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Synopsis
Nowadays, due to mental stress, a significant section of society is affected by depression. There may be several reasons for depression, especially in adults. As a different person has different symptoms, and its identification is a significant challenge. Most people feel shy to accept that they are suffering from depression, while others are unaware of their depressed mental health. The objective of this work is to design and develop a practical tool or model to diagnose depression. In this work, a hybrid system is designed and simulated for detecting depression using EEG features, and facial features as a biological feature give an accurate diagnosis. EEG (Electroencephalogram) is the most adaptive way that can reflect the actual mental state among all biological signals.
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Hybrid Depression Detection Framework Using BILSTM
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203200395
ISBN 13 : 9786203200393
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, due to mental stress, a significant section of society is affected by depression. There may be several reasons for depression, especially in adults. As a different person has different symptoms, and its identification is a significant challenge. Most people feel shy to accept that they are suffering from depression, while others are unaware of their depressed mental health. The objective of this work is to design and develop a practical tool or model to diagnose depression. In this work, a hybrid system is designed and simulated for detecting depression using EEG features, and facial features as a biological feature give an accurate diagnosis. EEG (Electroencephalogram) is the most adaptive way that can reflect the actual mental state among all biological signals. 84 pp. Englisch. N° de réf. du vendeur 9786203200393
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Hybrid Depression Detection Framework Using BILSTM : Detection and Diagnosis
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203200395
ISBN 13 : 9786203200393
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, due to mental stress, a significant section of society is affected by depression. There may be several reasons for depression, especially in adults. As a different person has different symptoms, and its identification is a significant challenge. Most people feel shy to accept that they are suffering from depression, while others are unaware of their depressed mental health. The objective of this work is to design and develop a practical tool or model to diagnose depression. In this work, a hybrid system is designed and simulated for detecting depression using EEG features, and facial features as a biological feature give an accurate diagnosis. EEG (Electroencephalogram) is the most adaptive way that can reflect the actual mental state among all biological signals. N° de réf. du vendeur 9786203200393
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Hybrid Depression Detection Framework Using BILSTM
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203200395
ISBN 13 : 9786203200393
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bin Abdul Hamid Danniel ShazmeerMy name is Danniel Shazmeer. I had completed my Master in Information Technology at City University of Malaysia. I enjoy meeting new people and finding ways to help them have an uplifting experience. I. N° de réf. du vendeur 452576004
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Hybrid Depression Detection Framework Using BILSTM
Edité par
LAP LAMBERT Academic Publishing Jan 2021, 2021
ISBN 10 : 6203200395
ISBN 13 : 9786203200393
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays, due to mental stress, a significant section of society is affected by depression. There may be several reasons for depression, especially in adults. As a different person has different symptoms, and its identification is a significant challenge. Most people feel shy to accept that they are suffering from depression, while others are unaware of their depressed mental health. The objective of this work is to design and develop a practical tool or model to diagnose depression. In this work, a hybrid system is designed and simulated for detecting depression using EEG features, and facial features as a biological feature give an accurate diagnosis. EEG (Electroencephalogram) is the most adaptive way that can reflect the actual mental state among all biological signals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9786203200393
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Hybrid Depression Detection Framework Using BILSTM | Detection and Diagnosis
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6203200395
ISBN 13 : 9786203200393
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Hybrid Depression Detection Framework Using BILSTM | Detection and Diagnosis | Danniel Shazmeer Bin Abdul Hamid (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203200393 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 119608069
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