Abstract: System and method for determining real-world effectiveness of various prescribed medications. Here a variety of different types of patient pulse wave measurements (e.g., blood pressure, pulse oximeter, ECG) and other physiological measurements are obtained. This actual data is compared to calculated measurements that would be expected based on various patient baseline measurements in the absence of medication, schedule of medications, and impact of medications the various patient baseline measurements. If the actual data meets expectations, then the medication is likely acting as anticipated. Depending on which types of data do not meet expectations, problems with one or more previously described medications may be reported.

Abstract: A system and method for determining the respiratory and other physiological status of a patient. Here, an oscillometric device is mounted on a patient's limb, and oscillometric pulse waveforms are obtained as the device's cuff deflates, thus obtaining pulse wave signals and artifact signals over multiple patient breaths. A computer processor analyzes these signals, and removes artifacts according to various algorithms. The resulting signal can be viewed as containing both an amplitude modulated envelope of pulse waves (AM signals) and a frequency modulated sequence of pulses at various time intervals (FM signals). The main harmonics of the AM and FM signals contain respiratory status data, and the system analyzes both signals. Breathing depth and even pain data may also be obtained by this method. Artifacts caused by aberrant breathing can be distinguished using non-contact microphones and suitable algorithms. The final respiratory status data is output or stored in memory.

Abstract: A system and method for determining the breathing rate of a patient using only an oscillometric device as the physiological sensor. Here, the oscillometric device is mounted on a patient's limb, and oscillometric pulse waveforms are obtained as the device's cuff deflates, thus obtaining pulse wave signals and artifact signals over multiple patient breaths. A computer processor analyzes these signals, and removes artifacts according to various algorithms. The resulting signal can be viewed as containing both an amplitude modulated envelope of pulse waves (AM signals) and a frequency modulated sequence of pulses at various time intervals (FM signals). The main harmonics of the AM and FM signals both contain breathing rate data, and system accuracy can be improved by comparing the AM harmonics with the FM harmonics. The final breathing rate data, often a function of the AM and FM harmonics, is output or stored in memory.

Abstract: A patient monitoring device, system and method, based on a neck mounted monitoring harness configured to be capable of operating in a stand-alone mode. The neck-mounted harness is a rigid or semi-rigid U-shaped device, with its own independent processor, power source, and ECG circuitry, configured to be worn around the patient's neck with ECG electrodes, mounted on opposite ends of the U, configured to straddle opposite sides of the patient's sternum near the patient's heart. The device is also configured to interface with other devices such as patient ear worn oximeters and oscillometric blood pressure monitors. The device processor has the capability of independently operating the sensors, analyzing sensor data, and reporting results. The device is also configured to interface with various types of external computerized devices. The device can be configured to help to prepare patients for cardiac CT scans or other imaging scans, and this application is described in detail.