Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Work fatigue is a phenomenon that is often experienced by workers. If left untreated, ongoing work fatigue can reduce worker productivity. Informal workers are the type of workers whose numbers dominate in Indonesia, one of which is workers in micro and small industries which involve many women. Women who work have a dual role, as workers, wives, and mothers of their children. If women workers experience continuous work fatigue, they are not able to play a role in other tasks. This study aims to identify the work fatigue of women workers in the informal sector as a basis for developing interventions to overcome work fatigue. This research is a descriptive study with a sample of 38 people who were taken purposively, a measuring tool to determine fatigue with the Fatigue Measurement Feeling Questionnaire (KAUPK2) and Nordic Body Map. The result shows that with KAUPK2, 11 respondents (28.9%) experienced fatigue, with the Nordic Body Map, 39% revealed pain in the right shoulder, 36.8% pain in the right hand, and 34.2% pain in the left hand. It suggests that the interventions need to be developed to overcome work fatigue so that work productivity is more optimal
Obstructive Sleep Apnea (OSA) is a disturbance of breathing during sleep with loud snoring and cessation of breath in short periods. OSA research has become a widely researched topic in recent years. OSA is characterized by repeated episodes of collapse and upper airway obstruction during sleep. OSA detection carried out using several biological signals such as EEG, ECG, or EMG. In this article, several studies of OSA detection using ECG signals are presented. From the calculation of the RR interval on the ECG signal, it can be seen the condition of a person's respiration, known as ECG-derived respiration (EDR). In this review, we discuss the feature extraction method and classifier used in OSA detection using ECG signals. In addition, we briefly describe the potential and its development in the future