How does the Balance Mat work?
People often ask me how the Balance Mat works. I have jotted down a few words to answer the most frequently asked questions.
The Balance Mat measures the postural sway of a person standing on the mat in certain stances: normal, tandem, left foot, right foot. These stances are clearly marked by footprints identifying where the person being tested is required to stand.
Balance Mat – 14 data points per footprint
Within the mat substrate a single plastic optical fibre is woven in a crossing grid pattern in such a way that there are 14 crossover points in the substrate beneath each footprint, and therefore a total of 28 crossover points beneath a person standing with both feet on the mat. As movement on the mat surface increases, each of the 28 crossover points contributes to ‘measuring’ the cumulative movement (or postural sway) of the person standing on the mat.
A single sensor in the Balance Mat
A single sensor in the corner of the mat sends light through the fibre and then receives the light once it has passed through the fibre mesh. The sensor sends 40 pulses of light per second (40 Hertz) through the fibre mesh equating to 800 light pulses during a 20 second test. These 800 pulses are received by the sensor as data points and transmitted to the computer to create a signal shown as a graph.
No movement – a flatline graph
When there is no movement on the mat surface all these data points are zero, producing a flat line graph. As movement on the mat surface increases the data points increase in value, producing increasingly large waves and spikes in the graph.
How the score is derived
At the conclusion of the 20 second test the values of all data points are added together and divided by 800 to produce the mean (average) which is presented as the Balance Score.
Two different Balance Mat test scales
A person’s standing balance is tested in the normal stance. The normal stance results fall within the following three categories:
Excellent: 0 to 0.3
Good: 0.3 to 1
Poor: Above 1
A person’s balance in the tandem and single-legged stances have a different range. These results fall within the following three categories:
Excellent: 0 to 2
Good: 2 to 10
Poor: Above 10
Physiotherapists, exercise physiologists and medical practitioners can use Balance Mat test results to ascertain if a person has a balance problem and treat them accordingly.
Balance is a universal health indicator
Given that balance (or postural sway) is a universal health indicator, poor results in the normal stance can tell the practitioner if the person has a potentially serious health problem such as a neurological issue or diabetes. Approximately 10% of people tested are in this category and require further investigation or treatment.
Poor balance in the other stances could indicate that the person has compromised or diminishing body strength (e.g. sarcopenia – age-related muscle loss). Alternatively, it could be that they have had an injury that needs further rehabilitation.
Test-treat-repeat-ability
The Balance Mat provides a useful outcome measure that can be updated many times during a person’s treatment – offering the practitioner test-treat-repeat-ability over an extended period of time.
Green light given for balance testing research at James Cook University
Ian Bergman2024-11-20T11:12:40+11:0013/11/2024|
A day to remember for Balance Metrix
Ian Bergman2024-12-02T14:10:07+11:0011/11/2024|
Balance Mat at Dee Why Beach for World Clinical Exercise Physiology Day 2024
Ian Bergman2024-10-15T10:08:35+11:0010/10/2024|
Machine learning research aims to facilitate earlier falls intervention
Ian Bergman2024-09-18T11:21:29+10:0010/09/2024|
Meeting old friends and new at ESSA Research to Practice event
Ian Bergman2024-05-20T11:48:21+10:0018/05/2024|
Keeping the Balance Mat dream (& me) alive
Ian Bergman2024-06-03T12:48:34+10:0030/04/2024|
How does the Balance Mat work?
People often ask me how the Balance Mat works. I have jotted down a few words to answer the most frequently asked questions.
The Balance Mat measures the postural sway of a person standing on the mat in certain stances: normal, tandem, left foot, right foot. These stances are clearly marked by footprints identifying where the person being tested is required to stand.
Balance Mat – 14 data points per footprint
Within the mat substrate a single plastic optical fibre is woven in a crossing grid pattern in such a way that there are 14 crossover points in the substrate beneath each footprint, and therefore a total of 28 crossover points beneath a person standing with both feet on the mat. As movement on the mat surface increases, each of the 28 crossover points contributes to ‘measuring’ the cumulative movement (or postural sway) of the person standing on the mat.
A single sensor in the Balance Mat
A single sensor in the corner of the mat sends light through the fibre and then receives the light once it has passed through the fibre mesh. The sensor sends 40 pulses of light per second (40 Hertz) through the fibre mesh equating to 800 light pulses during a 20 second test. These 800 pulses are received by the sensor as data points and transmitted to the computer to create a signal shown as a graph.
No movement – a flatline graph
When there is no movement on the mat surface all these data points are zero, producing a flat line graph. As movement on the mat surface increases the data points increase in value, producing increasingly large waves and spikes in the graph.
How the score is derived
At the conclusion of the 20 second test the values of all data points are added together and divided by 800 to produce the mean (average) which is presented as the Balance Score.
Two different Balance Mat test scales
A person’s standing balance is tested in the normal stance. The normal stance results fall within the following three categories:
Excellent: 0 to 0.3
Good: 0.3 to 1
Poor: Above 1
A person’s balance in the tandem and single-legged stances have a different range. These results fall within the following three categories:
Excellent: 0 to 2
Good: 2 to 10
Poor: Above 10
Physiotherapists, exercise physiologists and medical practitioners can use Balance Mat test results to ascertain if a person has a balance problem and treat them accordingly.
Balance is a universal health indicator
Given that balance (or postural sway) is a universal health indicator, poor results in the normal stance can tell the practitioner if the person has a potentially serious health problem such as a neurological issue or diabetes. Approximately 10% of people tested are in this category and require further investigation or treatment.
Poor balance in the other stances could indicate that the person has compromised or diminishing body strength (e.g. sarcopenia – age-related muscle loss). Alternatively, it could be that they have had an injury that needs further rehabilitation.
Test-treat-repeat-ability
The Balance Mat provides a useful outcome measure that can be updated many times during a person’s treatment – offering the practitioner test-treat-repeat-ability over an extended period of time.
Green light given for balance testing research at James Cook University
Ian Bergman2024-11-20T11:12:40+11:0013/11/2024|0 Comments
An esteemed team of allied health researchers from the College of Healthcare Sciences at JCU in Townsville have now received ethical approval for a body of research involving the Balance Mat. The team comprises ...
A day to remember for Balance Metrix
Ian Bergman2024-12-02T14:10:07+11:0011/11/2024|0 Comments
Another healthcare inventor and I have teamed up! Today is a very important day for Balance Metrix. It's the launch date of our StandSure - BalanceMore rehabilitation kit. And it also happens to be ...
Balance Mat at Dee Why Beach for World Clinical Exercise Physiology Day 2024
Ian Bergman2024-10-15T10:08:35+11:0010/10/2024|0 Comments
Team Balance had a wonderful time at Dee Why Beach on Monday 23 September 2024 supporting Danny Miller and her crew of exercise physiologists on World Clinical Exercise Physiology Day. Margaret Metz and I ...
Machine learning research aims to facilitate earlier falls intervention
Ian Bergman2024-09-18T11:21:29+10:0010/09/2024|0 Comments
Having the ability to predict falls is the holy grail for balance researchers. A machine learning project being undertaken by Balance Mat Pty Ltd electronics engineer Abishek Shrestha is attempting to achieve that lofty ...
Meeting old friends and new at ESSA Research to Practice event
Ian Bergman2024-05-20T11:48:21+10:0018/05/2024|0 Comments
I was humbled by the support my Balance Mat invention and I received at the Exercise and Sports Science Australia (ESSA) Research to Practice event held in Sydney from 2 to 4 May 2024. ...
Keeping the Balance Mat dream (& me) alive
Ian Bergman2024-06-03T12:48:34+10:0030/04/2024|0 Comments
This long-form story is intended to dispel any confusion about the respective roles of Balance Metrix and Balance Mat Pty Ltd personnel. In light of an announcement on LinkedIn by my fellow board member ...