Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Investigation of Embodiment for Upper Limb Amputees

VA Office of Research and Development · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
Open Source ↗
na
Today, prosthetic hands are numb. They provide no tactile or proprioceptive sensory information back to the user. The lack of sensory feedback has been shown to reduce the utility of a prosthesis by half. The prosthesis is seen as a tool, not as an incorporated part of the body schema. Only now are there chronically-implantable technologies which can provide physiologically appropriate sensory feedback to upper limb amputees to recreate tactile and proprioceptive percepts. These sensations are the building blocks to enable the embodiment of the device. Furthermore, newly developed outcome measures are now available which can detail the improved embodiment such neural interfaces can create. The investigator's mission is to enable the embodiment of artificial devices using peripheral nerve stimulation and thereby close the gap between the experience of our intact physiological systems and those using prosthetic remedies. This investigation of embodiment for upper limb amputees is organized into three main areas of work including 1) normative data collection, 2) device development, and 3) characterization of embodiment using peripheral nerve stimulation. The normative data collection will quantify the embodiment of conventional cosmetic, body-powered, and myoelectric prosthetic hand options using a modified Rubber Hand Illusion protocol (Specific Aim 1). This thrust will ask how does the amount of embodiment vary among conventional prosthetic hands as well as probe the relationship between agency and embodiment. The device development project entails the design of multi-modal sensors in order to study full-hand embodiment (Specific Aim 2). The ability to measure and then elicit sensation on the passive surfaces of the hand (palm, ulnar border, and dorsal surface) has never been explored. Here, a multi-modal sensor which can detect proximity, contact, and force will be integrated into a commercially available prosthetic hand in order to provide detailed measurements ac
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

Record · ID 1093009
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