Electroencephalogram signals emotion recognition based on convolutional neural network-recurrent neural network framework with channel-temporal attention mechanism for older adults.

Reminiscence and conversation between older adults and younger volunteers using past photographs are very effective in improving the emotional state of older adults and alleviating depression. However, we need to evaluate the emotional state of the older adult while conversing on the past photographs. While electroencephalogram (EEG) has a significantly stronger association with emotion than other physiological signals, the challenge is to eliminate muscle artifacts in the EEG during speech as well as to reduce the number of dry electrodes to improve user comfort while maintaining high emotion recognition accuracy.

Emotion Recognition Using Electroencephalography Signals of Older People for Reminiscence Therapy.

Numerous communication support systems based on reminiscence therapy have been developed. However, when using communication support systems, the emotional assessment of older people is generally conducted using verbal feedback or questionnaires. The purpose of this study is to investigate the feasibility of using Electroencephalography (EEG) signals for automatic emotion recognition during RT for older people.

A Library of Old Photos Supporting Conversation of Two Generations Serving Reminiscence Therapy.

In Japan, a shift in family patterns has led to a sense of social isolation among older people, which increases the risk of major neurocognitive disorder. Interventions for them using old photos to implement reminiscence therapy (RT) have been proved to be effective. A super-aged society has in turn led to a shortage of medical resources and older people prefer home care over institutional care.

Heart sound recognition technology based on convolutional neural network.

The mortality rate of heart disease continues to rise each year: developing mechanisms to reduce mortality from heart disease is a top concern in today's society. Heart sound auscultation is a crucial skill used to detect and diagnose heart disease. In this study, we propose a heart sound signal classification algorithm based on a convolutional neural network.

Translational Acceleration, Rotational Speed, and Joint Angle of Patients Related to Correct/Incorrect Methods of Transfer Skills by Nurses.

Currently, due to shortages in the nursing faculty and low access to actual patients, it is difficult for students to receive feedback from teachers and practice with actual patients to obtain clinic experience. Thus, both evaluation systems and simulated patients have become urgent requirements. Accordingly, this study proposes a method to evaluate the nurse's transfer skill through observation from the patient.

Relationship between nursing students' preference for types of teaching materials and learning effects of self-learning tool.

The purpose of this study was to investigate the relationship between learning effects of the self-learning tool for nursing students and types of teaching materials. Ten nursing students were asked to perform transfer a patient from bed to wheelchair after watching the demo video and practicing 20 minutes. The students' performance was evaluated before and after practicing.

Daily assistance for individuals with dementia via videophone.

We previously developed remote reminiscence conversation and schedule prompter systems via the videophone to improve psychological stability and to assist individuals with dementia to perform household tasks. Our results showed that the psychological stability of 1 patient persisted for 3 hours after remote conversations. The task completion rate afforded by the schedule prompter system, which displays a video reminder series automatically, was 52%.

Effectiveness of personalised reminiscence photo videos for individuals with dementia.

Reminiscence intervention is effective for increasing self-esteem and decreasing behavioural disturbances in individuals with dementia. This paper introduces the concept of a "personalised reminiscence photo video" as a convenient method for reminiscence intervention. The video utilises a slideshow video of personal photos with narration, background music, and pan/zoom visual effects.

Networked interaction therapy: relieving stress in memory-impaired people and their family members.

To relieve the stress in the lives of memory-impaired people and their family members, we propose the concept of Networked Interaction Therapy that connects them with community support group members via Internet by utilizing Internet communication, image understanding and sensory-interaction media technologies. To study their need and acceptance for our services, we made short video clips to illustrate our concept, and interviewed the care givers. Based on these studies, we also conducted the experiments with the low-fidelity mock-ups.

Nursing spoken corpora for understanding nursing assignments.

We have built Spoken Corpora using voice data that were obtained by monitored and recorded daily nursing assignments in hospitals. The devices, we have developed are able to monitor daily nursing assignments and record multimedia data, such as video, voice, pedometer, acceleration, and. so on.

Features of standardized nursing terminology sets in Japan.

Unlabelled: This paper reports the features and relationships between standardizes nursing terminology sets used in Japan. First, we analyzed the common parts in five standardized nursing terminology sets: the Japan Nursing Practice Standard Master (JNPSM) that includes the names of nursing activities and is built by the Medical Information Center Development Center (MEDIS-DC); the labels of the Japan Classification of Nursing Practice (JCNP), built by the term advisory committee in the Japan Academy of Nursing Science; the labels of the International Classification for Nursing Practice (ICNP) translated to Japanese; the labels, domain names, and class names of the North American Nursing Diagnosis Association (NANDA) Nursing Diagnoses 2003-2004 translated to Japanese; and the terms included in the labels of Nursing Interventions Classification (NIC) translated to Japanese. Then we compared them with terms in a thesaurus dictionary, the Bunrui Goihyo, that contains general Japanese words and is built by the National Institute for Japanese Language.

The proposal of measurement of RNs at acute care setting cognitive process when they make cognitive error.

This paper presents the proposal for the design of a measurement of cognitive process of nurses at acute care setting when they make cognitive error. nurses especially at acute care setting perform their numerous nursing tasks simultaneously in time-stressed, information-rich situation. To cope with these severe cognitive demands expertise nurses develop simplification strategies not to consume their mental resources so much.