Study on the Possible Diagnosis of Parkinson’s Disease on the Basis of Facial Image Analysis

Ejemplares similares