At ZenzeTech we focus on gait mobility, impairments and functionality as well as falling, which is represented in several neurological diseases. Gait is crucial for self-care and the ability to perform every-day tasks. It is an indicator of the quality of life for patients and the treatment efficacy
Evaluate treatment efficacy and improve accordingly
The goal is that neurologists can make a clinical decision within one minute of interpreting the data collected by ZenzeTech.
ZenzeTech offers a novel solution for Parkinson’s patients by leveraging objective data collected about the patient’s gait at home. By providing neurologists with easy-to-understand insights, AI-driven analysis, and a collaborative platform, ZenzeTech improve clinical decision-making, optimise treatment strategies, and empower patients to actively participate in their own care.
With an improved medication, Parkinson’s patients can experience a higher quality of life and receive personalised care that addresses their unique needs.
By integrating real-time data into a secure platform, ZenzeTech enable neurologists to gain deep insights into a patient’s daily life, symptom progression, and response to treatment. This holistic view provides a comprehensive understanding of the patient’s condition, facilitating more accurate clinical decision-making. The goal is that neurologist can make a clinical decision within one minute of interpreting the data collected by ZenzeTech.
Neurologists can identify trends, detect early warning signs, and tailor treatment plans accordingly, all while considering the unique needs and goals of the individual patient.
AI-driven data analysis of gait
Gait phases – Standing, sitting, walking and gait cycles
Gait metrics – Stride speed, stride length, asymmetry, variability
Disease specific gait metrics – Freezing of gait and festination
Falling and near-falling
Activity measures – Step count, total distance covered and total time of activity
Postural stability – Pressure distribution and center of mass
Conncected insoles with sensors for home-monitoring
Pressure sensors to detect pressure distribution and center of mass
9-axis IMU with accelerometer, gyroscope and magnetometer, e.g. to detect stride length, stride speed etc.
Data communication through BLE via the phone
Lithium battery with a lifetime of 30 days before having to be recharged
Wireless charging with a Qi-charger