Heel2Toe Docking Station

Heel2Toe Docking Station
Heel2Toe Docking Station
Developer: Ted Hill
Category: Health & Fitness
25 installs
Ratings not yet available
4.00 monthly active users
Revenue not available
Install Trends
Weekly +1.00
Steady
Monthly +4.00
Steady

Heel2Toe Docking Station Summary

Heel2Toe Docking Station is a mobile Android app in Health And Fitness by Ted Hill. Released in Oct 2025 (4 months ago). It has about 25+ installs Based on AppGoblin estimates, it reaches roughly 4.00 monthly active users . Store metadata: updated Feb 16, 2026.

Recent activity: 1.00 installs this week (4.00 over 4 weeks) showing steady growth View trends →

Store info: Last updated on Google Play on Feb 16, 2026 .


0★

Ratings: 0

5★
4★
3★
2★
1★

Screenshots

App screenshot
App screenshot
App screenshot
App screenshot

App Description

Companion for managing sessions from the Heel2Toe device.

The Docking Station is the companion for managing sessions from the Heel2Toe device, built for both individual users and clinics.

Home Screen is the main landing page after login. It provides an at-a-glance overview of analytics and client information, including:
- A user or client profile card with an editable name and age.
- A Risk of Fall assessment card that calculates and displays fall-risk probability using heel-strike data and age.
- Key statistics such as total sessions and last session date.
- A Sessions per Week bar chart that visually tracks activity over time.

The app supports two distinct usage modes:
- Single-User Mode: for individual users.
- Multi-Client Clinic Mode: for healthcare providers managing multiple clients.
Switch modes directly from the Home Screen. In clinic mode, you can select an existing client from a dropdown, view filtered analytics, or add new clients. Client data (name and age) is now stored and managed in a secure Firestore sub-collection called clientsLocal for faster access and reliable synchronization.

Risk of Fall Analytics implements a logistic regression model that predicts fall-risk probability based on heel-strike data and client age. A dedicated Risk of Fall screen provides a detailed breakdown of the assessment and supports progress tracking over time.