2018 |
Hariharan, M; Sindhu, R; Vijean, V; Yazid, H; Nadarajaw, T; Yaacob, S; Polat, K Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification Artikel Jurnal Computer Methods and Programs in Biomedicine, 155 , hlm. 39-51, 2018, ISSN: 01692607, (dipetik oleh 21). Abstrak | Pautan | BibTeX | Tag: Accidents, Algoritma, Artikel, Artificial Neural Network, Asphyxia, Binary Dragonfly Optimization Aalgorithm, Pengelasan (maklumat), Classification Algorithm, Pengelas, Coding, Computer-Assisted, Constants and Coefficients, Crying, Database Systems, Databases, Deafness, Diagnosis, Energy, Entropy, Pengekstrakan, Extreme Learning Machine, Factual, Factual Database, Pengekstrakan Ciri, Kaedah Pemilihan Ciri, Fuzzy System, Hearing Impairment, Manusia, Kelaparan, Bayi, Infant Cry, Infant Cry Classifications, Jaundice, Kernel Method, Belajar, Linear Predictive Coding, Pembelajaran Mesin, Mathematical Transformations, Mel Frequency Cepstral Coefficient, Pekali Cepstral Frekuensi Mel, Multi-Class Classification, Rangkaian Neural, Nonlinear Dynamics, Nonlinear System, Optimization, Pain, Patofisiologi, Prematurity, Kebolehulangan, Kebolehulangan Keputusan, Pemprosesan isyarat, Pengenalan suara, Wavelet Analysis, Wavelet Packet, Paket Wavelet Berubah @artikel{Hariharan201839, tajuk = {Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification}, pengarang = {M Hariharan and R Sindhu and V Vijean and H Yazid and T Nadarajaw and S Yaacob and K Polat}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036611215&doi=10.1016%2fj.cmpb.2017.11.021&rakan kongsi = 40&md5=1f3b17817b00f07cadad6eb61c0f4bf9}, doi = {10.1016/j.cmpb.2017.11.021}, terbitan = {01692607}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Computer Methods and Programs in Biomedicine}, isi padu = {155}, halaman = {39-51}, penerbit = {Elsevier Ireland Ltd}, abstrak = {Background and objective Infant cry signal carries several levels of information about the reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status (asphyxia, deaf, jaundice, premature condition and autism, etc.) of an infant and therefore suited for early diagnosis. Dalam kerja ini, combination of wavelet packet based features and Improved Binary Dragonfly Optimization based feature selection method was proposed to classify the different types of infant cry signals. Methods Cry signals from 2 different databases were utilized. First database contains 507 cry samples of normal (N), 340 cry samples of asphyxia (A), 879 cry samples of deaf (D), 350 cry samples of hungry (H) dan 192 cry samples of pain (P). Second database contains 513 cry samples of jaundice (J), 531 samples of premature (Prem) dan 45 samples of normal (N). Wavelet packet transform based energy and non-linear entropies (496 ciri-ciri), Linear Predictive Coding (LPC) based cepstral features (56 ciri-ciri), Mel-frequency Cepstral Coefficients (MFCCs) were extracted (16 ciri-ciri). The combined feature set consists of 568 ciri-ciri. To overcome the curse of dimensionality issue, improved binary dragonfly optimization algorithm (IBDFO) was proposed to select the most salient attributes or features. Akhirnya, Extreme Learning Machine (ELM) kernel classifier was used to classify the different types of infant cry signals using all the features and highly informative features as well. Results Several experiments of two-class and multi-class classification of cry signals were conducted. In binary or two-class experiments, maximum accuracy of 90.18% for H Vs P, 100% for A Vs N, 100% for D Vs N and 97.61% J Vs Prem was achieved using the features selected (only 204 features out of 568) by IBDFO. For the classification of multiple cry signals (multi-class problem), the selected features could differentiate between three classes (N, A & D) with the accuracy of 100% and seven classes with the accuracy of 97.62%. Conclusion The experimental results indicated that the proposed combination of feature extraction and selection method offers suitable classification accuracy and may be employed to detect the subtle changes in the cry signals. © 2017 Elsevier B.V.}, nota = {dipetik oleh 21}, kata kunci = {Accidents, Algoritma, Artikel, Artificial Neural Network, Asphyxia, Binary Dragonfly Optimization Aalgorithm, Pengelasan (maklumat), Classification Algorithm, Pengelas, Coding, Computer-Assisted, Constants and Coefficients, Crying, Database Systems, Databases, Deafness, Diagnosis, Energy, Entropy, Pengekstrakan, Extreme Learning Machine, Factual, Factual Database, Pengekstrakan Ciri, Kaedah Pemilihan Ciri, Fuzzy System, Hearing Impairment, Manusia, Kelaparan, Bayi, Infant Cry, Infant Cry Classifications, Jaundice, Kernel Method, Belajar, Linear Predictive Coding, Pembelajaran Mesin, Mathematical Transformations, Mel Frequency Cepstral Coefficient, Pekali Cepstral Frekuensi Mel, Multi-Class Classification, Rangkaian Neural, Nonlinear Dynamics, Nonlinear System, Optimization, Pain, Patofisiologi, Prematurity, Kebolehulangan, Kebolehulangan Keputusan, Pemprosesan isyarat, Pengenalan suara, Wavelet Analysis, Wavelet Packet, Paket Wavelet Berubah}, pubstate = {diterbitkan}, tppubtype = {artikel} } Background and objective Infant cry signal carries several levels of information about the reason for crying (hunger, pain, sleepiness and discomfort) or the pathological status (asphyxia, deaf, jaundice, premature condition and autism, etc.) of an infant and therefore suited for early diagnosis. Dalam kerja ini, combination of wavelet packet based features and Improved Binary Dragonfly Optimization based feature selection method was proposed to classify the different types of infant cry signals. Methods Cry signals from 2 different databases were utilized. First database contains 507 cry samples of normal (N), 340 cry samples of asphyxia (A), 879 cry samples of deaf (D), 350 cry samples of hungry (H) dan 192 cry samples of pain (P). Second database contains 513 cry samples of jaundice (J), 531 samples of premature (Prem) dan 45 samples of normal (N). Wavelet packet transform based energy and non-linear entropies (496 ciri-ciri), Linear Predictive Coding (LPC) based cepstral features (56 ciri-ciri), Mel-frequency Cepstral Coefficients (MFCCs) were extracted (16 ciri-ciri). The combined feature set consists of 568 ciri-ciri. To overcome the curse of dimensionality issue, improved binary dragonfly optimization algorithm (IBDFO) was proposed to select the most salient attributes or features. Akhirnya, Extreme Learning Machine (ELM) kernel classifier was used to classify the different types of infant cry signals using all the features and highly informative features as well. Results Several experiments of two-class and multi-class classification of cry signals were conducted. In binary or two-class experiments, maximum accuracy of 90.18% for H Vs P, 100% for A Vs N, 100% for D Vs N and 97.61% J Vs Prem was achieved using the features selected (only 204 features out of 568) by IBDFO. For the classification of multiple cry signals (multi-class problem), the selected features could differentiate between three classes (N, A & D) with the accuracy of 100% and seven classes with the accuracy of 97.62%. Conclusion The experimental results indicated that the proposed combination of feature extraction and selection method offers suitable classification accuracy and may be employed to detect the subtle changes in the cry signals. © 2017 Elsevier B.V. |
Thu, Tidak H; Hussain, DENGAN; Shuid, A N Current Drug Targets, 19 (8), hlm. 865-876, 2018, ISSN: 13894501, (dipetik oleh 2). Abstrak | Pautan | BibTeX | Tag: Amisulpride, Amitriptyline, Haiwan, Antipsychotic Agents, Keresahan, Aripiprazole, Autisme, Bioavailability, Biological Availability, Bipolar Disorder, Buspirone, Kimia, Clonazepam, Clozapine, Kemurungan, Diazepam, Drug Delivery System, Drug Delivery Systems, Duloxetine, Half Life Time, Half-Life, Penjagaan Kesihatan, Manusia, Iloperidone, In Vitro Study, In Vivo Study, Mental Disease, Gangguan Mental, Midazolam, Nanotechnology, Neuroleptic Agent, Olanzapine, Patofisiologi, Kebolehtelapan, Physical Chemistry, Psychosis, Kaji semula, Risperidone, Skizofrenia, Solubility, Sulpiride, Hasil Rawatan, Venlafaxine, Ziprasidone @artikel{EiThu2018865, tajuk = {New insight in improving therapeutic efficacy of antipsychotic agents: An overview of improved in vitro and in vivo performance, efficacy upgradation and future prospects}, pengarang = {H Ei Thu and Z Hussain and A N Shuid}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048981535&doi=10.2174%2f1389450117666161125174625&rakan kongsi = 40&md5=d32e5bc9766ff9d68dd79f082b9ca4bc}, doi = {10.2174/1389450117666161125174625}, terbitan = {13894501}, tahun = {2018}, tarikh = {2018-01-01}, jurnal = {Current Drug Targets}, isi padu = {19}, nombor = {8}, halaman = {865-876}, penerbit = {Bentham Science Publishers B.V.}, abstrak = {Psychotic disorders are recognized as severe mental disorders that rigorously affect pa-tient’s personality, critical thinking, and perceptional ability. High prevalence, global dissemination and limitations of conventional pharmacological approaches compel a significant burden to the patient, medical professionals and the healthcare system. Sehingga kini, numerous orally administered therapies are available for the management of depressive disorders, schizophrenia, kegelisahan, bipolar disorders and autism spectrum problems. Walau bagaimanapun, poor water solubility, erratic oral absorption, extensive first-pass metabolism, low oral bioavailability and short half-lives are the major factors which limit the pharmaceutical significance and therapeutic feasibility of these agents. In recent decades, nanotechnology-based delivery systems have gained remarkable attention of the researchers to mitigate the pharmaceutical issues related to the antipsychotic therapies and to optimize their oral drug delivery, therapeutic outcomes, and patient compliance. Oleh itu, the present review was aimed to summarize the available in vitro and in vivo evidences signifying the pharmaceutical importance of the advanced delivery systems in improving the aqueous solubility, transmembrane permeability, oral bioavailability and therapeutic outcome of the antipsychotic agents. © 2018 Bentham Science Publishers.}, nota = {dipetik oleh 2}, kata kunci = {Amisulpride, Amitriptyline, Haiwan, Antipsychotic Agents, Keresahan, Aripiprazole, Autisme, Bioavailability, Biological Availability, Bipolar Disorder, Buspirone, Kimia, Clonazepam, Clozapine, Kemurungan, Diazepam, Drug Delivery System, Drug Delivery Systems, Duloxetine, Half Life Time, Half-Life, Penjagaan Kesihatan, Manusia, Iloperidone, In Vitro Study, In Vivo Study, Mental Disease, Gangguan Mental, Midazolam, Nanotechnology, Neuroleptic Agent, Olanzapine, Patofisiologi, Kebolehtelapan, Physical Chemistry, Psychosis, Kaji semula, Risperidone, Skizofrenia, Solubility, Sulpiride, Hasil Rawatan, Venlafaxine, Ziprasidone}, pubstate = {diterbitkan}, tppubtype = {artikel} } Psychotic disorders are recognized as severe mental disorders that rigorously affect pa-tient’s personality, critical thinking, and perceptional ability. High prevalence, global dissemination and limitations of conventional pharmacological approaches compel a significant burden to the patient, medical professionals and the healthcare system. Sehingga kini, numerous orally administered therapies are available for the management of depressive disorders, schizophrenia, kegelisahan, bipolar disorders and autism spectrum problems. Walau bagaimanapun, poor water solubility, erratic oral absorption, extensive first-pass metabolism, low oral bioavailability and short half-lives are the major factors which limit the pharmaceutical significance and therapeutic feasibility of these agents. In recent decades, nanotechnology-based delivery systems have gained remarkable attention of the researchers to mitigate the pharmaceutical issues related to the antipsychotic therapies and to optimize their oral drug delivery, therapeutic outcomes, and patient compliance. Oleh itu, the present review was aimed to summarize the available in vitro and in vivo evidences signifying the pharmaceutical importance of the advanced delivery systems in improving the aqueous solubility, transmembrane permeability, oral bioavailability and therapeutic outcome of the antipsychotic agents. © 2018 Bentham Science Publishers. |
2017 |
Hasan, C Z C; Jailani, R; Tahir, Md N; Ilias, S Analisis daya tindak balas tanah tiga dimensi semasa berjalan pada kanak-kanak dengan gangguan spektrum autisme Artikel Jurnal Penyelidikan Ketidakupayaan Pembangunan, 66 , hlm. 55-63, 2017, ISSN: 08914222, (dipetik oleh 8). Abstrak | Pautan | BibTeX | Tag: Taburan Umur, Artikel, Autisme, Gangguan Spektrum Autisme, Fenomena Biomekanikal, Biomekanik, Keseimbangan Badan, Tinggi Badan, Berat badan, Berat badan, Anak-anak, Artikel Klinikal, Kajian Terkawal, Penilaian Penyakit, Perempuan, Langkah, Analisis Gait, Gangguan Gaya Berjalan, Angkatan Tindak Balas Tanah, Manusia, Pengimejan, Panjang Kaki, Malaysia, Lelaki, Pemeriksaan Neurologi, Patofisiologi, Fisiologi, Keseimbangan Postur, Prosedur, Psikologi, Statistik, Tiga Dimensi, Pengimejan Tiga Dimensi, Daya Tindak Balas Tanah Tiga Dimensi, berjalan @artikel{Hasan201755, tajuk = {Analisis daya tindak balas tanah tiga dimensi semasa berjalan pada kanak-kanak dengan gangguan spektrum autisme}, pengarang = {C Z C Hasan and R Jailani and N Md Tahir and S Ilias}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015640386&doi = 10.1016% 2fj.ridd.2017.02.015&rakan kongsi = 40&md5=d6a9839cda7f62bcce9bdcca33d3d33b}, doi = {10.1016/j.ridd.2017.02.015}, terbitan = {08914222}, tahun = {2017}, tarikh = {2017-01-01}, jurnal = {Penyelidikan Ketidakupayaan Pembangunan}, isi padu = {66}, halaman = {55-63}, penerbit = {Elsevier Inc.}, abstrak = {Maklumat minimum diketahui tentang tiga dimensi (3D) daya tindak balas tanah (GRF) mengenai corak gaya berjalan individu yang mengalami gangguan spektrum autisme (ASD). Tujuan kajian ini adalah untuk menyiasat sama ada komponen GRF 3D berbeza secara signifikan antara kanak-kanak dengan ASD dan kawalan rakan sebaya.. 15 kanak-kanak dengan ASD dan 25 biasanya berkembang (TD) kanak-kanak telah mengambil bahagian dalam kajian ini. Dua plat daya digunakan untuk mengukur data GRF 3D semasa berjalan. Teknik parameterisasi siri masa telah digunakan untuk mengekstrak 17 ciri diskret daripada bentuk gelombang GRF 3D. Dengan menggunakan ujian-t bebas dan ujian Mann-Whitney U, perbezaan yang ketara (hlm < 0.05) between the ASD and TD groups were found for four GRF features. Children with ASD demonstrated higher maximum braking force, lower relative time to maximum braking force, and lower relative time to zero force during mid-stance. Children with ASD were also found to have reduced the second peak of vertical GRF in the terminal stance. These major findings suggest that children with ASD experience significant difficulties in supporting their body weight and endure gait instability during the stance phase. The findings of this research are useful to both clinicians and parents who wish to provide these children with appropriate treatments and rehabilitation programs. © 2017 Elsevier Ltd}, nota = {dipetik oleh 8}, kata kunci = {Taburan Umur, Artikel, Autisme, Gangguan Spektrum Autisme, Fenomena Biomekanikal, Biomekanik, Keseimbangan Badan, Tinggi Badan, Berat badan, Berat badan, Anak-anak, Artikel Klinikal, Kajian Terkawal, Penilaian Penyakit, Perempuan, Langkah, Analisis Gait, Gangguan Gaya Berjalan, Angkatan Tindak Balas Tanah, Manusia, Pengimejan, Panjang Kaki, Malaysia, Lelaki, Pemeriksaan Neurologi, Patofisiologi, Fisiologi, Keseimbangan Postur, Prosedur, Psikologi, Statistik, Tiga Dimensi, Pengimejan Tiga Dimensi, Daya Tindak Balas Tanah Tiga Dimensi, berjalan}, pubstate = {diterbitkan}, tppubtype = {artikel} } Maklumat minimum diketahui tentang tiga dimensi (3D) daya tindak balas tanah (GRF) mengenai corak gaya berjalan individu yang mengalami gangguan spektrum autisme (ASD). Tujuan kajian ini adalah untuk menyiasat sama ada komponen GRF 3D berbeza secara signifikan antara kanak-kanak dengan ASD dan kawalan rakan sebaya.. 15 kanak-kanak dengan ASD dan 25 biasanya berkembang (TD) kanak-kanak telah mengambil bahagian dalam kajian ini. Dua plat daya digunakan untuk mengukur data GRF 3D semasa berjalan. Teknik parameterisasi siri masa telah digunakan untuk mengekstrak 17 ciri diskret daripada bentuk gelombang GRF 3D. Dengan menggunakan ujian-t bebas dan ujian Mann-Whitney U, perbezaan yang ketara (hlm < 0.05) antara kumpulan ASD dan TD didapati untuk empat ciri GRF. Kanak-kanak dengan ASD menunjukkan daya brek maksimum yang lebih tinggi, masa relatif lebih rendah kepada daya brek maksimum, dan masa relatif lebih rendah kepada daya sifar semasa berdiri pertengahan. Kanak-kanak dengan ASD juga didapati telah mengurangkan puncak kedua GRF menegak dalam pendirian terminal. Penemuan utama ini mencadangkan bahawa kanak-kanak dengan ASD mengalami kesukaran yang ketara dalam menyokong berat badan mereka dan menanggung ketidakstabilan gaya berjalan semasa fasa berdiri.. Penemuan penyelidikan ini berguna kepada kedua-dua doktor dan ibu bapa yang ingin menyediakan kanak-kanak ini dengan rawatan dan program pemulihan yang sesuai. © 2017 Elsevier Ltd. |
2016 |
Sheppard, E; Pillai, D; Wong, G T -L; Panggil, D; Mitchell, P How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Artikel Jurnal Jurnal Autisme dan Gangguan Perkembangan, 46 (4), hlm. 1247-1254, 2016, ISSN: 01623257, (dipetik oleh 37). Abstrak | Pautan | BibTeX | Tag: Remaja, Dewasa, Artikel, Autisme, Gangguan Spektrum Autisme, Membuat keputusan, Emosi, Ekspresi wajah, Perempuan, Manusia, Lelaki, Kesihatan mental, Perhubungan tanpa percakapan, Patofisiologi, Jurnal Keutamaan, Psikologi, Video Recording, Dewasa Muda @artikel{Sheppard20161247, tajuk = {How Easy is it to Read the Minds of People with Autism Spectrum Disorder?}, pengarang = {E Sheppard and D Pillai and G T -L Wong and D Ropar and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961215349&doi=10.1007%2fs10803-015-2662-8&rakan kongsi = 40&md5=d39b6bdebe3c2f33e304eb4d4c09b6fd}, doi = {10.1007/s10803-015-2662-8}, terbitan = {01623257}, tahun = {2016}, tarikh = {2016-01-01}, jurnal = {Jurnal Autisme dan Gangguan Perkembangan}, isi padu = {46}, nombor = {4}, halaman = {1247-1254}, penerbit = {Springer New York LLC}, abstrak = {How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science + Business Media New York.}, nota = {dipetik oleh 37}, kata kunci = {Remaja, Dewasa, Artikel, Autisme, Gangguan Spektrum Autisme, Membuat keputusan, Emosi, Ekspresi wajah, Perempuan, Manusia, Lelaki, Kesihatan mental, Perhubungan tanpa percakapan, Patofisiologi, Jurnal Keutamaan, Psikologi, Video Recording, Dewasa Muda}, pubstate = {diterbitkan}, tppubtype = {artikel} } How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science + Business Media New York. |
2014 |
Batt, S; Acharya, U R; Adeli, H; Tenusu, G M; Adeli, A Automated diagnosis of autism: In search of a mathematical marker Artikel Jurnal Reviews in the Neurosciences, 25 (6), hlm. 851-861, 2014, ISSN: 03341763, (dipetik oleh 34). Abstrak | Pautan | BibTeX | Tag: Algoritma, Artikel, Autisme, Gangguan Spektrum Autisme, Automasi, Biological Model, Otak, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Elektroencephalogram, Elektroensefalografi, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Manusia, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Patofisiologi, Jurnal Keutamaan, Prosedur, Pemprosesan isyarat, Model Statistik, Masa, Time Frequency Analysis, Wavelet Analysis @artikel{Bhat2014851, tajuk = {Automated diagnosis of autism: In search of a mathematical marker}, pengarang = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925286949&doi=10.1515%2frevneuro-2014-0036&rakan kongsi = 40&md5=04858a5c9860e9027e3113835ca2e11f}, doi = {10.1515/revneuro-2014-0036}, terbitan = {03341763}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {Reviews in the Neurosciences}, isi padu = {25}, nombor = {6}, halaman = {851-861}, penerbit = {Walter de Gruyter GmbH}, abstrak = {Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (LIHAT). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH.}, nota = {dipetik oleh 34}, kata kunci = {Algoritma, Artikel, Autisme, Gangguan Spektrum Autisme, Automasi, Biological Model, Otak, Chaos Theory, Correlation Analysis, Detrended Fluctuation Analysis, Disease Marker, Electrode, Elektroencephalogram, Elektroensefalografi, Entropy, Fourier Transformation, Fractal Analysis, Frequency Domain Analysis, Manusia, Mathematical Analysis, Mathematical Marker, Mathematical Parameters, Models, Neurologic Disease, Neurological, Nonlinear Dynamics, Nonlinear System, Patofisiologi, Jurnal Keutamaan, Prosedur, Pemprosesan isyarat, Model Statistik, Masa, Time Frequency Analysis, Wavelet Analysis}, pubstate = {diterbitkan}, tppubtype = {artikel} } Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (LIHAT). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-theart review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEGbased diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder. © 2014 Walter de Gruyter GmbH. |
Karim, S; Mirza, DENGAN; Kamal, M A; Abuzenadah, Seorang M; Azhar, E Saya; Al-Qahtani, M H; Damanhouri, G A; Ahmad, F; Gan, S H; Sohrab, S S The role of viruses in neurodegenerative and neurobehavioral diseases Artikel Jurnal CNS and Neurological Disorders - Drug Targets, 13 (7), hlm. 1213-1223, 2014, ISSN: 18715273, (dipetik oleh 12). Abstrak | Pautan | BibTeX | Tag: Alzheimer Disease, Amyotrophic Lateral Sclerosis, Haiwan, Artikel, Autisme, Beta Interferon, Borna Disease Virus, Cytomegalovirus, Degenerative Disease, Persatuan Penyakit, Enterovirus, Epstein Barr virus, Hepatitis Virus, Herpes Simplex Virus, HIV Associated Dementia, Manusia, Sistem Imun, Keradangan, Influenza Virus, Influenza Virus A H5N1, Mental Disease, Gangguan Mental, Multiple Sclerosis, Nerve Cell Degeneration, Neurodegenerative Diseases, Bukan Manusia, Parkinson Disease, Patofisiologi, Picornavirus, Roseolovirus, Varicella Zoster Virus, Virology, Virus Infection, Virus Pathogenesis, Virus Transmission, West Nile Flavivirus @artikel{Karim20141213, tajuk = {The role of viruses in neurodegenerative and neurobehavioral diseases}, pengarang = {S Karim and Z Mirza and M A Kamal and A M Abuzenadah and E I Azhar and M H Al-Qahtani and G A Damanhouri and F Ahmad and S H Gan and S S Sohrab}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911396470&doi=10.2174%2f187152731307141015122638&rakan kongsi = 40&md5=7564c64b2fe5d0737f83e65e1fdff60a}, doi = {10.2174/187152731307141015122638}, terbitan = {18715273}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {CNS and Neurological Disorders - Drug Targets}, isi padu = {13}, nombor = {7}, halaman = {1213-1223}, penerbit = {Bentham Science Publishers B.V.}, abstrak = {Neurodegenerative and neurobehavioral diseases may be caused by chronic and neuropathic viral infections and may result in a loss of neurons and axons in the central nervous system that increases with age. Sehingga kini, there is evidence of systemic viral infections that occur with some neurodegenerative conditions such as Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, multiple sclerosis, autism spectrum disorders, and HIV-associated neurocognitive disorders. With increasing lifespan, the incidence of neurodegenerative diseases increases consistently. Neurodegenerative diseases affect approximately 37 million people worldwide and are an important cause of mortality. In addition to established non-viral-induced reasons for neurodegenerative diseases, neuropathic infections and viruses associated with neurodegenerative diseases have been proposed. Neuronal degeneration can be either directly or indirectly affected by viral infection. Viruses that attack the human immune system can also affect the nervous system and interfere with classical pathways of neurodegenerative diseases. Viruses can enter the central nervous system, but the exact mechanism cannot be understood well. Various studies have supported viral- and non-viral-mediated neurodegeneration at the cellular, molecular, genomic and proteomic levels. The main focus of this review is to illustrate the association between viral infections and both neurodegenerative and neurobehavioral diseases, so that the possible mechanism and pathway of neurodegenerative diseases can be better explained. This information will strengthen new concepts and ideas for neurodegenerative and neurobehavioral disease treatment. © 2014 Bentham Science Publishers.}, nota = {dipetik oleh 12}, kata kunci = {Alzheimer Disease, Amyotrophic Lateral Sclerosis, Haiwan, Artikel, Autisme, Beta Interferon, Borna Disease Virus, Cytomegalovirus, Degenerative Disease, Persatuan Penyakit, Enterovirus, Epstein Barr virus, Hepatitis Virus, Herpes Simplex Virus, HIV Associated Dementia, Manusia, Sistem Imun, Keradangan, Influenza Virus, Influenza Virus A H5N1, Mental Disease, Gangguan Mental, Multiple Sclerosis, Nerve Cell Degeneration, Neurodegenerative Diseases, Bukan Manusia, Parkinson Disease, Patofisiologi, Picornavirus, Roseolovirus, Varicella Zoster Virus, Virology, Virus Infection, Virus Pathogenesis, Virus Transmission, West Nile Flavivirus}, pubstate = {diterbitkan}, tppubtype = {artikel} } Neurodegenerative and neurobehavioral diseases may be caused by chronic and neuropathic viral infections and may result in a loss of neurons and axons in the central nervous system that increases with age. Sehingga kini, there is evidence of systemic viral infections that occur with some neurodegenerative conditions such as Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, multiple sclerosis, autism spectrum disorders, and HIV-associated neurocognitive disorders. With increasing lifespan, the incidence of neurodegenerative diseases increases consistently. Neurodegenerative diseases affect approximately 37 million people worldwide and are an important cause of mortality. In addition to established non-viral-induced reasons for neurodegenerative diseases, neuropathic infections and viruses associated with neurodegenerative diseases have been proposed. Neuronal degeneration can be either directly or indirectly affected by viral infection. Viruses that attack the human immune system can also affect the nervous system and interfere with classical pathways of neurodegenerative diseases. Viruses can enter the central nervous system, but the exact mechanism cannot be understood well. Various studies have supported viral- and non-viral-mediated neurodegeneration at the cellular, molecular, genomic and proteomic levels. The main focus of this review is to illustrate the association between viral infections and both neurodegenerative and neurobehavioral diseases, so that the possible mechanism and pathway of neurodegenerative diseases can be better explained. This information will strengthen new concepts and ideas for neurodegenerative and neurobehavioral disease treatment. © 2014 Bentham Science Publishers. |
Pillai, D; Sheppard, E; Panggil, D; Marsh, L; Pearson, A; Mitchell, P Using other minds as a window onto the world: Guessing what happened from clues in behaviour Artikel Jurnal Jurnal Autisme dan Gangguan Perkembangan, 44 (10), hlm. 2430-2439, 2014, ISSN: 01623257, (dipetik oleh 17). Abstrak | Pautan | BibTeX | Tag: Remaja, Dewasa, Artikel, Autisme, Gangguan Perkembangan Kanak-kanak, Anak-anak, Artikel Klinikal, Kognisi, Kajian Terkawal, Pergerakan Mata, Eye Tracking, Ekspresi wajah, Gaze, Manusia, Intelligence Quotient, Lelaki, Measurement Accuracy, Mouth, Patofisiologi, Meresap, Fisiologi, Aspek Psikologi, Psikologi, Retrodiction, Task Performance, Theory of Mind, Komunikasi Lisan, Video Recording, Videotape Recording, Dewasa Muda @artikel{Pillai20142430, tajuk = {Using other minds as a window onto the world: Guessing what happened from clues in behaviour}, pengarang = {D Pillai and E Sheppard and D Ropar and L Marsh and A Pearson and P Mitchell}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912053354&doi=10.1007%2fs10803-014-2106-x&rakan kongsi = 40&md5=c3396f6f468e37e253c657f998993859}, doi = {10.1007/s10803-014-2106-x}, terbitan = {01623257}, tahun = {2014}, tarikh = {2014-01-01}, jurnal = {Jurnal Autisme dan Gangguan Perkembangan}, isi padu = {44}, nombor = {10}, halaman = {2430-2439}, penerbit = {Springer New York LLC}, abstrak = {It has been proposed that mentalising involves retrodicting as well as predicting behaviour, by inferring previous mental states of a target. This study investigated whether retrodiction is impaired in individuals with autism spectrum disorders (ASD). Participants watched videos of real people reacting to the researcher behaving in one of four possible ways. Their task was to decide which of these four ‘‘scenarios’’ each person responded to. Participants’ eye movements were recorded. Participants with ASD were poorer than comparison participants at identifying the scenario to which people in the videos were responding. There were no group differences in time spent looking at the eyes or mouth. The findings imply those with ASD are impaired in using mentalising skills for retrodiction. © Springer Science+Business Media New York 2014.}, nota = {dipetik oleh 17}, kata kunci = {Remaja, Dewasa, Artikel, Autisme, Gangguan Perkembangan Kanak-kanak, Anak-anak, Artikel Klinikal, Kognisi, Kajian Terkawal, Pergerakan Mata, Eye Tracking, Ekspresi wajah, Gaze, Manusia, Intelligence Quotient, Lelaki, Measurement Accuracy, Mouth, Patofisiologi, Meresap, Fisiologi, Aspek Psikologi, Psikologi, Retrodiction, Task Performance, Theory of Mind, Komunikasi Lisan, Video Recording, Videotape Recording, Dewasa Muda}, pubstate = {diterbitkan}, tppubtype = {artikel} } It has been proposed that mentalising involves retrodicting as well as predicting behaviour, by inferring previous mental states of a target. This study investigated whether retrodiction is impaired in individuals with autism spectrum disorders (ASD). Participants watched videos of real people reacting to the researcher behaving in one of four possible ways. Their task was to decide which of these four ‘‘scenarios’’ each person responded to. Participants’ eye movements were recorded. Participants with ASD were poorer than comparison participants at identifying the scenario to which people in the videos were responding. There were no group differences in time spent looking at the eyes or mouth. The findings imply those with ASD are impaired in using mentalising skills for retrodiction. © Springer Science+Business Media New York 2014. |
2013 |
Mousavizadeh, K; Askari, M; Arian, H; Gorjipour, F; Nikpour, A R; Fesyen biasa, M; Aryani, THE; Kamalidehghan, B; Maroof, H R; Houshmand, M Association of human mtDNA mutations with autism in Iranian patients Artikel Jurnal Journal of Research in Medical Sciences, 18 (10), hlm. 926, 2013, ISSN: 17351995, (dipetik oleh 2). Pautan | BibTeX | Tag: Autisme, Artikel Klinikal, Kajian Terkawal, Gen, Gene Frequency, Gene Mutation, Gene Sequence, Persatuan Genetik, Risiko Genetik, Manusia, Surat, Mitochondrial DNA, Molecular Phylogeny, Patofisiologi, Titik Mutasi, Polymerase Chain Reaction @artikel{Mousavizadeh2013926, tajuk = {Association of human mtDNA mutations with autism in Iranian patients}, pengarang = {K Mousavizadeh and M Askari and H Arian and F Gorjipour and A R Nikpour and M Tavafjadid and O Aryani and B Kamalidehghan and H R Maroof and M Houshmand}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887270916&rakan kongsi = 40&md5=3922601b0364489a2b76d620316cc150}, terbitan = {17351995}, tahun = {2013}, tarikh = {2013-01-01}, jurnal = {Journal of Research in Medical Sciences}, isi padu = {18}, nombor = {10}, halaman = {926}, penerbit = {Isfahan University of Medical Sciences(IUMS)}, nota = {dipetik oleh 2}, kata kunci = {Autisme, Artikel Klinikal, Kajian Terkawal, Gen, Gene Frequency, Gene Mutation, Gene Sequence, Persatuan Genetik, Risiko Genetik, Manusia, Surat, Mitochondrial DNA, Molecular Phylogeny, Patofisiologi, Titik Mutasi, Polymerase Chain Reaction}, pubstate = {diterbitkan}, tppubtype = {artikel} } |
Ujianadminnaacuitm2020-05-28T06:49:14+00:00
2018 |
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification Artikel Jurnal Computer Methods and Programs in Biomedicine, 155 , hlm. 39-51, 2018, ISSN: 01692607, (dipetik oleh 21). |
Current Drug Targets, 19 (8), hlm. 865-876, 2018, ISSN: 13894501, (dipetik oleh 2). |
2017 |
Analisis daya tindak balas tanah tiga dimensi semasa berjalan pada kanak-kanak dengan gangguan spektrum autisme Artikel Jurnal Penyelidikan Ketidakupayaan Pembangunan, 66 , hlm. 55-63, 2017, ISSN: 08914222, (dipetik oleh 8). |
2016 |
How Easy is it to Read the Minds of People with Autism Spectrum Disorder? Artikel Jurnal Jurnal Autisme dan Gangguan Perkembangan, 46 (4), hlm. 1247-1254, 2016, ISSN: 01623257, (dipetik oleh 37). |
2014 |
Automated diagnosis of autism: In search of a mathematical marker Artikel Jurnal Reviews in the Neurosciences, 25 (6), hlm. 851-861, 2014, ISSN: 03341763, (dipetik oleh 34). |
The role of viruses in neurodegenerative and neurobehavioral diseases Artikel Jurnal CNS and Neurological Disorders - Drug Targets, 13 (7), hlm. 1213-1223, 2014, ISSN: 18715273, (dipetik oleh 12). |
Using other minds as a window onto the world: Guessing what happened from clues in behaviour Artikel Jurnal Jurnal Autisme dan Gangguan Perkembangan, 44 (10), hlm. 2430-2439, 2014, ISSN: 01623257, (dipetik oleh 17). |
2013 |
Association of human mtDNA mutations with autism in Iranian patients Artikel Jurnal Journal of Research in Medical Sciences, 18 (10), hlm. 926, 2013, ISSN: 17351995, (dipetik oleh 2). |