How do PKMAS software and Zeno Walkway compare to other gait analysis systems?
Zeno Walkway Gait Analysis System (Pressure Mat)
A rollout pressurized walkway with cabling to connect to a computer.
Our gait and balance assessment system can be set up in a matter of minutes. The Zeno Walkway can be laid out permanently or be set up and dismantled for each use. Each time the system is set up, there is a required hardware integrity check that takes a few seconds, to ensure proper hardware function.
There is no setup of the patient/subject required. Nothing is placed on the body of the patient/subject.
Collection Space – The system can be portable or set up in a lab space. The Zeno Walkway System can turn just about any flat, hard surface into a gait lab.
Dependent on the size of the mat. Data can be collected continuously so the patient/subject can walk up and down the Zeno Walkway as many times as is required to collect appropriate sample size.
Data Processing Time
The majority of trials will be processed in less than 1 minute. Some difficult trials may take up to 5 minutes to process.
Temporal-Spatial Gait, Center of Pressure trajectories, Relative Pressure, COMe
Camera-Based Gait Analysis System
A group of cameras, generally 6-16 with cabling to connect with a collection box and then to a computer. These systems are most often coupled with force plates for gait analysis.
Cameras need to be mounted on tripods or onto walls. These need to be placed precisely to create a continuous capture volume. If force plates are used, they need to be placed within the floor in the center of the capture volume.
Once the cameras are set, they need to be calibrated using a dynamic calibration. This takes a few minutes and would ideally be done at least daily.
The subject needs to have passive, reflective markers attached or placed on them. This can vary in time from about 5-20 minutes depending on the marker set. Once the markers are placed, a calibration trial must be calculated with the subject in the center of the capture volume. This collection can take less than a minute.
Most commonly, a room is dedicated for the camera system as a gait lab. These labs tend to be permanent.
Sample Size/Collection Time
This is dependent on the number of cameras and force plates. It is possible to capture a few strides per pass in a common lab space to calculate kinematics. Collecting data for kinetics takes more time due to the requirement for complete footfalls on force plates and generally a limited number of force plates in the lab.
Data Processing Time
Time can vary depending on the presence of force plates, use of assistive devices, and quality of the gait. With force plates labeling foot contacts and foot offs automatically, processing can take less than a minute per pass. Processing can take over 10 minutes per pass for difficult walks. If there are no force plates, foot contacts need to be manually labeled based on marker motion.
Joint Kinematics. If coupled with a force plate, joint kinetics. Can also calculate temporal –spatial parameters for few stances on the forceplate and extrapolated for the rest of the capture area.
IMU-based Gait Analysis System
Multiple IMUs, a charging port, a data receiver or a data logger and a computer.
The accelerometers need to be set to stream or store data. Sensors can store data to be downloaded later or stream data to a computer. Confirmation that the sensors are all streaming properly is necessary with synchronization between sensors.
Accelerometers need to be placed appropriately. This can take a couple of minutes.
The system allows for data collection anywhere. There is not limitation if the sensors are set to store data. If they are streaming, they need to stay within a certain range of the collection computer, usually 10 meters with standard WiFi (without additional antenna).
Data can be collected continuously. Some sensors can run into sensor drift if data collection is too long.
Data Processing Time
This is dependent on the algorithms and the desired data. Continuous collection means that unwanted portions of data need to be excluded. The acceleration signals need to be filtered and processed. The algorithms are the key to data processing times and data accuracy.
Some Temporal-Spatial Gait, some joint motion