Kinvent develops a suite of connected physical therapy devices that provide real-time biofeedback data to assess strength, balance, and range of motion in patients. This technology enhances patient engagement and enables physiotherapists to track progress efficiently, improving rehabilitation outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Physical therapists often lack objective, real-time data during patient rehabilitation, making it difficult to precisely assess progress and tailor interventions. Traditional assessment methods can be time-consuming, lack detailed biofeedback, and may not effectively engage patients in their recovery.
Solution
Kinvent offers a suite of connected biomechanical devices and a mobile application that provides real-time biofeedback data to physical therapists. The platform enables clinicians to accurately measure and track a patient's strength, balance, range of motion, and muscle activation. By visualizing performance metrics and progress, patients are motivated to adhere to personalized rehabilitation goals. The system facilitates data-driven decision-making, allowing therapists to optimize treatment plans and improve patient outcomes.
Target Audience
The primary target audience includes physical therapists, sports medicine professionals, and rehabilitation specialists who seek objective data and biofeedback tools to enhance patient engagement and improve rehabilitation outcomes.
Features
- Wireless sensors for measuring force, motion, pressure, and muscle activity
- Real-time biofeedback displayed within the Kinvent Physio mobile application
- Guided protocols and rehabilitation exercises for various conditions
- Personalized patient profiles with PDF and CSV reporting options
- Offline functionality for assessments without an internet connection
- Cloud syncing for data backup and access across devices
- K-Force Plates for static and dynamic balance assessment
- K-Push, K-Pull, K-Grip, and K-Bubble dynamometers for strength testing
- K-Move motion sensor for range of motion and movement quality analysis