Publications by authors named "Akira Hyodo"
Article Synopsis
- A study examined the effectiveness of convolutional neural networks (CNNs) integrated with electrocardiograms (ECGs) for identifying hypertrophic cardiomyopathy (HCM) and dilated HCM (dHCM) in a large patient dataset (19,170 total, with 140 HCM/dHCM cases).
- The analysis focused on two diagnostic models—one for overall disease detection and another that considered different disease subtypes—showing that while overall sensitivity started at 76%, it reached 100% when specific conditions were met (diagnostic probability ≥ 0.9 and left ventricular hypertrophy present).
- The research concluded that while initial detection rates of HCM or dHCM using CNNs in
Article Synopsis
- * The CNN model achieved a high area under the curve (AUC) score of 0.936 for AD detection with eight-lead ECGs but had a low overall positive predictive rate (PPR) of 7%. However, the PPR improved significantly to 35% for patients with high D-dimer levels and a history of hypertension.
- * The single-lead V1 ECG also demonstrated strong performance, with an A
Article Synopsis
- - We created a convolutional neural network (CNN) to detect atrial fibrillation (AF) using sinus rhythm ECGs (SR-ECG), analyzing data from 616 AF cases and 3,412 sinus rhythm cases among over 19,000 patients.
- - The CNN model showed strong performance with an area under the curve (AUC) of 0.872 for detecting AF with eight-lead ECGs, indicating high accuracy in distinguishing AF from sinus rhythm.
- - Notably, the double-lead ECG using leads I and V1 had a similar AUC of 0.871, suggesting that this simpler approach could be a viable alternative for AF screening in clinical settings.
Article Synopsis
- The study aimed to create an AI model for detecting the dilated phase of hypertrophic cardiomyopathy (dHCM) using digital electrocardiograms (ECGs).
- It utilized a retrospective analysis of 17,378 ECGs from a database, identifying 54 dHCM patients and evaluating the model's effectiveness with different lead configurations (eight-lead, single-lead, and double-lead).
- The results showed high accuracy, with the single-lead V5 ECG performing almost as well as the eight-lead ECG, suggesting it as a viable option for dHCM screening.
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.
Int J Cardiol Heart Vasc
February 2023
Background: There is increasing evidence that 12-lead electrocardiograms (ECG) can be used to predict biological age, which is associated with cardiovascular events. However, the utility of artificial intelligence (AI)-predicted age using ECGs remains unclear.
Methods: Using a single-center database, we developed an AI-enabled ECG using 17 042 sinus rhythm ECGs (SR-ECG) to predict chronological age (CA) with a convolutional neural network that yields AI-predicted age.
Background: This study aimed to increase the knowledge on how to enhance the performance of artificial intelligence (AI)-enabled electrocardiography (ECG) to detect atrial fibrillation (AF) on sinus rhythm ECG (SR-ECG).
Methods: It is a retrospective analysis of a single-center, prospective cohort study (Shinken Database). We developed AI-enabled ECG using SR-ECG to predict AF with a convolutional neural network (CNN).
Influence of coil current configuration in magnetic stimulation of a nerve fiber in inhomogeneous and anisotropic conducting media.
Annu Int Conf IEEE Eng Med Biol Soc
April 2010
In this study, we used a computer simulation to investigate the effects of the coil current waveform and direction on the excitation processes of the nerve axon in inhomogeneous and anisotropic conducting media in magnetic stimulation. We assumed that the nerve axon was located in the media with 2 regions having different conductivities or electrical anisotropy that simulate different tissue types. The distribution of induced electric fields was calculated with the finite element method (FEM).
View Article and Find Full Text PDFAcupuncture has long been applied as a therapeutic technique in China, Japan, Korea and other countries. Recently, its application began to be extended to the treatment of neural disorders. We experienced a 13-year-old boy with prolonged consciousness disturbance after a pineal tumor surgery and muscle contracture of lower extremity by long-term recumbency.
View Article and Find Full Text PDFThe numeric calculation of eddy current distributions in transcranial magnetic stimulation.
Annu Int Conf IEEE Eng Med Biol Soc
May 2009
Transcranial magnetic stimulation (TMS) is a method to stimulate neurons in the brain. It is necessary to obtain eddy current distributions and determine parameters such as position, radius and bend-angle of the coil to stimulate target area exactly. In this study, we performed FEM-based numerical simulations of eddy current induced by TMS using three-dimentional human head model with inhomogeneous conductivity.
View Article and Find Full Text PDFReduction in the motor unit number estimate (MUNE) after cerebral infarction.
Suppl Clin Neurophysiol
September 2010
We examined the relationship between the degree to which motor unit number estimates (MUNEs) decrease in association with the clinical features of patients with the infarction. Using a multiple-point stimulation technique, we obtained the MUNE of the hypothenar muscle group in 13 age-matched control subjects and 30 patients with cerebral infarction. In all patients, we obtained the Japan Stroke Scale (JSS) and head MR images.
View Article and Find Full Text PDFAcupuncture has been applied as a therapeutic technique in China, Japan and East Asia. Recently, its application is extended to treat neural injuries. We describe a 26-year-old man with consciousness disturbance and intense muscle spasticity of extremities due to severe diffuse axonal injury (DAI) in whom acupuncture treatment for 1 month was effective to alleviate these symptoms remarkably.
View Article and Find Full Text PDFAcupuncture has been used as a therapeutic technique in China, Japan and East Asia. Recently, it is used to treat neural injuries. We describe a 6-year-old boy with consciousness disturbance and heavy muscle spasticity of extremities due to severe diffuse axonal injury (DAI) in whom acupuncture treatment for 6 months alleviated these symptoms remarkably.
View Article and Find Full Text PDFBackground: The mechanism of the decrease in motor unit number estimates (MUNEs) after cerebral infarction has not been studied systematically. We examined the relationship between the degree to which MUNEs decreased and the other clinical features of patients with the infarction.
Methods: Using a multiple point stimulation technique, we obtained the MUNE of the hypothenar muscle group in 13 age-matched control subjects and 30 patients with cerebral infarction.