Juhyeon Lee

ORCID: 0000-0002-6877-6329
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About
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Research Areas
  • Genetic Neurodegenerative Diseases
  • Balance, Gait, and Falls Prevention
  • Stroke Rehabilitation and Recovery
  • Vestibular and auditory disorders
  • Botulinum Toxin and Related Neurological Disorders
  • Muscle activation and electromyography studies
  • Advanced MIMO Systems Optimization
  • Neurological disorders and treatments
  • Cerebral Palsy and Movement Disorders
  • DNA Repair Mechanisms
  • Cooperative Communication and Network Coding
  • Mitochondrial Function and Pathology
  • Energy Harvesting in Wireless Networks

Amherst College
2019-2024

University of Massachusetts Amherst
2019-2024

Ewha Womans University
2019

In this paper, we propose a distributed solution to design multi-hop ad hoc Internet of Things (IoT) network where mobile IoT devices strategically determine their wireless transmission ranges based on deep reinforcement learning approach. We consider scenarios only limited networking infrastructure is available but large number are deployed in building deliver source data the destination. An device considered as decision-making agent that determines its range way maximizes throughput while...

10.1109/jsen.2019.2949997 article EN publisher-specific-oa IEEE Sensors Journal 2019-10-29

Abstract Objective Frequent and objective assessment of ataxia severity is essential for tracking disease progression evaluating the effectiveness potential treatments. Wearable-based assessments have emerged as a promising solution. However, existing methods rely on inertial data features directly correlated with subjective coarse clinician-evaluated rating scales, which serve imperfect gold standards. This approach may introduce biases restrict flexibility in feature design. To address...

10.1101/2025.02.28.25323114 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-03-04

Assessment of motor severity in cerebellar ataxia is critical for monitoring disease progression and evaluating the effectiveness therapeutic interventions. Though wearable sensors have been used to monitor gait tasks order enable frequent assessment, existing solutions only estimate performance rather than comprehensive severity. In this study, we propose a new approach that analyzes sub-second movement profiles lower-limbs during overall ataxia.A total 37 subjects 12 healthy performed 5 m...

10.1109/tbme.2022.3142504 article EN publisher-specific-oa IEEE Transactions on Biomedical Engineering 2022-01-13

Background The key for successful stroke upper-limb rehabilitation includes the personalization of therapeutic interventions based on patients’ functional ability and performance level. However, therapists often encounter challenges in supporting personalized due to lack information about how survivors use their stroke-affected arm outside clinic. Wearable technologies have been considered as an effective, objective solution monitor patterns naturalistic environments. these remained a proof...

10.1371/journal.pone.0274142 article EN cc-by PLoS ONE 2022-10-20

Stroke is a leading cause of permanent impairments worldwide. survivors can improve their motor function through intensive and longitudinal rehabilitation therapies. However, therapy in outpatient settings often does not provide sufficient amount for meaningful patients' recovery. Hence, patients need to perform therapeutic exercises home settings. despite the widely acknowledged importance executing exercise movements therapeutically desirable ways, stroke practice undesirable manner,...

10.1109/bhi50953.2021.9508566 article EN IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) 2021-07-27
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