Physiotherapists try to guide revalidating patients and get them going as soon as possible. But how do you know whether the leg, hip, or ankle load is too light, too heavy, or just right? UMC Utrecht asked us to create an IoT solution so they can make decisions based on measurement data and help patients recover better and faster.
SensiStep solution
SensiStep system

The problem

It is difficult for healthcare providers to guide patients toward an optimal load pattern. What is the actual load that patients put on their legs during rehabilitation? In addition, the stationary systems are very expensive and only available in training rooms at specialized centers. The patient is also unable to see how best to put weight on his or her leg for a faster and better recovery. This has led to the development of SensiStep.

Extra details

The SensiStep system

SensiStep consists of a sandal with a sensor, a wearable (called Sensi), and a tablet. These components communicate wirelessly via Bluetooth, Bluetooth Low-Energy (BLE), or Wi-Fi. The patient is given a pair of sandals with a force sensor in the sandals. This registers the axial load on the patient’s heel. The Sensi is carried by the patient. This device processes the load data from the sensor while providing feedback to the patient. The care provider receives a tablet with the StepApp. This app allows the caregiver to adjust settings, such as target load, and view the recorded data in graphs. The healthcare provider can also use a web portal to compare the data.

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