{"id":278,"date":"2026-09-28T07:38:02","date_gmt":"2026-09-28T07:38:02","guid":{"rendered":"https:\/\/112.220.19.154\/research-news\/"},"modified":"2026-10-09T16:16:19","modified_gmt":"2026-10-09T16:16:19","slug":"research-news","status":"publish","type":"page","link":"https:\/\/www.healthrian.com\/en\/research-news\/","title":{"rendered":"Research & News"},"content":{"rendered":"\t\t
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Research & News<\/p>\n\t\t\t\t\t

From Semiconductor Research to Clinical Validation<\/h1>\n\t\t\t\t\t

Healthrian's wearable technology began with biosignal semiconductor research and has been validated through clinical studies in emergency medicine.<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/section>\n

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Research Foundation<\/p>\n\t\t\t\t\t

A Research Track Record Rooted in Semiconductor Design<\/h2>\n\t\t\t\t\t

Healthrian's technology originated in CEO Taehwan Roh's research on wearable biosignal semiconductors. The low-power sensor ICs, neurofeedback SoCs, and body communication technologies published at leading semiconductor conferences and journals such as ISSCC and JSSC became the foundation of today's WEDIC products and CDMO modules. <\/p>\n\t\t\n<\/div>\n

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Biosignal Sensor ICs<\/h3>\n\t\t\t\t\t

Analog front-end and SoC designs that measure ExG signals such as ECG, EEG, and EMG at just a few \u00b5W.<\/p>\n\t\t\n<\/div>\n

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Neuroengineering \u00b7 BCI<\/h3>\n\t\t\t\t\t

A wearable neurofeedback system combining EEG monitoring with transcranial electrical stimulation (tES).<\/p>\n\t\t\n<\/div>\n

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Wearable Platforms<\/h3>\n\t\t\t\t\t

Body area network (BAN) transceivers and patch and headband systems built on fabric-based circuit boards (P-FCB).<\/p>\n\t\t\n<\/div>\n

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Clinical Validation<\/h3>\n\t\t\t\t\t

A randomized controlled trial of a patch-type wireless 12-lead ECG, conducted together with emergency medicine clinicians.<\/p>\n\t\t\n<\/div>\n\n<\/div>\n

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1,080<\/p>\n\t\t\t\t\t

Google Scholar citations<\/p>\n\t\t\n<\/div>\n

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ISSCC<\/p>\n\t\t\t\t\t

Presented in 2011 \u00b7 2013 \u00b7 2014 \u00b7 2019<\/p>\n\t\t\n<\/div>\n

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3<\/p>\n\t\t\t\t\t

Clinical papers on wearable 12-lead ECG<\/p>\n\t\t\n<\/div>\n

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VLSI \u00b7 SoC<\/p>\n\t\t\t\t\t

Key research areas, including Biomedical<\/p>\n\t\t\n<\/div>\n\n<\/div>\n

\n \t\t\t\n\tGoogle Scholar Profile\n<\/a>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/section>\n
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Sensor Physical AI<\/p>\n\t\t\t\t\t

From On-Device AI Toward On-Sensor AI<\/h2>\n\t\t\t\t\t

Healthrian is adding AI technology on top of its semiconductor design expertise. Aiming for Sensor Physical AI, which interprets biosignals close to the sensor where they originate, we are moving AI computation from the cloud and the device to the sensor itself. <\/p>\n\t\t\n<\/div>\n

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01 \u00b7 CLOUD AI<\/p>\n\t\t\t\t\t

Analysis on the Server<\/h3>\n\t\t\t\t\t

Measured signals are sent to a server for analysis. Computing resources are ample, but this comes with communication latency and the transfer of personal data. <\/p>\n\t\t\n<\/div>\n

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02 \u00b7 ON-DEVICE AI<\/p>\n\t\t\t\t\t

Analysis on the Device<\/h3>\n\t\t\t\t\t

Analysis runs inside smartphones and wearable devices. Because data never leaves the device, real-time performance and security improve. <\/p>\n\t\t\n<\/div>\n

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03 \u00b7 ON-SENSOR AI<\/p>\n\t\t\t\t\t

Interpretation in the Sensor<\/h3>\n\t\t\t\t\t

Signals are interpreted directly inside the sensor IC, and only the necessary information is sent out. This direction, which reduces both power consumption and data volume, is where Healthrian is headed. <\/p>\n\t\t\n<\/div>\n\n<\/div>\n\t\t\t

Semiconductor design \u00d7 biosignal AI \u2014 Because we bring together hands-on experience designing low-power sensor ICs and ECG\/EEG analysis algorithms, we are preparing for the next step: designing the sensor and the AI as one.<\/p>\n\t\t\n<\/div>\n\n<\/section>\n

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Semiconductors \u00b7 Systems<\/p>\n\t\t\t\t\t

Selected Publications<\/h2>\n\t\t\t\t\t

The full list is available on Google Scholar.<\/p>\n\t\t\n<\/div>\n

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IEEE JSSC \u00b7 47(1):323\u2013334, 2012<\/p>\n\t\t\t\t\t

A 75 \u00b5W Real-Time Scalable Body Area Network Controller and a 25 \u00b5W ExG Sensor IC for Compact Sleep Monitoring Applications<\/h3>\n\t\t\t\t\t

An ultra-low-power ExG sensor IC and body area network (BAN) controller for sleep monitoring<\/p>\n\t\t\t\t\t

Lee S, Yan L, Roh T, Hong S, Yoo H-J<\/p>\n\t\t\n<\/div>\n

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IEEE CICC \u00b7 2012<\/p>\n\t\t\t\t\t

A 46 \u00b5W Motion Artifact Reduction Bio-signal Sensor with ICA Based Adaptive DC Level Control for Sleep Monitoring System<\/h3>\n\t\t\t\t\t

A biosignal sensor that reduces motion artifacts using ICA-based adaptive DC control<\/p>\n\t\t\t\t\t

Hong S, Lee S, Roh T, Yoo H-J<\/p>\n\t\t\n<\/div>\n

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IEEE ISSCC \u00b7 2013<\/p>\n\t\t\t\t\t

A 5.5 mW IEEE-802.15.6 Wireless Body-Area-Network Standard Transceiver for Multichannel Electro-Acupuncture Application<\/h3>\n\t\t\t\t\t

An IEEE 802.15.6 standard body area network transceiver for multichannel electrical stimulation<\/p>\n\t\t\t\t\t

Lee H, Lee K, Hong S, Song K, Roh T, Bae J, Yoo H-J<\/p>\n\t\t\n<\/div>\n

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IEEE ISSCC \u00b7 2014<\/p>\n\t\t\t\t\t

A 2.14 mW EEG Neuro-Feedback Processor with Transcranial Electrical Stimulation for Mental-Health Management<\/h3>\n\t\t\t\t\t

A neurofeedback processor for mental health management combining EEG analysis with transcranial electrical stimulation (tES)<\/p>\n\t\t\t\t\t

Roh T, Song K, Cho H, Shin D, et al., Yoo H-J<\/p>\n\t\t\n<\/div>\n

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IEEE Trans. Biomedical Circuits and Systems<\/strong> \u00b7 2014<\/p>\n\t\t\t\t\t

A Wearable Neuro-Feedback System With EEG-Based Mental Status Monitoring and Transcranial Electrical Stimulation<\/h3>\n\t\t\t\t\t

A wearable EEG monitoring and brain stimulation system based on a low-power neurofeedback SoC<\/p>\n\t\t\t\t\t

Roh T, Song K, Cho H, Shin D, Yoo H-J<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/section>\n

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Clinical Research<\/p>\n\t\t\t\t\t

Clinical papers published in international journals<\/h2>\n\t\t\n<\/div>\n
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JMIR mHealth and uHealth<\/strong> \u00b7 2021;9(4):e24142<\/p>\n\t\t\t\t\t

Twelve-Lead Electrocardiogram Acquisition With a Patchy-Type Wireless Device in Ambulance Transport: Simulation-Based Randomized Controlled Trial<\/h3>\n\t\t\t\t\t

Yoon S, Kim T, Roh T, Chang H, Hwang S, Yoon H, Shin T, Sim M, Jo I, Cha W<\/p>\n\t\t\n<\/div>\n

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Interactive Journal of Medical Research<\/strong> \u00b7 2022;11(2):e36335<\/p>\n\t\t\t\t\t

Intervention in the Timeliness of Two Electrocardiography Types for Patients in the Emergency Department With Chest Pain: Randomized Controlled Trial<\/h3>\n\t\t\t\t\t

Yoo S, Chang H, Kim T, Yoon H, Hwang S, Shin T, Sim M, Jo I, Choi J, Cha W<\/p>\n\t\t\n<\/div>\n

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Scientific Reports<\/strong> \u00b7 13, 4044 (2023)<\/p>\n\t\t\t\t\t

Feasibility of patch-type wireless 12-lead electrocardiogram in laypersons<\/h3>\n\t\t\t\t\t

Yoon S, Kim T, Kang E, et al.<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/section>\n

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News<\/p>\n\t\t\t\t\t

Healthrian Channels<\/h2>\n\t\t\t\t\t

Product news and presentation videos are available on our official channels.<\/p>\n\t\t\n<\/div>\n

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YouTube<\/h3>\n\t\t\t\t\t

Product introductions and how-to videos<\/p>\n\t\t\n<\/div>\n

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LinkedIn<\/h3>\n\t\t\t\t\t

Company news and careers<\/p>\n\t\t\n<\/div>\n

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Facebook<\/h3>\n\t\t\t\t\t

Events and exhibitions<\/p>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/section>\n

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Propose a Research Collaboration<\/h2>\n\t\t\t\t\t

We welcome research collaboration inquiries, including clinical studies and the development of new biosignal modules.<\/p>\n\t\t

\n \t\t\t\n\tContact Us\n<\/a>\n\t\t\n<\/div>\n\n<\/div>\n\n<\/div>\n\n<\/section>\n\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Research & News From Semiconductor Research to Clinical Validation Healthrian’s wearable technology began with biosignal semiconductor research and has been […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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