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2 Study Matches

Feasibility, Safety and Acceptability of a Mobile Health Delivered Exercise Training Program in Patients with Nonalcoholic Steatohepatitis

This study will be a pilot study to evaluate the workability, safety and acceptability of Exercise and Liver FITness (EL-FIT), a mHealth exercise training program previously confirmed in patients with cirrhosis,(1) in patients with Nonalcoholic Steatohepatitis (NASH)

El-Fit NASH (Nonalcoholic Steatohepatitis) is a 9-week intervention trial for patients with NASH. Our goal is to evaluate the workability, safety and acceptability of Exercise and Liver FITness (EL-FIT), a mHealth exercise training program. The El-FIT application allows for participants to access to a library of guided workouts. All patients will be asked to complete a screening visit that includes a physical exam, height, and weight measurements & surveys. Participants will be asked to download the EL-Fit NASH application and use it for 8 weeks. In addition to using the application, participants will be asked to complete 3 check-in phone calls through-out the 8 weeks.

Yes
 

Justin Tondt
Stine Laboratory at StineLaboratory@pennstatehealth.psu.edu or 717-531-0003, ext=320222
Family and Community Medicine (HERSHEY)
 

All
18 year(s) or older
This study is NOT accepting healthy volunteers
NCT06195943
STUDY00022771
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Inclusion Criteria:
18 years or older
Evidence of NASH
Posission of a Smart Phone

Exclusion Criteria:
Active cardiac Symptoms
Active or recent participation in exercise training program within the last 90 years
Active or recent weight-loss supplement use within the last 90 days
Active illicit substance use
Cancer that is active
Digestive Systems & Liver Disease, Sports Medicine
Not applicable
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See this study on ClinicalTrials.gov
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Location Contacts
Hershey, PA ,

Convergence of online machine learning policies for haptic feedback

The purpose of this study is to determine whether a machine-learning based algorithm for generating on-skin feedback can be trained quickly and can adapt quickly to changes in the environment. Participants will have an armband with vibration motors and microcontroller fitted to their right arm. They will provide indication about where around the circumference of their arm, they feel the vibration using a joystick. The joystick responses will be used to update a machine learning policy online such that the desired joystick responses match the actual ones by adjusting the levels of vibration in each motor.

There will be one in-person visit. You will have an armband with vibration motors and microcontroller fitted to your right arm. You will grasp a small joystick and move the stick around following the indications given by the vibration and/or visual display.

15

Yes
 

Katie Fitzsimons
Zachary Logan - at zal5@psu.edu
Mechanical and Nuclear Engineering (UNIVERSITY PARK)
 

All
18 year(s) or older
This study is also accepting healthy volunteers
STUDY00026482
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Inclusion Criteria:
Able-bodied
Right-handed

Exclusion Criteria:
upper-limb injuries
neuromotor disorder
Not applicable
I'm interested
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Study Locations

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Location Contacts
State College, PA ,