CI MED Research Tracks the ‘Secret Sauce’ of Tai Chi’s Effect on Balance in Aging
Scientists at Carle Illinois College of Medicine have uncovered clues on how aging and practicing the ancient exercise of Tai Chi affect the brain-muscle connection while maintaining balance. Their work takes an innovative technology-based approach to identifying the ‘secret sauce’ behind Tai Chi’s mind-body benefits and applying those discoveries to other forms of exercise to improve health.
Wearable sensors for Parkinson’s can improve with machine learning, data from healthy adults
Low-cost, wearable sensors could increase access to care for patients with Parkinson’s disease. New machine-learning approaches and a baseline of data from healthy older adults improve the accuracy of the results from such sensors, University of Illinois Urbana-Champaign researchers and clinical collaborators found in a new study.
Study examines brain activity and balance changes as we age
When an older adult sways while standing or carefully adjusts their footing on uneven ground, it’s probably not all about weakened muscles. New interdisciplinary research suggests these effects may be outward signs of changes in brain activity that accompany aging, even in healthy people…
Maxine He selected as Thomas and Margaret Huang Award for Graduate Research Recipient
Maxine He, a 4th year Neuroscience program graduate student, was the recipient of the Thomas and Margaret Huang Award for Graduate Research for her work focused on stress and anxiety detection using multimodal wearable technology.
This AI Watches You Walk to Diagnose Parkinson’s, MS
When it’s suspected that a person may have a certain neurological disorder, such as multiple sclerosis or Parkinson’s disease, doctors will often assess the person’s ability to walk. Simply by looking at someone’s gait, clues may emerge about an underlying neurological disorder….
Team uses digital cameras, machine learning to predict neurological disease
In an effort to streamline the process of diagnosing patients with multiple sclerosis and Parkinson’s disease, researchers used digital cameras to capture changes in gait – a symptom of these diseases – and developed a machine-learning algorithm that can differentiate those with MS and PD from people without those neurological conditions…
Study aims to reduce fall injuries
As people age, certain physical activities become more challenging, and there is a greater risk of exertion which can lead to serious injury…
The Chittenden Symposium was a family affair
The theme of the 2022 Chittenden Symposium is Human Factors for Health Technology. But the heart of the event is really a love story…
Paying attention to balance (pdf)
Welcome to this issue of Moving Forward, my fifth as dean of the College of Applied Health Sciences…
Making a global impact
KCH Faculty among those awarded Jump ARCHES Funding
Use of machine learning
Can a wearable device combined with PT improve results?
Researcher Spotlight
Wearable Tech being used to assess healthcare worker stress