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Prescreening MCI and Dementia Using Shank Mounted IMU During TUG task
Detection of mild cognitive impairment (MCI) and dementia (DEM) is an important topic because, unless it is treated early, MCI can …
Phuridet Cherachapridi, Patcharapol Wachiraphan, Phurin Rangpong, Suktipol Kiatthaveephong, Supavit Kongwudhikunakorn, Kamonwan Thanontip, Maytus Piriyajitakonkij*, Amrest Chinkamol, Chnan Likitvanichkul, Pathitta Dujada, Vorapun Senanarong, Theerawit Wilaiprasitporn, Thapanun Sudhawiyangkul
Prescreening MCI and Dementia Using Shank Mounted IMU During TUG task
SleepPoseNet: multi-view learning for sleep postural transition recognition using UWB
We proposed a non-contact sleep posture monitoring system using UWB radar. However, the signals corresponding to sleep postures received by a single antenna are similar among classes, resulting in a low classification accuracy. We created a deep learning model that combine time and time-frequency representations to tackle this problem. Our algorithm improves performance of classification accuracy when the signals are similar among classes
Maytus Piriyajitakonkij*, Patchanon Warin, Payongkit Lakhan, Pitshaporn Leelaarporn, Nakorn Kumchaiseemak, Supasorn Suwajanakorn, Theerasarn Pianpanit, Nattee Niparnan, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn
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SleepPoseNet: multi-view learning for sleep postural transition recognition using UWB
Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study
We propose a deep learning-based approach to localizing a small moving object with a single millimeter-wave frequency-modulated …
Nakorn Kumchaiseemak, Itthi Chatnuntawech, Surat Teerapittayanon, Palakon Kotchapansompote, Thitikorn Kaewlee, Maytus Piriyajitakonkij*, Theerawit Wilaiprasitporn, Supasorn Suwajanakorn
Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study
EEGANet: removal of ocular artifact from the EEG signal using generative adversarial networks
The elimination of ocular artifacts is critical in analyzing electroencephalography (EEG) data for various brain-computer interface …
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij*, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn
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EEGANet: removal of ocular artifact from the EEG signal using generative adversarial networks
Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach
The technological advancement in wireless health monitoring through the direct contact of the skin allows the development of …
Tanut Choksatchawathi, Puntawat Ponglertnapakorn, Apiwat Ditthapron, Pitshaporn Leelaarporn, Thayakorn Wisutthisen, Maytus Piriyajitakonkij*, Theerawit Wilaiprasitporn
Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach
A pilot study on visually stimulated cognitive tasks for EEG-based dementia recognition
In the status quo, dementia (DEM) is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid …
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij*, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Vorapun Senanarong, Theerawit Wilaiprasitporn
A pilot study on visually stimulated cognitive tasks for EEG-based dementia recognition