Publications by authors named "J Okawa"
Article Synopsis
- * He was intubated and treated for acute respiratory distress syndrome (ARDS) with high-dose corticosteroids and ECMO, but did not improve and passed away 35 days later.
- * The autopsy indicated diffuse alveolar damage and idiopathic diffuse alveolar hemorrhage linked to ARDS, highlighting the need to consider ARDS as a possible diagnosis after COVID-19 vaccination-related respiratory symptoms.
Article Synopsis
- - The study investigates 3D tongue movements during chewing using electromagnetic articulography (EMA), highlighting the tongue's role in mastication, swallowing, and articulation despite its hidden location in the mouth.
- - Ten healthy young volunteers had EMA sensors placed on their tongues and jaw to track movements while chewing gum, enabling detailed spatial and sequential analysis of the tongue's motion.
- - Results showed that the tongue moves in concert with the jaw, with specific patterns during chewing phases, such as the anterior tongue moving downward more than the posterior and the tongue reaching forward when the jaw is pulled back.
Background: Coordination among lip, cheek and tongue movements during swallowing in patients with mandibular prognathism remains unclear.
Objectives: This study aimed to identify the temporal sequences of tongue pressure and maxillofacial muscle activities during swallowing in patients with mandibular prognathism and compared characteristics with those of healthy volunteers.
Methods: Seven patients with mandibular prognathism (mandibular prognathism group) and 25 healthy volunteers with individual normal occlusion (control group) were recruited.
Article Synopsis
- The study aimed to create image recognition networks to assess tongue coating status using digital photographs of volunteers' tongues.
- Two separate networks were developed: one for tongue detection (using YOLO v2) and another for classifying tongue coating (using ResNet-18), evaluated by experienced panelists.
- Results showed high accuracy in tongue detection and strong agreement between the network's classifications and panelist scores, indicating that image recognition technology can effectively assess tongue coating status.