Abstract: A microsensor array system, comprising a pad, a plurality of actuators attached to the pad, and a plurality of microprobes, wherein substantially each microprobe in the plurality of microprobes is attached to a respective actuator in the plurality of actuators.

Abstract: A adaptive recursive method for detecting statistically significant changes in data performs steps that include: determining a mean and standard deviation for incoming data; flagging non-conforming data; detecting signals, trends, and/or shifts in the data, and resetting the mean and standard deviation under prescribed circumstances based on predetermined criteria, and then displaying statistics derived from the data.

Abstract: One embodiment is a microprobe. An example of the microprobe comprises a housing having an aperture. This example of the microprobe also comprises an ISFET attached to the housing. The ISFET may have a gate located proximate the aperture. This example of the microprobe further comprises a reference electrode attached to the housing proximate the aperture. Another embodiment is a microsensor system. Another embodiment is a method for measuring a characteristic of tissue. Yet another condition embodiment is a method for monitoring tissue pH.

Abstract: One embodiment is a microprobe. An example of the microprobe comprises a housing having an aperture. This example of the microprobe also comprises an ISFET attached to the housing. The ISFET may have a gate located proximate the aperture. This example of the microprobe further comprises a reference electrode attached to the housing proximate the aperture. Another embodiment is a microsensor system. Another embodiment is a method for measuring a characteristic of tissue. Yet another embodiment is a method for monitoring tissue pH.

Abstract: An automatic medical monitor of the present invention comprises medical s sensors for collecting a time-ordered set of values representative of medical signs such as pulse, respiration, and blood pressure. The medical sign sensors are coupled to a medical sign data processor that forms statistics from the medical sign data and forms a modified Fast Initial Response (FIR) Shewhart cumulative sum and a variance cumulative sum to detect changes in health state. When a change in health state is detected, the medical sign data processor displays the statistics on a display and logs them on a printer.