Abstract: A monitoring system has biomechanical sensors, physiological sensors and a controller which receive sensory inputs from the sensors to provide output signals for the output device, and it detects from the sensory inputs risk of a syncopal event The bio-mechanical sensors include sensors arranged to allow the processor to detect a user postures and posture transitions. The processor operates a finite state machine, in which there is a state corresponding to each of a plurality of user physical postures and to each of a plurality of transitions between said postures, and the processor determines a relevant state depending on the sensory inputs. A device output may be muscle stimulation to prevent syncope, and there are stimulation permissions associated with the finite state machine states.

Abstract: A monitoring system has biomechanical sensors, physiological sensors and a controller which receive sensory inputs from the sensors to provide output signals for the output device, and it detects from the sensory inputs risk of a syncopal event The bio-mechanical sensors include sensors arranged to allow the processor to detect a user postures and posture transitions. The processor operates a finite state machine, in which there is a state corresponding to each of a plurality of user physical postures and to each of a plurality of transitions between said postures, and the processor determines a relevant state depending on the sensory inputs. A device output may be muscle stimulation to prevent syncope, and there are stimulation permissions associated with the finite state machine states.

Abstract: A monitoring system has biomechanical sensors, physiological sensors and a controller which receive sensory inputs from the sensors to provide output signals for the output device, and it detects from the sensory inputs risk of a syncopal event The bio-mechanical sensors include sensors arranged to allow the processor to detect a user postures and posture transitions. The processor operates a finite state machine, in which there is a state corresponding to each of a plurality of user physical postures and to each of a plurality of transitions between said postures, and the processor determines a relevant state depending on the sensory inputs. A device output may be muscle stimulation to prevent syncope, and there are stimulation permissions associated with the finite state machine states.

Abstract: A monitoring system has biomechanical sensors, physiological sensors and a controller which receive sensory inputs from the sensors to provide output signals for the output device, and it detects from the sensory inputs risk of a syncopal event The bio-mechanical sensors include sensors arranged to allow the processor to detect a user postures and posture transitions. The processor operates a finite state machine, in which there is a state corresponding to each of a plurality of user physical postures and to each of a plurality of transitions between said postures, and the processor determines a relevant state depending on the sensory inputs. A device output may be muscle stimulation to prevent syncope, and there are stimulation permissions associated with the finite state machine states.

Abstract: Methods of diagnosing bone disease such as osteoporosis are provided. The methods comprise detecting changes in the physical or chemical structure of a keratinized tissue as correlates of disease. The methods include detecting changes in the hardness, modulus, or level of sulfur bonding, particularly the level of disulfide bonding, in a keratinized tissue sample such as nail, hair, or skin. Changes in these variables serve as diagnostic markers of bone diseases that are associated with changes in bone elasticity and bone density.

Abstract: Methods of diagnosing bone disease such as osteoporosis are provided. The methods comprise detecting changes in the physical or chemical structure of a keratinized tissue as correlates of disease. The methods include detecting changes in the hardness, modulus, or level of sulfur bonding, particularly the level of disulfide bonding, in a keratinized tissue sample such as nail, hair, or skin. Changes in these variables serve as diagnostic markers of bone diseases that are associated with changes in bone elasticity and bone density.

Abstract: Methods of diagnosing bone disease such as osteoporosis are provided. The methods comprise detecting changes in the physical or chemical structure of a keratinized tissue as correlates of disease. The methods include detecting changes in the hardness, modulus, or level of sulfur bonding, particularly the level of disulfide bonding, in a keratinized tissue sample such as nail, hair, or skin. Changes in these variables serve as diagnostic markers of bone diseases that are associated with changes in bone elasticity and bone density.