ClinicalTrials.gov
public full text
Public Domain
Feasibility Study for Treating Trichotillomania With Wearable Device and App System
Trichotillomania is characterized by recurrent hair pulling resulting in hair loss causing significant distress and impairment which persists despite repeated attempts to stop. Behavioral based therapies focused on increasing awareness of hair pulling followed by the use of an incompatible behavior have proven effective. In an effort to enhance awareness, a wrist worn motion detection device was created. In this study, we will test the feasibility of the HabitAware device and accompanying app as a system for delivering self-administered habit reversal training (HRT).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Leveraging Technological Advancements to Improve the Treatment of Trichotillomania#1152439
- Wearable Device and Behavioral Support for Enhancing Arm Use After Stroke#1162576
- Development and Evaluation of A Game-Based Mobile App for Increasing Physical Activity in Autistic Adults#1010603
- Enhanced Human Sensorimotor Integration Via Self-modulation of the Somatosensory Activity#877460
- Using Augmented Reality to Promote Physical Activity in Children With Cerebral Palsy#900578
Record · ID 805255
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive