Displaying publications 1 - 20 of 84 in total

Abstract:
Sort:
  1. Fulltext Verbal memory test performance in patients with bipolar I disorder attending a psychiatric clinic of a university hospital in Kuala Lumpur, Malaysia.
    Abdul Hamid Abdul Rahman, Shamsul Azhar Shah, Normala Ibrahim
    ASEAN Journal of Psychiatry, 2009;10(2):157-168.
    MyJurnal
    Objective: The study aims to determine pattern of verbal memory and learning impairment and its associated factors among patients with bipolar I disorder in a psychiatric clinic of a university hospital. Methods: A case control study comparing verbal memory test
    performance in 40 patients with bipolar I disorder to that of 40 healthy normal subjects using Rey Auditory Verbal Learning Test (RAVLT). The association between demographic, clinical
    characteristics and poor verbal memory performance were examined. Results: Up to 92% of patients with bipolar I disorder have impaired short term working memory in this hospital-based study. They also recalled fewer words in all the RAVLT trials and had difficulties
    learning the word list in comparison to that of normal healthy individuals. Verbal memory and learning impairment are observed in bipolar illness in the absence of active mood symptoms while duration and severity of illness are not found to have any effect on verbal memory and learning. Conclusion: There is consistent verbal memory and learning problems in individuals with bipolar I disorder and their presence in the absence of mania, depression and mixed symptoms during the course of the illness suggests a trait related deficit.

    Study site: Psychiatric Clinic, Pusat Perubatan Universiti Kebangsaan Malaysia (PPUKM)
    Matched MeSH terms: Memory, Short-Term
  2. Tualang honey supplement improves memory performance and hippocampal morphology in stressed ovariectomized rats
    Al-Rahbi B, Zakaria R, Othman Z, Hassan A, Mohd Ismail ZI, Muthuraju S
    Acta Histochem, 2014 Jan;116(1):79-88.
    PMID: 23810156 DOI: 10.1016/j.acthis.2013.05.004
    Recently, our research team has reported that Tualang honey was able to improve immediate memory in postmenopausal women comparable with that of estrogen progestin therapy. Therefore the aim of the present study was to examine the effects of Tualang honey supplement on hippocampal morphology and memory performance in ovariectomized (OVX) rats exposed to social instability stress. Female Sprague-Dawley rats were divided into six groups: (i) sham-operated controls, (ii) stressed sham-operated controls, (iii) OVX rats, (iv) stressed OVX rats, (v) stressed OVX rats treated with 17β-estradiol (E2), and (vi) stressed OVX rats treated with Tualang honey. These rats were subjected to social instability stress procedure followed by novel object recognition (NOR) test. Right brain hemispheres were subjected to Nissl staining. The number and arrangement of pyramidal neurons in regions of CA1, CA2, CA3 and the dentate gyrus (DG) were recorded. Two-way ANOVA analyses showed significant interactions between stress and OVX in both STM and LTM test as well as number of Nissl-positive cells in all hippocampal regions. Both E2 and Tualang honey treatments improved both short-term and long-term memory and enhanced the neuronal proliferation of hippocampal CA2, CA3 and DG regions compared to that of untreated stressed OVX rats.
    Matched MeSH terms: Memory, Short-Term*
  3. Protective effect of treatment with black cumin oil on spatial cognitive functions of rats that suffered global cerebrovascular hypoperfusion
    Azzubaidi MS, Saxena AK, Talib NA, Ahmed QU, Dogarai BB
    Acta Neurobiol Exp (Wars), 2012;72(2):154-65.
    PMID: 22810217
    The fixed oil of black cumin seeds, Nigella sativa L. (NSO), has shown considerable antioxidant and anti-inflammatory activities. Chronic cerebral hypoperfusion has been linked to neurodegenerative disorders including Alzheimer's disease (AD) and its subsequent cognitive impairment in which oxidative stress and neuroinflammation are the principal culprits. Cerebrovascular hypoperfusion was experimentally achieved by bilateral common carotid arteries occlusion (2VO) in rats. Morris water maze (MWM) test was employed to assess the effects of NSO on spatial cognitive function before and after 2VO intervention. Rats were divided into long-term memory (LTM) and short-term memory (STM) groups, each was further subdivided into 3 subgroups: sham control, untreated 2VO and NSO treated 2VO group. All subgroups were tested with MWM at the tenth postoperative week. Working memory test results for both sham control and NSO treated groups showed significantly lower escape latency time and total distance travelled than untreated 2VO group. Similarly, LTM and STM MWM tests for sham control and NSO treated groups revealed significantly better maze test performance as compared to untreated 2VO group. Sham control and NSO treated 2VO groups demonstrated superior probe memory test performance as compared to untreated 2VO group. The fixed oil of Nigella sativa seeds has demonstrated noticeable spatial cognitive preservation in rats challenged with chronic cerebral hypoperfusion which indicates a promising prospective neuroprotective effect.
    Matched MeSH terms: Memory, Short-Term/drug effects
  4. Recollecting positive and negative autobiographical memories disrupts working memory
    Allen RJ, Schaefer A, Falcon T
    Acta Psychol (Amst), 2014 Sep;151:237-43.
    PMID: 25086225 DOI: 10.1016/j.actpsy.2014.07.003
    The present article reports two experiments examining the impact of recollecting emotionally valenced autobiographical memories on subsequent working memory (WM) task performance. Experiment 1 found that negatively valenced recollection significantly disrupted performance on a supra-span spatial WM task. Experiment 2 replicated and extended these findings to a verbal WM task (digit recall), and found that both negative and positive autobiographical recollections had a detrimental effect on verbal WM. In addition, we observed that these disruptive effects were more apparent on early trials, immediately following autobiographical recollection. Overall, these findings show that both positive and negative affect can disrupt WM when the mood-eliciting context is based on autobiographical memories. Furthermore, these results indicate that the emotional disruption of WM can take place across different modalities of WM (verbal and visuo-spatial).
    Matched MeSH terms: Memory, Short-Term*
  5. COGMED working memory training in children with Attention Deficit/Hyperactivity Disorder (ADHD): A feasibility study in Saudi Arabia
    Almarzouki AF, Bellato A, Al-Saad MS, Al-Jabri B
    Appl Neuropsychol Child, 2023;12(3):202-213.
    PMID: 35549563 DOI: 10.1080/21622965.2022.2070020
    Working memory training has been proven effective for improving cognitive functioning in patients with Attention Deficit/Hyperactivity Disorder (ADHD). However, the feasibility of this type of training for children in Saudi Arabia has not been previously explored. We investigated the feasibility of implementing Cogmed Working Memory Training (CWMT) in a sample of 29 Saudi children with ADHD. We found no significant demographic or clinical differences between compliant and noncompliant children. Although compliant children were initially better at following instructions and reported better improvements in working memory and math skills compared to those who did not complete the CWMT, all children who participated in the program showed improvements in performing the CWMT tasks. Most parents found the Cogmed training feasible for their children, were satisfied and keen to continue with the program, and felt the training helped them to address their problems. Most children did not encounter any difficulties in using the software, and many families were, therefore, likely to continue using the techniques from the program. We conclude that CWMT for children with ADHD is feasible in Saudi Arabia. Larger case-controlled studies are needed to thoroughly investigate the effects of CWMT compared to other interventions in Saudi children with ADHD.
    Matched MeSH terms: Memory, Short-Term*
  6. Fulltext Micronutrient interventions on cognitive performance of children aged 5-15 years in developing countries
    Khor GL, Misra S
    Asia Pac J Clin Nutr, 2012;21(4):476-86.
    PMID: 23017305
    It is estimated that more than 200 million young children worldwide fail to reach their potential in cognitive development owing to undernutrition. Numerous studies have assessed the effects of micronutrient supplementation on growth and cognitive development in infants, toddlers and preschoolers. However, micronutrient interventions on the cognitive performance of older children are limited. This article seeks to provide an update on micronutrient interventions and cognitive outcomes among children aged 5-15 years in developing countries. A total of 13 randomized controlled trials published since 2000 were identified. Majority of these studies assessed the effects of micronutrient-fortified foods on various domains of cognitive function. Among key micronutrients assessed were iron, zinc, iodine and vitamin A. This review found a lack of consistency in the impact of micronutrient supplementation on intelligence, long term mental functions and school examination grades of the children. A beneficial effect of micronutrient supplementation on short term memory was more consistently reported. Overall, the evidence from this review for the impact of micronutrients on cognitive performance in older children remains equivocal. In light of the growing interest on the influence of nutrition on cognition, it is important that culturally-appropriate and sufficiently sensitive assessment tools be used for measuring the desired cognitive outcomes that are most likely to be affected by the nutrients under study.
    Matched MeSH terms: Memory, Short-Term
  7. The effects of search-irrelevant working memory content on visual search
    Calleja MO, Willoughby AR
    Atten Percept Psychophys, 2023 Feb;85(2):293-300.
    PMID: 36596986 DOI: 10.3758/s13414-022-02634-9
    Previous experiments investigating visual search have shown that distractors that are semantically related to a search target can capture attention and slow the search process. In two experiments, we examine if distractors exactly matching, or semantically related to, search-irrelevant information held in working memory (WM) can also influence visual search while ruling out potential effects of color similarity. Participants first viewed and memorized an image of an everyday object, then they determined if a target item was present or absent in a two-object search array. On exact-match trials, the memorized object appeared as a distractor; on semantic-match trials, an object semantically related to the memorized object appeared as a distractor. Both exact-match and semantic-match distractors slowed search when the target was present in the search array. Our findings extend previous findings by demonstrating WM-driven attentional guidance by complex objects rather than simple features. The results also suggest that visual search can be influenced by distractors sharing only semantic features with a search-irrelevant, but active, WM representation.
    Matched MeSH terms: Memory, Short-Term*
  8. Effects of age and working memory capacity on pitch pattern sequence test and dichotic listening
    Mukari SZ, Umat C, Othman NI
    Audiol. Neurootol., 2010;15(5):303-10.
    PMID: 20150728 DOI: 10.1159/000283007
    This study assessed the effects of age and working memory capacity on dichotic listening and temporal sequencing. Double Dichotic Digit Test (DDT), Pitch Pattern Sequence Test (PPST) and Digit Span Test were administered on 40 healthy adults with hearing thresholds of not greater than 30 dB HL across octave frequencies from 250 to 4000 Hz. Twenty young (20-30 years old) and 20 older (50-65 years old) adults were included in the study. Results showed that the older group had significantly lower scores in DDT, PPST and working memory capacity measures than the young subjects. Working memory capacity was positively correlated with PPST but not with DDT, suggesting that DDT might be more auditory-modality-specific than PPST.
    Matched MeSH terms: Memory, Short-Term/physiology*
  9. Simultaneous EEG-fMRI for working memory of the human brain
    Ahmad RF, Malik AS, Kamel N, Reza F, Abdullah JM
    Australas Phys Eng Sci Med, 2016 Jun;39(2):363-78.
    PMID: 27043850 DOI: 10.1007/s13246-016-0438-x
    Memory plays an important role in human life. Memory can be divided into two categories, i.e., long term memory and short term memory (STM). STM or working memory (WM) stores information for a short span of time and it is used for information manipulations and fast response activities. WM is generally involved in the higher cognitive functions of the brain. Different studies have been carried out by researchers to understand the WM process. Most of these studies were based on neuroimaging modalities like fMRI, EEG, MEG etc., which use standalone processes. Each neuroimaging modality has some pros and cons. For example, EEG gives high temporal resolution but poor spatial resolution. On the other hand, the fMRI results have a high spatial resolution but poor temporal resolution. For a more in depth understanding and insight of what is happening inside the human brain during the WM process or during cognitive tasks, high spatial as well as high temporal resolution is desirable. Over the past decade, researchers have been working to combine different modalities to achieve a high spatial and temporal resolution at the same time. Developments of MRI compatible EEG equipment in recent times have enabled researchers to combine EEG-fMRI successfully. The research publications in simultaneous EEG-fMRI have been increasing tremendously. This review is focused on the WM research involving simultaneous EEG-fMRI data acquisition and analysis. We have covered the simultaneous EEG-fMRI application in WM and data processing. Also, it adds to potential fusion methods which can be used for simultaneous EEG-fMRI for WM and cognitive tasks.
    Matched MeSH terms: Memory, Short-Term/physiology*
  10. Heterogeneity in brain functional changes of cognitive processing in ADHD across age: A systematic review of task-based fMRI studies
    Yap KH, Abdul Manan H, Sharip S
    Behav Brain Res, 2021 01 15;397:112888.
    PMID: 32882284 DOI: 10.1016/j.bbr.2020.112888
    This review aims to establish the cognitive processing of patients with attention-deficit hyperactive disorder (ADHD) across age. Functional magnetic resonance imaging (fMRI) studies on children and adult populations were conducted, thus delineating deficits that could have been maintained and ameliorated across age. This allowed for the examination of the correlation between patterns of brain activation and the corresponding development of functional heterogeneity in ADHD. A systematic literature search of fMRI studies on ADHD was conducted using the PubMed and Scopus electronic databases based on PRISMA guidelines. References and citations were verified in Scopus database. The present study has identified 14 studies on children, 16 studies on adults, and one study on both populations of ADHD consisting of 1371 participants. Functional heterogeneity is present in ADHD across age, which can manifest either as different brain activation patterns, intra-subject variability, or both. This is shown in the increased role of the frontal regions and the specialized network in adults with ADHD from inefficient non-specific activation in childhood. Functional heterogeneity may manifest when delayed maturation is insufficient to normalize frontal lobe functions.
    Matched MeSH terms: Memory, Short-Term/physiology*
  11. Effects of a neurotensin analogue (PD149163) and antagonist (SR142948A) on the scopolamine-induced deficits in a novel object discrimination task
    Azmi N, Norman C, Spicer CH, Bennett GW
    Behav Pharmacol, 2006 Jun;17(4):357-62.
    PMID: 16914954
    Various lines of evidence suggest a role in cognition for the endogenous neuropeptide, neurotensin, involving an interaction with the central nervous system cholinergic pathways. A preliminary study has shown that central administration of neurotensin enhances spatial and nonspatial working memory in the presence of scopolamine, a muscarinic receptor antagonist which induces memory deficits. Utilizing similar methods, the present study employed a two-trial novel object discrimination task to determine the acute effect of a neurotensin peptide analogue with improved metabolic stability, PD149163, on recognition memory in Lister hooded rats. Consistent with previous findings with neurotensin, animals receiving an intracerebroventricular injection of PD149163 (3 microg) significantly discriminated the novel from familiar object during the choice trial. In addition, a similar dose of PD149163 restored the scopolamine-induced deficit in novelty recognition. The restoration effect on scopolamine-induced amnesia produced by PD149163 was blocked by SR142948A, a nonselective neurotensin receptor antagonist, at a dose of 1 mg/kg (intraperitonial) but not at 0.1 mg/kg. In conclusion, the present results confirm a role for neurotensin in mediating memory processes, possibly via central cholinergic mechanisms.
    Matched MeSH terms: Memory, Short-Term/drug effects
  12. Fulltext EEG based evaluation of stereoscopic 3D displays for viewer discomfort
    Malik AS, Khairuddin RN, Amin HU, Smith ML, Kamel N, Abdullah JM, et al.
    Biomed Eng Online, 2015;14:21.
    PMID: 25886584 DOI: 10.1186/s12938-015-0006-8
    Consumer preference is rapidly changing from 2D to 3D movies due to the sensational effects of 3D scenes, like those in Avatar and The Hobbit. Two 3D viewing technologies are available: active shutter glasses and passive polarized glasses. However, there are consistent reports of discomfort while viewing in 3D mode where the discomfort may refer to dizziness, headaches, nausea or simply not being able to see in 3D continuously.
    Matched MeSH terms: Memory, Short-Term
  13. Biosensing human blood clotting factor by dual probes: Evaluation by deep long short-term memory networks in time series forecasting
    Gopinath SCB, Ismail ZH, Shapiai MI, Sobran NMM
    Biotechnol Appl Biochem, 2021 Apr 09.
    PMID: 33835514 DOI: 10.1002/bab.2164
    Artificial intelligence of things (AIoT) has become a potential tool for use in a wide range of fields, and its use is expanding in interdisciplinary sciences. On the other hand, in a clinical scenario, human blood-clotting disease (Royal disease) detection has been considered an urgent issue that has to be solved. This study uses AIoT with deep long short-term memory networks for biosensing application and analyzes the potent clinical target, human blood clotting factor IX, by its aptamer/antibody as the probe on the microscaled fingers and gaps of the interdigitated electrode. The earlier results by the current-volt measurements have shown the changes in the surface modification. The limit of detection (LOD) was noticed as 1 pM with the antibody as the probe, whereas the aptamer behaved better with the LOD at 100 fM. The time-series predictions from the AIoT application supported the obtained results with the laboratory analyses using both probes. This application clearly supports the results obtained from the interdigitated electrode sensor as aptamer to be the better option for analyzing the blood clotting defects. The current study supports a great implementation of AIoT in sensing application and can be followed for other clinical biomarkers.
    Matched MeSH terms: Memory, Short-Term
  14. Fulltext Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model
    Pathan RK, Biswas M, Khandaker MU
    Chaos Solitons Fractals, 2020 Sep;138:110018.
    PMID: 32565626 DOI: 10.1016/j.chaos.2020.110018
    SARS-CoV-2, a novel coronavirus mostly known as COVID-19 has created a global pandemic. The world is now immobilized by this infectious RNA virus. As of June 15, already more than 7.9 million people have been infected and 432k people died. This RNA virus has the ability to do the mutation in the human body. Accurate determination of mutation rates is essential to comprehend the evolution of this virus and to determine the risk of emergent infectious disease. This study explores the mutation rate of the whole genomic sequence gathered from the patient's dataset of different countries. The collected dataset is processed to determine the nucleotide mutation and codon mutation separately. Furthermore, based on the size of the dataset, the determined mutation rate is categorized for four different regions: China, Australia, the United States, and the rest of the World. It has been found that a huge amount of Thymine (T) and Adenine (A) are mutated to other nucleotides for all regions, but codons are not frequently mutating like nucleotides. A recurrent neural network-based Long Short Term Memory (LSTM) model has been applied to predict the future mutation rate of this virus. The LSTM model gives Root Mean Square Error (RMSE) of 0.06 in testing and 0.04 in training, which is an optimized value. Using this train and testing process, the nucleotide mutation rate of 400th patient in future time has been predicted. About 0.1% increment in mutation rate is found for mutating of nucleotides from T to C and G, C to G and G to T. While a decrement of 0.1% is seen for mutating of T to A, and A to C. It is found that this model can be used to predict day basis mutation rates if more patient data is available in updated time.
    Matched MeSH terms: Memory, Short-Term
  15. Fulltext Relationships between dietary nutrients intake and lipid levels with functional MRI dorsolateral prefrontal cortex activation
    Lau H, Shahar S, Mohamad M, Rajab NF, Yahya HM, Din NC, et al.
    Clin Interv Aging, 2019;14:43-51.
    PMID: 30613138 DOI: 10.2147/CIA.S183425
    Background: Dorsolateral prefrontal cortex (DLPFC) is a key node in the cognitive control network that supports working memory. DLPFC dysfunction is related to cognitive impairment. It has been suggested that dietary components and high-density lipoprotein cholesterol (HDL-C) play a vital role in brain health and cognitive function.

    Purpose: This study aimed to investigate the relationships between dietary nutrient intake and lipid levels with functional MRI (fMRI) brain activation in DLPFC among older adults with mild cognitive impairment.

    Participants and methods: A total of 15 community-dwelling older adults with mild cognitive impairment, aged ≥60 years, participated in this cross-sectional study at selected senior citizen clubs in Klang Valley, Malaysia. The 7-day recall Diet History Questionnaire was used to assess participants' dietary nutrient intake. Fasting blood samples were also collected for lipid profile assessment. All participants performed N-back (0- and 1-back) working memory tasks during fMRI scanning. DLPFC (Brodmann's areas 9 and 46, and inferior, middle, and superior frontal gyrus) was identified as a region of interest for analysis.

    Results: Positive associations were observed between dietary intake of energy, protein, cholesterol, vitamins B6 and B12, potassium, iron, phosphorus, magnesium, and HDL-C with DLPFC activation (P<0.05). Multivariate analysis showed that vitamin B6 intake, β=0.505, t (14)=3.29, P=0.023, and Digit Symbol score, β=0.413, t (14)=2.89, P=0.045; R2=0.748, were positively related to DLPFC activation.

    Conclusion: Increased vitamin B6 intake and cognitive processing speed were related to greater activation in the DLPFC region, which was responsible for working memory, executive function, attention, planning, and decision making. Further studies are needed to elucidate the mechanisms underlying the association.

    Matched MeSH terms: Memory, Short-Term
  16. Fulltext A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals
    Bamatraf S, Hussain M, Aboalsamh H, Qazi EU, Malik AS, Amin HU, et al.
    Comput Intell Neurosci, 2016;2016:8491046.
    PMID: 26819593 DOI: 10.1155/2016/8491046
    We studied the impact of 2D and 3D educational contents on learning and memory recall using electroencephalography (EEG) brain signals. For this purpose, we adopted a classification approach that predicts true and false memories in case of both short term memory (STM) and long term memory (LTM) and helps to decide whether there is a difference between the impact of 2D and 3D educational contents. In this approach, EEG brain signals are converted into topomaps and then discriminative features are extracted from them and finally support vector machine (SVM) which is employed to predict brain states. For data collection, half of sixty-eight healthy individuals watched the learning material in 2D format whereas the rest watched the same material in 3D format. After learning task, memory recall tasks were performed after 30 minutes (STM) and two months (LTM), and EEG signals were recorded. In case of STM, 97.5% prediction accuracy was achieved for 3D and 96.6% for 2D and, in case of LTM, it was 100% for both 2D and 3D. The statistical analysis of the results suggested that for learning and memory recall both 2D and 3D materials do not have much difference in case of STM and LTM.
    Matched MeSH terms: Memory, Short-Term/physiology
  17. Fulltext Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory
    Tin TC, Chiew KL, Phang SC, Sze SN, Tan PS
    Comput Intell Neurosci, 2019;2019:8729367.
    PMID: 30719036 DOI: 10.1155/2019/8729367
    Preventive maintenance activities require a tool to be offline for long hour in order to perform the prescribed maintenance activities. Although preventive maintenance is crucial to ensure operational reliability and efficiency of the tool, long hour of preventive maintenance activities increases the cycle time of the semiconductor fabrication foundry (Fab). Therefore, this activity is usually performed when the incoming Work-in-Progress to the equipment is forecasted to be low. The current statistical forecasting approach has low accuracy because it lacks the ability to capture the time-dependent behavior of the Work-in-Progress. In this paper, we present a forecasting model that utilizes machine learning method to forecast the incoming Work-In-Progress. Specifically, our proposed model uses LSTM to forecast multistep ahead incoming Work-in-Progress prediction to an equipment group. The proposed model's prediction results were compared with the results of the current statistical forecasting method of the Fab. The experimental results demonstrated that the proposed model performed better than the statistical forecasting method in both hit rate and Pearson's correlation coefficient, r.
    Matched MeSH terms: Memory, Short-Term/physiology*
  18. Automated detection of atrial fibrillation using long short-term memory network with RR interval signals
    Faust O, Shenfield A, Kareem M, San TR, Fujita H, Acharya UR
    Comput Biol Med, 2018 11 01;102:327-335.
    PMID: 30031535 DOI: 10.1016/j.compbiomed.2018.07.001
    Atrial Fibrillation (AF), either permanent or intermittent (paroxysnal AF), increases the risk of cardioembolic stroke. Accurate diagnosis of AF is obligatory for initiation of effective treatment to prevent stroke. Long term cardiac monitoring improves the likelihood of diagnosing paroxysmal AF. We used a deep learning system to detect AF beats in Heart Rate (HR) signals. The data was partitioned with a sliding window of 100 beats. The resulting signal blocks were directly fed into a deep Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM). The system was validated and tested with data from the MIT-BIH Atrial Fibrillation Database. It achieved 98.51% accuracy with 10-fold cross-validation (20 subjects) and 99.77% with blindfold validation (3 subjects). The proposed system structure is straight forward, because there is no need for information reduction through feature extraction. All the complexity resides in the deep learning system, which gets the entire information from a signal block. This setup leads to the robust performance for unknown data, as measured with the blind fold validation. The proposed Computer-Aided Diagnosis (CAD) system can be used for long-term monitoring of the human heart. To the best of our knowledge, the proposed system is the first to incorporate deep learning for AF beat detection.
    Matched MeSH terms: Memory, Short-Term
  19. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
    Oh SL, Ng EYK, Tan RS, Acharya UR
    Comput Biol Med, 2018 11 01;102:278-287.
    PMID: 29903630 DOI: 10.1016/j.compbiomed.2018.06.002
    Arrhythmia is a cardiac conduction disorder characterized by irregular heartbeats. Abnormalities in the conduction system can manifest in the electrocardiographic (ECG) signal. However, it can be challenging and time-consuming to visually assess the ECG signals due to the very low amplitudes. Implementing an automated system in the clinical setting can potentially help expedite diagnosis of arrhythmia, and improve the accuracies. In this paper, we propose an automated system using a combination of convolutional neural network (CNN) and long short-term memory (LSTM) for diagnosis of normal sinus rhythm, left bundle branch block (LBBB), right bundle branch block (RBBB), atrial premature beats (APB) and premature ventricular contraction (PVC) on ECG signals. The novelty of this work is that we used ECG segments of variable length from the MIT-BIT arrhythmia physio bank database. The proposed system demonstrated high classification performance in the handling of variable-length data, achieving an accuracy of 98.10%, sensitivity of 97.50% and specificity of 98.70% using ten-fold cross validation strategy. Our proposed model can aid clinicians to detect common arrhythmias accurately on routine screening ECG.
    Matched MeSH terms: Memory, Short-Term
  20. Fulltext Examining relations between performance on non-verbal executive function and verbal self-regulation tasks in demographically-diverse populations
    Dutra NB, Chen L, Anum A, Burger O, Davis HE, Dzokoto VA, et al.
    Dev Sci, 2022 Sep;25(5):e13228.
    PMID: 35025126 DOI: 10.1111/desc.13228
    Self-regulation is a widely studied construct, generally assumed to be cognitively supported by executive functions (EFs). There is a lack of clarity and consensus over the roles of specific components of EFs in self-regulation. The current study examines the relations between performance on (a) a self-regulation task (Heads, Toes, Knees Shoulders Task) and (b) two EF tasks (Knox Cube and Beads Tasks) that measure different components of updating: working memory and short-term memory, respectively. We compared 107 8- to 13-year-old children (64 females) across demographically-diverse populations in four low and middle-income countries, including: Tanna, Vanuatu; Keningau, Malaysia; Saltpond, Ghana; and Natal, Brazil. The communities we studied vary in market integration/urbanicity as well as level of access, structure, and quality of schooling. We found that performance on the visuospatial working memory task (Knox Cube) and the visuospatial short-term memory task (Beads) are each independently associated with performance on the self-regulation task, even when controlling for schooling and location effects. These effects were robust across demographically-diverse populations of children in low-and middle-income countries. We conclude that this study found evidence supporting visuospatial working memory and visuospatial short-term memory as distinct cognitive processes which each support the development of self-regulation.
    Matched MeSH terms: Memory, Short-Term/physiology
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links