Abstract: The disclosure describes an electronic stethoscope system that automatically detects coronary artery disease in patients. The system uses an electronic stethoscope to record acoustic data from the fourth left intercostal space of a patient. A processing technique is then applied in order to filter the data and produce Fast Fourier Transform (FFT) data of magnitude versus frequency. If a bell curve is identified in the data between a predefined frequency range (e.g., 50 and 80 Hz) with a peak magnitude of greater than a predefined threshold (e.g., 2.5 units), the system automatically provides an output indicating that the patient is likely to have 50 to 99 percent stenosis of the coronary artery. If no bell curve is present, the patient may have artery stenosis of less than 50 percent. An interface module may be used to transfer diagnosis information to the stethoscope and data to a general purpose computer.

Abstract: A method is provided that includes providing a monitoring apparatus including one or more modules within a target cavity or lumen of a body. The one or more modules are provided within the target cavity or lumen in a first state in which the monitoring apparatus is configured to remain within the target cavity or lumen. The method further includes monitoring physiological conditions of the body using one or more sensors within the one or more modules, and providing the one or more modules in a second state in which the monitoring apparatus is configured to exit the target cavity or lumen.

Abstract: A method is provided that includes providing a monitoring apparatus including one or more modules within a target cavity or lumen of a body. The one or more modules are provided within the target cavity or lumen in a first state in which the monitoring apparatus is configured to remain within the target cavity or lumen. The method further includes monitoring physiological conditions of the body using one or more sensors within the one or more modules, and providing the one or more modules in a second state in which the monitoring apparatus is configured to exit the target cavity or lumen.

Abstract: The disclosure describes an electronic stethoscope system that automatically detects coronary artery disease in patients. The system uses an electronic stethoscope to record acoustic data from the fourth left intercostal space of a patient. A processing technique is then applied in order to filter the data and produce Fast Fourier Transform (FFT) data of magnitude versus frequency. If a bell curve is identified in the data between a predefined frequency range (e.g., 50 and 80 Hz) with a peak magnitude of greater than a predefined threshold (e.g., 2.5 units), the system automatically provides an output indicating that the patient is likely to have 50 to 99 percent stenosis of the coronary artery. If no bell curve is present, the patient may have artery stenosis of less than 50 percent. An interface module may be used to transfer diagnosis information to the stethoscope and data to a general purpose computer.

Abstract: A system for fetal position-independent, non-invasive fetal monitoring includes a plurality of disposable adhesive patches for placement on an expectant mother's upper and lower abdomen. Each of the patches includes one or more miniature electronic devices embedded within the adhesive patches to detect: (i) heart sounds of a fetus within the mother, (ii) heart sounds of the mother, and (iii) signals indicative of uterine contractions of the mother. A processing hub having a receiver to receive signals from the plurality of patches, wherein the processing hub receives and processes primary signal from the primary patch and the secondary signals from the secondary patches to triangulate the location of the fetus, cancel noise in the primary signal and increase the amplitude of the primary signal for more reliable reporting.

Abstract: The disclosure describes an electronic stethoscope system that automatically detects coronary artery disease in patients. The system uses an electronic stethoscope to record acoustic data from the fourth left intercostal space of a patient. A processing technique is then applied in order to filter the data and produce Fast Fourier Transform (FFT) data of magnitude versus frequency. If a bell curve is identified in the data between a predefined frequency range (e.g., 50 and 80 Hz) with a peak magnitude of greater than a predefined threshold (e.g., 2.5 units), the system automatically provides an output indicating that the patient is likely to have 50 to 99 percent stenosis of the coronary artery. If no bell curve is present, the patient may have artery stenosis of less than 50 percent. An interface module may be used to transfer diagnosis information to the stethoscope and data to a general purpose computer.

Abstract: The disclosure describes an electronic stethoscope system that automatically detects coronary artery disease in patients. The system uses an electronic stethoscope to record acoustic data from the fourth left intercostal space of a patient. A processing technique is then applied in order to filter the data and produce Fast Fourier Transform (FFT) data of magnitude versus frequency. If a bell curve is identified in the data between a predefined frequency range (e.g., 50 and 80 Hz) with a peak magnitude of greater than a predefined threshold (e.g., 2.5 units), the system automatically provides an output indicating that the patient is likely to have 50 to 99 percent stenosis of the coronary artery. If no bell curve is present, the patient may have artery stenosis of less than 50 percent. An interface module may be used to transfer diagnosis information to the stethoscope and data to a general purpose computer.