Skip To Main Content
Hyang Jun Lee on Muck Rack

Hyang Jun Lee

As seen in: PLOS, Neurology Journal
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hyang Jun

Contact Hyang Jun, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Development of a Gait Feature-Based Model for Classifying Cognitive Disorders Using a Single Wearable Inertial Sensor

|
By Jeongbin Park, Hyang Jun Lee, Ji Sun Park, Chae Hyun Kim
| Neurology Journal Verified
REQUIREMENTS You must ensure that your Disclosures have been updated within the previous six months. Please go to our Submission Site to add or update your Disclosure information. Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.
Open in Who Shared View Duplicates (23) Issue with article?

Development of a Gait Feature-Based Model for Classifying Cognitive Disorders Using a Single Wearable Inertial Sensor

|
By Jeongbin Park, Hyang Jun Lee, Ji Sun Park, Chae Hyun Kim
| Neurology Journal Verified
REQUIREMENTS You must ensure that your Disclosures have been updated within the previous six months. Please go to our Submission Site to add or update your Disclosure information. Your co-authors must send a completed Publishing Agreement Form to Neurology Staff (not necessary for the lead/corresponding author as the form below will suffice) before you upload your comment.
Open in Who Shared View Duplicates (34) Issue with article?

Development of a gait speed estimation model for healthy older adults using a single inertial measurement unit

|
By Hyang Jun Lee, Ki Woong Kim, Ji Sun Park
| PLOS
Development of the gait speed estimation models To measure steady-state walking, we analyzed the data of the central 10m of 14m flat straight walkways, after eliminating the 2m-long walk prior to the start and each turn. As illustrated in Fig 1, we preprocessed the IMU signals, selected features, and identified each step, as described in detail in our previous work [10]. We obtained the comparative gold standard gait speed from the GAITRite™.
Open in Who Shared Issue with article?
See all 4 articles