# Effects of an ICT-Based Wearable Intervention on Physical Function in Arteriosclerosis Obliterans: A 12-Week Study

**Authors:** Gwon-Min Kim, Jaewon Choi, Changsung Han, Miju Bae, Jong-Hwan Park, Il Jae Wang, Bokun Kim, Chanhee Song, Up Huh

PMC · DOI: 10.3390/life16030441 · Life · 2026-03-09

## TL;DR

A 12-week wearable tech intervention improved walking ability in patients with arteriosclerosis obliterans compared to a control group.

## Contribution

Demonstrates effectiveness of ICT-based wearable interventions in improving gait outcomes in arteriosclerosis obliterans patients.

## Key findings

- The intervention group showed significant improvements in gait speed and 6 min walk test distance compared to the control group.
- Machine learning analysis identified gait speed and 6MWT distance as key variables for functional-status characterization.

## Abstract

Arteriosclerosis obliterans (ASO) is associated with impaired walking function and claudication. However, the effects of information and communication technology (ICT)-based wearable interventions on objectively measured gait outcomes in this population have not been determined. In this 12-week intervention, 52 patients with ASO were randomly assigned to an ICT-based wearable-assisted exercise intervention (n = 30) or a control (n = 22) group. All participants wore a triaxial accelerometer–based device on the non-dominant wrist to monitor moderate-to-vigorous physical activity (MVPA), expressed as average min/day. The intervention group received structured exercise guidance, including walking and lower-limb strengthening exercises, and weekly feedback based on device data; the control group received no exercise instruction or feedback. Primary outcomes were gait speed and 6 min walk test (6MWT) distance; secondary outcomes included MVPA and cognitive function. The intervention group showed significant improvements in gait speed and 6MWT distance compared with those in the control group (p < 0.05), indicating enhanced ambulatory function. An exploratory machine learning analysis suggested that gait speed and 6MWT distance are informative variables for functional-status characterization. ICT-based wearable interventions may serve as scalable approaches for functional rehabilitation in ASO; larger, longer-term studies should confirm these effects and clarify the underlying mechanisms.

## Linked entities

- **Diseases:** Arteriosclerosis obliterans (MONDO:0006659)

## Full-text entities

- **Diseases:** impaired walking function (MESH:D013009), ASO (MESH:D001162), claudication (MESH:D007383)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC13028079/full.md

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Source: https://tomesphere.com/paper/PMC13028079