A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting allowance or disallowance of voice control based on both the SNR computed and the percentage of sensors computed.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds and operational criteria stored within the monitor. When an alarm condition is sensed by the system, the system can actively solicit patient assistance in the confirmation of the alarm condition based on a set of reactive inputs stored within the system to enable medical personnel to appropriately respond to clinically relevant sensed alarm condition(s).

A method and device for predicting Alzheimer's disease based on voice characteristics are provided. The device for predicting Alzheimer's disease according to an embodiment includes: a voice input unit configured to generate a voice sample by recording a voice of a subject; a data input unit configured to receive demographic information of the subject; a voice characteristic extraction unit configured to extract voice characteristics from the generated voice sample; and a prediction model that is pre-trained to predict presence or absence of Alzheimer's disease in the subject, based on the voice characteristics and the demographic information.

In an embodiment, an electrogram (EGM) processing system provides, for display by a head-mounted display (HMD) worn by a user, a holographic rendering of intracardiac geometry. The HMD also displays an electrogram waveform. The EGM processing system determines a gaze direction of the user by processing sensor data from the HMD. The HMD displays a marker overlaid on the electrogram waveform at a location based on an intersection point between the gaze direction and the electrogram waveform. The EGM processing system determines a measurement of the electrogram waveform using the location of the marker. The HMD displays the measurement of the electrogram waveform.

An apparatus is provided for receiving an indication of a temperature measurement made at a site on a body, the first measurement being of a first type; receiving an indication of an electrical measurement of one or more electrical characteristics made at the site where the temperature measurement was made; determining, based at least in part on the measurement of the one or more electrical characteristics, the site on the body where the temperature measurement was made; associating the measured temperature with the determined site. A method and a computer program product are also provided.

A health monitoring urinalysis system that monitors several health indicators from human urine is provided. The system includes a temperature sensor and several electrochemical sensors that are installed in a urine collection basin, such as, a toilet or a urinal and may automatically collect urine information after each use. The system collects data during the routine and normal use of a urine collection basin. The system includes a control and measurement unit that may be installed outside the urine collection basin. The control and measurement unit receives sensor measurements and transmits the measurements to one or more remote electronic devices. The remote electronic devices and/or the processor of the control and measurement unit perform data analysis, provide diagnostic, and generate health alerts. The system performs recurrent health monitoring after the urine collection basin is used and may detect abnormal conditions at early stages, in addition to a routine urine test.

The automated allergy office system and method takes a medical professional through an allergy testing process and a follow-on immunology injection process step-by-step using LED computer screen tables, computer tablets, smart phones, an internal office computer system accessing Patient medical records, and an augmenter reality headset. The augmented reality headset technology and artificial intelligence are layered onto an improved manual system to minimize false positives and negatives, to improve the patient experience patient, resulting in cost savings for the doctor and patient and enabling portions of the allergy testing to be performed remotely from the office of the allergist, either by the patient or by a trained medical technician.

System and methods for controlling healthcare devices and systems using voice commands are presented. In some aspects a listening device may receive voice command from a person. The voice command may be translated into human readable or machine readable text via a speech-to-text service. A control component may receive the text and send device-specific instructions to a medical device associated with a patient based on the translated voice command. In response to the instructions, the medical device may take an action on a patient. Some examples of actions taken may include setting an alarm limit on a monitor actively monitoring a patient and adjusting the amount of medication delivered by an infusion pump. Because these devices may be controlled using a voice command, in some cases, no physical or manual interaction is needed with the device. As such, multiple devices may be hands-free controlled from any location.

A retrofittable commode attachment device that automatically measures and charts electronically one or more types of health data. The device includes a base platform with a back portion, a left side portion, a right side portion and a front portion, a plurality of load cells on the left side of the base platform and a plurality of load cells on the right side of the base platform, at least one microphone, at least one camera, and at least two commode connector brackets that engage the horizontal support of a commode and the base platform is positioned below the toilet seat of the commode and is not part of the toilet seat.