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

1 code implementation • 19 Jun 2023 • Tanut Choksatchawathi, Guntitat Sawadwuthikul, Punnawish Thuwajit, Thitikorn Keawlee, Thee Mateepithaktham, Siraphop Saisaard, Thapanun Sudhawiyangkul, Busarakum Chaitusaney, Wanumaidah Saengmolee, Theerawit Wilaiprasitporn

This paper contributes to developing fingertip PPG-based obstructive sleep apnea (OSA) event onset recognition.

Photoplethysmography (PPG) Specificity

PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting

no code implementations • 9 Dec 2022 • Chiraphat Boonnag, Wanumaidah Saengmolee, Narongrid Seesawad, Amrest Chinkamol, Saendee Rattanasomrerk, Kanyakorn Veerakanjana, Kamonwan Thanontip, Warissara Limpornchitwilai, Piyalitt Ittichaiwong, Theerawit Wilaiprasitporn

In light of the COVID-19 pandemic, patients were required to manually input their daily oxygen saturation (SpO2) and pulse rate (PR) values into a health monitoring system-unfortunately, such a process trend to be an error in typing.

object-detection Object Detection +2

ANet: Autoencoder-Based Local Field Potential Feature Extractor for Evaluating An Antidepressant Effect in Mice after Administering Kratom Leaf Extracts

no code implementations • 17 Sep 2022 • Jakkrit Nukitram, Rattanaphon Chaisaen, Phairot Autthasan, Narumon Sengnon, Juraithip Wungsintaweekul, Wanumaidah Saengmolee, Dania Cheaha, Ekkasit Kumarnsit, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn

Here, we adopted an autoencoder (AE)-based anomaly detector called ANet to measure the similarity of mice's local field potential (LFP) features that responded to KT leave extracts and AD flu.