Systems, devices, and methods for monitoring and assessing blood glucose level in a patient are discussed. An exemplary system receives physiologic information from a patient using an ambulatory medical device. The physiologic information is correlated to, and different from, a direct glucose level measurement. The system determines a glucose index indicative of an abnormal blood glucose level using the received physiologic information by the two or more physiologic sensors. The system may use the glucose index to initiate or adjust a therapy, or to trigger a glucose sensor, separate from the two or more physiologic sensors, to directly measure blood glucose concentration.

A wireless stethoscope is described, having wireless sensors that are enclosed in disposable pads so that the same pads are not used on more than one patient, preventing cross-infection of patients associated with conventional stethoscopes. The present wireless stethoscope also detects pulmonary sounds and cardiac sounds, allowing the user to monitor one or the other without interference. Also described is a method for diagnosing a pulmonary condition using the wireless stethoscope.

A method and a device for determining a cardiac function parameter, the device including a sonic sensor for determining timing data of a closure of a mitral valve and an aortic valve, a pressure cuff and a sensing unit coupled to the pressure cuff for sensing. The sensing unit is configured to sense, for each cardiac cycle, blood breakthrough pressure data and corresponding time data from a closing of the mitral valve and data relating to a velocity of propagation of a pressure wave as it travels along at least a portion of the pressure cuff. The device also includes a processing unit for determining a value of at least one cardiac function parameter based on the data.

A system includes one or more sensors to detect activities of a mobile object; and a processor coupled to the sensor and the wireless transceiver to classify sequences of motions into groups of similar postures each represented by a model and to apply the models to identify an activity of the object.

An auscultatory sphygmomanometer system includes a pressure sensing and working module and a cuff. The cuff has a tube connected with the pressure sensing and working module, a gasbag connected with the tube and inflated or deflated according to the working state of the pressure sensing and working module, an audio pickup probe disposed on the gasbag and using a lateral surface of the gasbag as an oscillation membrane, and a cuff body accommodating the gasbag. While the cuff body is wound around a testee's arm, the gasbag is positioned into a first surface neighboring the testee's arm and a second surface opposite thereto and far away from the testee's arm. The connection position where the tube is joined to the gasbag is on the second surface. The sounds picked up by the audio pickup probe are sued to determine the systolic pressure and the diastolic pressure.

Example blood pressure apparatus using active materials and related methods are described herein. An example apparatus includes a band to be worn around a limb of a user, an active material carried by the band and a controller to: (1) apply an activation signal to the active material to constrict blood flow in the limb, and (2) reduce the activation signal to allow blood flow in the limb.

The present invention provides a personal hand-held monitor comprising a signal acquisition device for acquiring signals which can be used to derive a measurement of a parameter related to the health of the user, the signal acquisition device being integrated with a personal hand-held computing device. The present invention also provides a signal acquisition device adapted to be integrated with a personal hand-held computing device to produce a personal hand-held monitor as defined above.

A system includes one or more sensors to detect activities of a mobile object; and a processor coupled to the sensor and the wireless transceiver to classify sequences of motions into groups of similar postures each represented by a model and to apply the models to identify an activity of the object.

A wireless stethoscope is described, having wireless sensors that are enclosed in disposable pads so that the same pads are not used on more than one patient, preventing cross-infection of patients associated with conventional stethoscopes. The present wireless stethoscope also detects pulmonary sounds and cardiac sounds, allowing the user to monitor one or the other without interference. Also described is a method for diagnosing a pulmonary condition using the wireless stethoscope.

Cuffless apparatus comprised of a pressure applicator operated at the wrist or other pulse-taking location and a processing unit implementing a method of measurement of arterial blood pressure and detection of auscultatory gap. Applanation pressure is applied by user's fingers in a pulsatile fashion as per real-time instructions of the processing unit. Pressure magnitude and sound field parameters captured by sensors are used to estimate systolic and diastolic blood pressure by analysis of Korotkoff sounds. User instructions are adjusted during measurement to facilitate self-validation by correlating results of two machine learning approaches: recognition of correlation of derivatives of the pressure and sound amplitude as functions of time, and image recognition of Korotkoff events in sound spectrograms overlayed with pressure traces. The auscultatory gap is detected when sound intensity is reduced by at least forty percent for one or more pulse waves.