Abstract: An exercise machine is provided for agonist-antagonist muscle training. A first variable resistance mechanism has a first line extending therefrom, a second variable resistance mechanism has a second line extending therefrom, and a user-engaged link is coupled to the first line and second line with the first line, second line, and link being aligned along a common axis. When the user applies a first tensile force to the first line via the link, the first line extends from the first variable resistance mechanism against its resistance force while the second line retracts towards the second variable resistance mechanism under its restoring force. Then, when the user applies a second tensile force to the second line via the link, the second line extends from the second variable resistance mechanism against its resistance force while the first line retracts towards the first variable resistance mechanism under its restoring force.

Abstract: An exercise machine is provided for agonist-antagonist muscle training. A first variable resistance mechanism has a first line extending therefrom, a second variable resistance mechanism has a second line extending therefrom, and a user-engaged link is coupled to the first line and second line with the first line, second line, and link being aligned along a common axis. When the user applies a first tensile force to the first line via the link, the first line extends from the first variable resistance mechanism against its resistance force while the second line retracts towards the second variable resistance mechanism under its restoring force. Then, when the user applies a second tensile force to the second line via the link, the second line extends from the second variable resistance mechanism against its resistance force while the first line retracts towards the first variable resistance mechanism under its restoring force.

Abstract: This method and apparatus for automated differential diagnosis of illness utilizes neural network technology to analyze information that has been collected and assimilated from multiple sources, including information concerning lifestyle and travel habits, occupational and environmental risks and other contributory factors, and compares this information to, and incorporates it into, databases, to render diagnoses as well as alerts regarding anomalous concentrations of illnesses. The invention has similar application in the area of mechanical maintenance and repair.