A wearable for independent gait therapy – also at home
The start-up CERITER has developed a wearable that analyzes patients' gait in real time and immediately signals to them with audio signals whether they are walking correctly. The company uses a platform to make the results of the gait analysis and active support for therapy available in a clearly structured manner.
Gait analyses are important to see exactly what really happens when walking. They form the basis of gait therapy and have so far mainly taken place in stationary settings and under the supervision of a therapist. Gait analyses and gait therapies are frequently used for these medical indications:
after injuries or operations
neurological diseases such as stroke, multiple sclerosis, and Parkinson's disease
physical disabilities – for the customization of walking aids or prostheses
health problems of the elderly.
Every gait therapy first needs a gait analysis
A brief insight into current stationary technologies
One point is particularly important for all indications: that the therapy takes place regularly and, above all, correctly through targeted training. There is a major hurdle here: the lack of specialists in clinics and rehabilitation centers and the resulting lack of time for each individual patient. One solution to these problems could be wearables that make it possible for therapists to personally accompany and optimize the therapy, but also for patients to do exercises independently - both as inpatients and at home, without the specialists having to stand by.
We show how the new wearable from Belgian-Dutch company CERITER makes this possible:
Hear what good walking feels like
From sensor to smartphone to sound
The wearable from CERITER with the Stride One platform has been on the market for two years. The principle is simple: a thin and flexible insole in the shoe collects data via sensors in a clip on the shoe and then sends it to a smartphone via Bluetooth. The data is then sent to the physiotherapist via the stored portal.
The special feature of the system is that the data transmitted in real time can trigger audio signals that confirm to the user that the movement is being performed correctly. This makes it immediately clear whether someone is not stepping firmly or gently enough, or is putting the wrong weight on the foot. For patients, the audio signal is therefore a simple aid to immediately improve their gait. And this in turn increases their motivation for further training.
The following video shows the first training session and the use of the audio signal during walking. (The video contains no spoken text.)
How do users experience the training system? Piet Stevens, founder of Ceriter:
What has been the biggest challenge in developing the device?
Example: A patient trains the push-off pressure of her left foot
Gait therapy after knee surgery with knee endoprosthesis
(Tip: Move the slider to the right and left to see the change in the dashboard below!)
Before (left image, blue background): shows, among other things, the push-off value of the left foot before training. This is the value of the pressure when pushing off from the ground (blue bar). The graph shows that the pressure on the left big toe and the midfoot is only strong enough for 8 percent of the steps.
After: The values in the right-hand image (gray background) show the values after the first training session with audio signals.
The push-off value now shows that the patient has increased the pressure from just 8 percent to 75 percent.
Dashboard with Details
If required, the graph above can be expanded to show even more precise data on the load during training, also over a period of time. As the values are always displayed for both feet, asymmetries become clear: which foot is loaded more or less? The “stance ratio” shows the stance ratio per step. Is the patient exercising correctly or is she perhaps neglecting one side? How long is the swing phase and is the sequence correct?
This allows the therapist to see all developments directly and remotely over a longer period of time and give appropriate instructions for further training.
Medical wearables and their possibilities
Real-time monitoring
Wearables can collect real-time data on gait style and movement patterns, allowing therapists to continuously monitor and adjust therapy.
Personalized therapy plans
The data collected enables personalized therapy by highlighting individual patterns and needs. Therapists can track progress and adjust exercises accordingly.
Biofeedback
Wearables can send visual or auditory signals to correct patients in real time. This improves self-recognition of poor posture and supports correct gait.
Remote therapy
Wearables can also be used outside the clinic, enabling remote therapy and telemedicine. Therapists can monitor progress and provide feedback remotely, give feedback and change settings.
Improved collaboration
Wearables enable better communication and collaboration between all parties involved, leading to more holistic treatment.
Piet Stevens underlines the potential of portable measuring devices.
Advantages from an economic perspective
The introduction of new technologies can improve therapeutic effectiveness. It also offers economic benefits. Faster recovery times reduce the overall cost of treatment and shorter rehabilitation times mean both less resource consumption and lower personnel costs. The precise measurement data helps to optimize therapies and achieve verifiable results, which in turn improves quality assurance and reporting to insurance companies, for example.
Human experience and modern technology as a recipe for success
Wearables can be seen as valuable tools in rehabilitation. However, the human component and experience of therapists will remain essential. This is because they can customize therapy plans based on their personal observations and interactions that go beyond what wearables can capture. They motivate, guide and support their patients in a way that devices cannot replace. This is because they are trained to recognize changes in the patient's condition that may not be fully detected by sensors. They can react accordingly and adjust the treatment plan immediately. And, of course, human interaction plays a crucial role in providing motivation and emotional support.
Ideally, the combination of technology and human experience leads to the best possible therapeutic success.