Analysis of the effectiveness of cognitive rehabilitation for patients with chronic mental illness: A meta-analysis.

BACKGROUND: People suffering from chronic mental illness are sensitive to stressful stimuli, lack coping skills, and have low self-esteem due to problems such as social situations. They also experience depression, isolation, fear, and frustration. Due to cognitive dysfunction, people suffering from chronic mental illness have inadequate cognitive processes that lead to distorted thinking. AIM: To confirm the effectiveness of cognitive rehabilitation therapy in improving cognitive function and alleviating behavioral and psychological symptoms in patients with chronic mental illness, and to identify the cognitive function that had the main effect. METHODS: The quality of the studies was evaluated using the Assessment of Multiple Systematic Reviews criteria, and data published from 2011 to December 2022 were searched using PubMed, Cochrane, RISS, KISS, and DBpia. The keywords used in the search were "mental illness," "cognitive rehabilitation," "cognition," and "mental." A meta-analysis was conducted on the 12 selected papers. RESULTS: The level of evidence for the 12 documents was that of a randomized experimental study. Intervention types in cognitive rehabilitation can be divided into cognitive behavior, cognitive training, cognitive rehabilitation, and computerized cognitive programs. Most of the studies were on schizophrenia, and the measurement areas were cognitive functions (e.g., concentration, memory, and executive function) as well as depression, sociability, and quality of life. As a result of the meta-analysis of each variable, the effect size for cognitive rehabilitation treatment was in the following order: Sociability, memory, concentration, executive function, quality of life, and depression. Particularly, sociability and memory exhibited significant effects. CONCLUSION: Cognitive rehabilitation aids cognitive function and sociability in patients with chronic mental illness and can be used as evidence for cognitive rehabilitation in mental health and occupational therapy.

Development of a sitting posture monitoring system for children using pressure sensors: An application of convolutional neural network.

BACKGROUND: Today, sedentary lifestyles are very common for children. Therefore, maintaining a good posture while sitting is very important to prevent musculoskeletal disorders. To maintain a good posture, the formation of good postural habit must be encouraged through posture correction. However, long-term observation is required for effective posture correction. Additionally, posture correction is more effective when it is performed in real time. OBJECTIVE: The goal of this study is to classify nine representative sitting postures of children by applying a machine learning technique using pressure distribution data according to the sitting postures. METHODS: In this study, a customized film-type pressure sensor was developed and pressure distribution data from nine sitting postures was collected from seven to twelve year-old children. A convolutional neural network (CNN) was applied to classify the sitting postures and three experiments were conducted to evaluate the performance of the model in three applicable usage scenarios: usage by familiar identifiable users, usage by familiar, but unidentifiable users, and usage by unfamiliar users. RESULTS: The results of our experiments revealed model accuracies of 99.66%, 99.40%, and 77.35%, respectively. When comparing the recall values for each posture, leaning left and leaning right postures had high recall values, but good posture, leaning forward, and crossed-legs postures had low recall values. CONCLUSION: The results of experiments indicated that CNN is an excellent classification method to classify the posture when the pressure distribution data is used as input data. This study is expected to contribute a development of system to aid in observing the natural sitting behavior of children and correcting poor posture in real time.

Kawasaki Shock Syndrome with Initial Presentation as Neck lymphadenitis: A Case Report.

Kawasaki disease (KD) is an acute systemic vasculitis of unknown cause that mainly affects infants and children and can result in coronary artery complications if left untreated. A small subset of KD patients with fever and cervical lymphadenitis has been reported as node-first-presenting KD (NFKD). This type of KD commonly affects the older pediatric population with a more intense inflammatory process. Considering its unusual initial presentation, a delay in diagnosis and treatment increases the risk of coronary artery complications. Herein, we report the case of a 9-year-old female with fever and neck mass that rapidly deteriorated to shock status. A diagnosis of KD was made after the signs and symptoms fulfilled the principal diagnostic criteria. The patient's heart failure and blood pressure improved dramatically after a single dose of intravenous immunoglobulin. This case reminds us that NFKD could be the initial manifestation of KDSS, which is a potentially fatal condition. We review the literature to identify the overlapping characteristics of NFKD and KDSS, and to highlight the importance of early recognition of atypical KD regardless of age. We conclude that unusually high C-reactive protein, neutrophilia, and thrombocytopenia serve as supplemental laboratory indicators for early identification of KDSS in patients with NFKD.

Evaluation of the guidelines and children's ability to select the anthropometrically recommendable height of school furniture: A case study of Korean primary school children.

BACKGROUND: The use of school furniture with a height that is anthropometrically mismatched can lead children into taking awkward postures while sitting. In Korea, desks and chairs for primary schools have seven different height levels, and these levels are regulated by the national standard KSG-2010. These levels serve to accommodate children of all heights, but the choice problem remains because of the many alternatives. OBJECTIVE: This study evaluates the anthropometric feasibility of the currently used guidelines for the selection of height level for Korean primary school furniture. In addition, we examine children's ability to select anthropometrically recommendable desk and seat heights. METHODS: In study 1, anthropometric data from 2005 Korean children were acquired and a mismatch analysis was performed under the assumption that children were paired with the height level recommended by the guidelines. In study 2, we conducted a desk and seat height selection experiment that included 36 children. RESULTS: The results of study 1 revealed that about three quarters of children could be matched by following the guidelines. The results of study 2 showed that a quarter of children selected matchable desk and seat heights by themselves. We developed new guidelines using classification algorithms based on the employed data in study 1, and it was confirmed that the new guidelines could significantly increase the degree of match. CONCLUSION: This study confirmed that the currently used guidelines need to be revised and that children had difficulty in selecting the appropriate height of school furniture by themselves. The new guidelines suggested in this study are expected to contribute to the correct usage by Korean primary school children.

Characteristics of children with Kawasaki disease requiring intensive care: 10 years' experience at a tertiary pediatric hospital.

BACKGROUND/PURPOSE: Kawasaki disease (KD) is a febrile systemic vasculitis, and some patients may develop serious complications requiring intensive care. We aim to ascertain the clinical presentations and outcomes of these patients. METHODS: From October 2004 to October 2014, children with KD who had stayed in the pediatric intensive care unit (ICU) for acute stage treatment were defined as case patients; for each case, three age/sex-matched patients with KD but without ICU stay, if identified, were selected as control patients. Clinical data were retrospectively collected and analyzed. RESULTS: Among the total of 1065 KD patients, we identified 26 case patients and 71 controls for statistical analysis. ICU patients had a longer fever duration, and tended to have hemoglobin level < 10 g/dL, platelet count < 150 × 109/L, band cell percentage > 10%, peak serum C-reactive protein level > 200 mg/L, serum albumin value < 3 g/dL, and often presented with multiorgan system involvement. Time from symptom onset to the diagnosis of KD was similar between the two groups, but ICU patients were less likely to have KD as a leading admission diagnosis. Shock (73.1%, n = 19) was the most common reason for ICU admission. ICU patients were more likely to receive antibiotics, albumin infusion, and require a second dose of intravenous immunoglobulin or steroid therapy. No in-hospital mortality was observed. CONCLUSION: Patients with KD requiring ICU admission are significantly associated with multiorgan involvement, abnormal hematological and biochemistry biomarkers, KD recognition difficulty at the time of admission, and intravenous immunoglobulin-refractory KD.

A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.

A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently been proposed to address the limitations of conventional single BCI system. Although some hybrid BCI studies have shown promising results, the field of hybrid BCI is still in its infancy and there is much to be done. Especially, since the hybrid BCI systems are so complicated and complex, it is difficult to understand the constituent and role of a hybrid BCI system at a glance. Also, the complicated and complex systems make it difficult to evaluate the usability of the systems. We systematically reviewed and analyzed the current state-of-the-art hybrid BCI studies, and proposed a systematic taxonomy for classifying the types of hybrid BCIs with multiple taxonomic criteria. After reviewing 74 journal articles, hybrid BCIs could be categorized with respect to 1) the source of brain signals, 2) the characteristics of the brain signal, and 3) the characteristics of operation in each system. In addition, we exhaustively reviewed recent literature on usability of BCIs. To identify the key evaluation dimensions of usability, we focused on task and measurement characteristics of BCI usability. We classified and summarized 31 BCI usability journal articles according to task characteristics (type and description of task) and measurement characteristics (subjective and objective measures). Afterwards, we proposed usability dimensions for BCI and hybrid BCI systems according to three core-constructs: Satisfaction, effectiveness, and efficiency with recommendations for further research. This paper can help BCI researchers, even those who are new to the field, can easily understand the complex structure of the hybrid systems at a glance. Recommendations for future research can also be helpful in establishing research directions and gaining insight in how to solve ergonomics and HCI design issues surrounding BCI and hybrid BCI systems by usability evaluation.