physio-rom

imported

software/physio-rom

Physio-ROM: Computer vision, AI Range of Motion Reports -- Winner HealthHack 2017, Sydney

Machine-generated from the listed sources and not yet reviewed by a human.

physio-rom project image — GitHub preview card for admiralakber/physio-rom. Served by its origin, not stored here, and not covered by this registry’s licence.

record

Category: Software & Systems
Subcategory: unknown
License: AGPL-3.0(osi)
Status: dormant
Maturity: deployed
Organization: unknown
Country: unknown
Homepage: unknown
Repository: github.com/admiralakber/physio-rom
Documentation: unknown
Tags: computer-vision · healthcare · openpose · physiotherapy · video-processing
Regulatory: unknown

built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

vitallens.jshealthcare · video-processing
JavaScript package for estimation of vital signs such as heart rate, HRV, and respiratory rate from face video.
RehabMatehealthcare · physiotherapy
復健幫手 — a tiny 3D body pain-mapping tool for rehab clinics: patients tap where it hurts, doctors get a clean list. One HTML file, three.js, no build.
fetal_heart_analysisvideo-processing
Automated tools for analysing fetal heart cardiac videos
Clinic-Physiotherapyphysiotherapy
Clinic of physiotherapy and sports rehabilitation
PhysioProphysiotherapy
Enhancing Mobility with Generative AI-Driven Motion Correction
posture-pulse-frontendphysiotherapy
PosturePulse is an AI-based physiotherapy assistant that provides real-time feedback and personalized exercise programs to help users improve their posture and alleviate pain. This repository…

sources

api.github.com/repos/admiralakber/physio-rom
retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2018-08-02, 29 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/30.json→ .entries["physio-rom"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.