Abstract: A device including sensors and a processor. The sensors are configured to detect movements of a user. The processor is configured to categorize the movements of the user as a micro-movement or a macro-movement; quantify a number of the micro-movements; quantify a number of the macro-movements; determine based upon the number of micro-movements whether a body part of interest of a user is supported; and provide feedback to the user if the body part of interested is unsupported and continuing to monitor the body part of interest if the user is supported without providing any feedback.

Abstract: Apnea-hypopnea detection includes obtaining accelerometer data from an accelerometer configured to measure micro-movements that are due to respiration. Displacement values are obtained from the accelerometer data. Features are obtained using the accelerometer data. An apnea-hypopnea index (AHI) is obtained from a machine learning model that uses the features as inputs. The displacement values correspond to peaks in the accelerometer data.

Abstract: A device including sensors and a processor. The sensors are configured to detect movements of a user. The processor is configured to categorize the movements of the user as a micro-movement or a macro-movement; quantify a number of the micro-movements; quantify a number of the macro-movements; determine based upon the number of micro-movements whether a body part of interest of a user is supported; and provide feedback to the user if the body part of interested is unsupported and continuing to monitor the body part of interest if the user is supported without providing any feedback.

Abstract: A device comprising: (a) an accelerometer or gyroscope that is capable of measuring movement, and (b) a sensor that is configured to monitor and determine a electrical signals or pulse signals of a heart so that the sensor detects a heart rate of a user; wherein the device is configured for placement on a first location of the user to determine a heart rate of the user; wherein the device is configured for placement on or contact with a second location of the user where the sensor measures the user's heart rate and the accelerometer or gyroscope measures a heart rate of a fetus located within the user; and (c) a processor configured to isolate the heart rate of the fetus from the heart rate of the user so that the heart rate of the fetus is displayed on the device.

Abstract: An intelligent dental handpiece control system is disclosed. The handpiece includes a sensor which detects a vibration, sound, force or torque frequency/time signal produced by the handpiece in use and signal processor which produces or determines secondary signal characteristics such as the handpiece torque, force or angular velocity. A controller analyzes the secondary signal characteristics and produces a control signal which controls or stops the angular velocity of the dental handpiece in order to avoid overdrilling of healthy tooth material or damaging the nerves in the jaw during dental implant operations. The controller may also provide a warning signal to the user and/or control the angular velocity of the handpiece.