The present disclosure discloses a smartphone based telemedical devices incorporating into smartphone medical devices such as stethoscopes, thermometers, ultrasound imaging devices and/or alarm generators for diagnosis or determination of the disease or health status or condition of a user. The present smartphone based telemedical devices can be advantageously and conveniently used to measure and generate and/or remotely transmitting the medical data or information generated by the incorporated medical devices thus allowing an accurate and rapid determination of the status of a user particularly under emergency particularly when there are no regular medical or hospital services are available.

A wearable sensor apparatus comprises a motion sensor configured to sense two or three dimensional movement and orientation of the sensor and a vibration sensor configured to sense acoustic vibrations. The apparatus includes means for attaching the motion sensor and the vibration sensor to a body. The sensor apparatus enables long term monitoring of mechanomyographic muscle activity in combination with body motion for a number of applications.

The present disclosure relates to a maternal monitoring transducer (20), comprising a housing (60), a substrate board (72), particularly a PCB (70), disposed in the housing (60) and comprising control components (74), and a displacement measurement arrangement (76) comprising a displacement-sensitive structure (78) that is arranged to detect deformations of a deflectable measurement section (80) of the substrate board (72), wherein the maternal monitoring transducer (20) supplies a signal that is representative of maternal motion. The disclosure further relates to a method of operating a maternal monitoring transducer (20).

A system and method for monitoring a plurality of parameters of a user that includes receiving the plurality of parameters of the user from a vital signs recording device, identifying at least one abnormal value based on at least one parameter of the plurality of parameters, the at least one parameter being at least one of below a normal range and above a normal range, sending at least one alarm based on the at least one abnormal value to a remote facility, and displaying the at least one alarm continuously on a display device in the remote facility on a condition that the at least one parameter is at least one of below the normal range and above the normal range.

Provided is a method of controlling and adjusting at least one body feature of a subject using electronic mobile devices worked by a person in need thereof and measuring devices interconnected thereto.

An oximetry device for determining mammalian fetus oxygen levels, the oximetry device constituted of: a sensor module comprising multiple light sources of different wavelengths and at least one optical sensor; a processing unit in communication with the sensor module, the processing unit comprising a processor, and a memory, the processor in communication with an output device, the memory comprising electronically readable instructions to cause the processor to: energize the multiple light sources; determine a time varying amplitude of an output of the at least one optical sensor; asses a quality of a location of the sensor module responsive to the determined time varying amplitude; provide to the output device an indication of the assessment of quality of the location; extract features from the determined time varying amplitude; and output an indication of the mammalian fetus oxygen level responsive to the extracted features from the determined time varying amplitude.

A decision support tool is provided for predicting the neonatal vitality scores of a fetus during delivery, the scores being an indicator of future health for the infant anticipated to be born within a future time interval, measured as time to birth. The predicted neonatal vitality score is determined from measurements of physiological variables monitored during labor, such as uterine activity and fetal heart rate. Fetal heart rate variability and patterns may be detected and computed using the monitored physiological variables, and neonatal vitality scores may be predicted based, at least in part, on the variability metrics and fetal heart rate patterns. Scores may be predicted for different delivery methods, such as vaginal delivery or cesarean delivery, for different time-to-birth intervals. In this way, these scores may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the delivery type.

A apparatus for automatically detecting a pregnancy status of a patient include a patch for adhering to human skin, a uterine contraction sensor, such as electromyography (EMG), coupled to the patch with at least two electrodes, and an inertial sensor for sensing fetal movement, or Fetal Heart Rate (FHR) sensor, such as Fetal EKG or a Doppler Ultrasound. An electronic circuit is coupled to the patch, the EMG sensor and the inertial sensor, and/or FHR sensor. The circuit provides an output based on a uterine contraction signal from the EMG sensor (or Doppler ultrasound) correlated in time to a fetal movement, and/or fetal heart rate. The apparatus may include a thermometer to aid in automatically providing an indication of a pregnancy complication or ovulation status of the patient, based on the output.

The present invention relates to a pregnancy monitoring system, the system comprising a fetal monitoring transducer (20) arranged to detect fetal medical condition information; and a control device (48) comprising a motion assessment unit (50) and a signal output unit (52); wherein the fetal monitoring transducer (20) is arranged to detect fetal movement indicative information, wherein the motion assessment unit (50) is arranged to process fetal movement grading information, in addition to the fetal movement indicative information, wherein the signal output unit (52) is arranged to simultaneously output a fetal condition signal, particularly a fetal heart rate signal, and an augmented fetal movement signal based on the fetal movement indicative information and the fetal movement grading information, wherein a characteristic property of the original fetal movement information is still present in the augmented fetal movement signal. The disclosure further relates to a corresponding pregnancy monitoring method.

Sensor-based systems, devices, and methods are disclosed for monitoring for an aortocaval compression condition in a pregnant woman. A sensor device may be secured directly or indirectly to the woman, which may collect various sensor data related to the woman and/or the fetus. The device may determine a physical orientation of the woman (e.g., upright and/or lateral tilt angles of the woman) and/or biometric parameter(s) of the woman and/or fetus based on the collected sensor data, identify an aortocaval compression condition based on the determined orientation of the woman and/or biometric parameter(s) of the woman and/or fetus, and generate a repositioning alert via an alert mechanism. The disclosed concepts may be implemented, for example, as a personal home-use device, or as a broader system in a hospital or other medical facility, e.g., for monitoring and displaying aortocaval compression related information for multiple patients and/or facilitating patient turn protocols.