A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application

Duc Tri Phan; Quoc Bao Ta; Thanh Canh Huynh; Tan Hung Vo; Cong Hoan Nguyen; Sumin Park; Jaeyeop Choi; Junghwan Oh

doi:10.1016/j.compbiomed.2021.104610

A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application

Comput Biol Med. 2021 Sep:136:104610. doi: 10.1016/j.compbiomed.2021.104610. Epub 2021 Jun 26.

Authors

Duc Tri Phan¹, Quoc Bao Ta², Thanh Canh Huynh³, Tan Hung Vo¹, Cong Hoan Nguyen¹, Sumin Park¹, Jaeyeop Choi⁴, Junghwan Oh⁵

Affiliations

¹ Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, South Korea; BK21 FOUR 'New-senior' Oriented Smart Health Care Education, Pukyong National University, Busan, 48513, South Korea.
² Department of Ocean Engineering, Pukyong National University, Nam-gu, Busan, 48513, South Korea.
³ Center for Construction, Mechanics and Materials, Institute of Research and Development, Duy Tan University, 03 Quang Trung, Hai Chau, Danang, 550000, Viet Nam; Faculty of Civil Engineering, Duy Tan University, 03 Quang Trung, Hai Chau, Danang, 550000, Viet Nam.
⁴ Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, South Korea; Ohlabs Corporation, Busan, 48513, South Korea.
⁵ Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, South Korea; BK21 FOUR 'New-senior' Oriented Smart Health Care Education, Pukyong National University, Busan, 48513, South Korea; Biomedical Engineering, Pukyong National University, Busan, 48513, South Korea; Ohlabs Corporation, Busan, 48513, South Korea. Electronic address: jungoh@pknu.ac.kr.

PMID: 34274598
DOI: 10.1016/j.compbiomed.2021.104610

Abstract

In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis before dermatological treatment are essential to reduce the side effects and potential dangers. In this article, a smart LED therapy system for automatic facial acne vulgaris diagnosis based on deep learning and Internet of Things application is proposed. The main goals of this study were to (1) develop an LED therapy device with different power densities and LED grid control; (2) propose a deep learning model based on modified ResNet50 and YOLOv2 for an automatic acne diagnosis; and (3) develop a smartphone application for facial photography image capture and LED therapy parameter configuration. Furthermore, a healthcare Internet of Things (H-IoT) platform for the connectivity between smartphone apps, the cloud server, and the LED therapy device is proposed to improve the efficiency of the treatment process. Experiments were conducted on test data sets divided by a cross-validation method to verify the feasibility of the proposed LED therapy system with automatic facial acne detection. The obtained results evidenced the practical application of the proposed LED therapy system for automatic acne diagnosis and H-IoT-based solutions.

Keywords: Deep learning; Facial acne vulgaris diagnosis; LED therapy Control; LED therapy Device.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Acne Vulgaris* / therapy
Deep Learning*
Humans
Internet of Things*
Research Design