| 摘要 |
A portable, self-learning adaptive weight bearing monitoring system for personal use during rehabilitation of neurological disorders and orthopedic lower limb injuries. The system includes a flexible insole or pad which includes at least one pressure and/or force sensor that measures the weight force applied to at least two monitored locations of at least one of the patient's limbs. The sensors are, in turn, connected through an A/D converter to a CPU that compares the distribution of weight on each monitored location of at least one limb to a target weight distribution. The target weight distribution is preferably based on subjective and objective parameters unique to the patient and the injury of the patient. The CPU is connected so as to drive a stimulator that delivers closed-loop sensory stimulation (visual, mechanical vibration, and/or audio) as feedback to encourage the patient to distribute weight more evenly on all monitored locations of at least one limb. Accurate real-time monitoring of the weight bearing during physical rehabilitation is also provided, and, through the use of closed-loop sensory stimulation, the patient is given continuous feedback for improving rehabilitation. |
