A5035891582- Conducting polymers and applications
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Subtitles and Audiovisual Media
- Gaze Tracking and Assistive Technology
- ECG Monitoring and Analysis
- Analytical Chemistry and Sensors
- Online Learning and Analytics
- Non-Invasive Vital Sign Monitoring
Tokyo Institute of Technology
2017-2022
Abstract In this study, near-infrared (NIR) organic photodetectors (OPDs) based on a liquid crystalline phthalocyanine derivative, 1,4,8,11,15,18,22,25-octaoctyl-phthalocyanine (8H 2 Pc), and phenyl-C61-butyric acid methyl ester (PC 61 BM) were realized. The best device had blend ratio of 1:1 by weight exhibited responsivity 0.2 A W −1 , external quantum efficiency 29% shot-noise-limited specific detectivity 1.3 × 10 12 Jones at 740 nm with V reverse bias. This notable performance was...
In recent years, massive open online courses (MOOCs) have been rapidly growing with learners from both English and non-English speaking countries. Nowadays, many MOOC developers provide transcripts in multiple languages to attract a broader range of learners. However, providing is ineffective for visually impaired tends divert learners' attention away the overall content video lecture. Thus, aside offering transcripts, Japanese lecture videos Tokyo TechIntroduction Electrical Electronic...
Highly responsive near-infrared (NIR) photodetectors are essential for the accurate measurement and monitoring of health parameters such as oxygen saturation level in blood, heart rate, breathing rate. Photo detectors fabricated with emerging materials organic semiconductors must exceed responsivity 0.5 A/W order to compete commercial silicon photodiodes. In this study, NIR a liquid crystalline (LC) semiconductor, octaoctylphthalocyanine (8H2Pc), were realized exhibiting maximum 0.7 -1 V at...
Deep learning techniques have made importance in the analysis of complex ECG signals, particularly classification heartbeats and prediction arrhythmias. Despite this, additional research needs to be carried out on area health-related data. The difficulties with multilayered convolution neural network (CNN) models are addressed by this research's hybrid an both directions organized recurrent technique for classifying In order address uneven signal class, a synthesis is generated using...
Utilization of electromyogram (EMG) signal is one the most utilitarian and practical methods developing a prosthetic or orthotic limb. In addition to EMG, voice recognition method can also be convenient applicable in specific situations. this article, pragmatic cost effective constructing arm using mentioned two different signals presented. Post-filtering was performed on EMG necessary features were extracted evaluated while input processed by Android application. The developed has been able...