10-19 products | 5% |
20-39 products | 10% |
40-99 products | 15% |
100-199 products | 20% |
200-499 products | 25% |
500+ | 30% |
Not included in discounting:
Product packs – they already incorporate a discount.
Electronic products are not discounted at bulk rates.
Contact our office on noi@noigroup.com for a quote.
Where non-painful movements are the goal, Flash Cards are an important tool in the treatment and rehabilitation of pain states where left/right discrimination changes have been identified. With knee pain, even simple exercises may cause pain if your brain can’t recognise whether you are using your left or right side. Recognise is the first way to accurately measure the ability to recognise left and right body parts and movements, and to train your left/right discrimination as part of a comprehensive Graded Motor Imagery (GMI) rehabilitation program. GMI has been shown to offer substantial gains in pain and disability for people with pathological pain syndromes such as complex regional pain syndrome (CRPS) and phantom limb pain. New research suggests trialling parts of the GMI program for chronic pain conditions such as lower back pain and whiplash.
GMI is a sequence of strategies including laterality restoration, motor imagery and mirror therapy. They are an ideal companion to the Recognise App, adding increased variety and social context. For background knowledge and instruction for the GMI process, refer to the Graded Motor Imagery book or Graded Motor Imagery ePub , or read through our GMI page.
Each flash card set includes:
• 48 images (24 left and 24 matching right images) on durable plasticoated card
• A non-permanent marker for writing on the reverse side of the cards
• An instruction sheet with a reference list and suggestions of games to ‘retrain as you play’
• A sturdy box/container
Flash Card sets are available individually for hand, foot, back, neck, shoulder and knee, or in an Upper Body pack or Lower Body pack.
GMI resources
Find out more about Graded Motor Imagery
Read our blogs on GMI
Evidence-base document for GMI
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