Our Research

Our foundation is research, our outcome is innovation

At SensAI, we place utmost importance on the accuracy of our measurements, ensuring that every product we develop meets the highest standards of precision. Our commitment to quality is backed by rigorous research and continuous innovation. As a proud spin-off from the renowned INTERFACES laboratory at Vidyasirimedhi Institute of Technology (VISTEC), we leverage their extensive expertise to enhance the reliability and performance of our products. This close collaboration underscores our dedication to advancing technological frontiers and delivering exceptional solutions to our customers.

Selected Publication

Our selected publications from over 27 published.

ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing

Published in: IEEE Internet of Things Journal (Early Access)

DOI: 10.1109/JIOT.2024.3433500

MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning

Published in: IEEE Journal of Biomedical and Health Informatics ( Volume: 25, Issue: 6, June 2021)

DOI: 10.1109/JBHI.2020.3037693

RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation

Published in: IEEE Internet of Things Journal ( Volume: 10, Issue: 18, 15 September 2023)

DOI: 10.1109/JIOT.2023.3265980

Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach

Published in: IEEE Sensors Journal ( Volume: 20, Issue: 13, 01 July 2020)

DOI: 10.1109/JSEN.2020.2979191

Sensor-Driven Achieving of Smart Living: A Review

Published in: IEEE Sensors Journal ( Volume: 21, Issue: 9, 01 May 2021)

DOI: 10.1109/JSEN.2021.3059304

Potential Applications of Mobile and Wearable Devices for Psychological Support During the COVID-19 Pandemic: A Review

Published in: IEEE Sensors Journal ( Volume: 21, Issue: 6, 15 March 2021)

DOI: 10.1109/JSEN.2020.3046259

Single Channel ECG for Obstructive Sleep Apnea Severity Detection Using a Deep Learning Approach

Published in: TENCON 2018 – 2018 IEEE Region 10 Conference

DOI: 10.1109/TENCON.2018.8650429

Deep Neural Networks with Weighted Averaged Overnight Airflow Features for Sleep Apnea-Hypopnea Severity Classification

Published in: TENCON 2018 – 2018 IEEE Region 10 Conference

DOI: 10.1109/TENCON.2018.8650491

Our Research Partner

We work closely with research institute, hospital and specialist clinic over Thailand.

27

Published Publications

Vidyasirimedhi Institute of Science and Technology

Chula Sleep Center

VISTEC Siriraj Research Center

Pattani Hospital