Apparatus, systems, and methods for monitoring a sensor module mounted in a sensor platform, wherein the sensor platform includes an adhesive side and a pocket, wherein the pocket is designed to receive the sensor module, to facilitate sensing by the sensor module of physiological attributes, and to allow insertion and removal of the sensor device from the pocket.

Computer-implemented method of detecting parameters indicative of a variation of activation of the sympathetic nervous system and of a variation of activation of the parasympathetic nervous system in a subject in a transition from a basal condition to a perturbed condition, comprising the calculation of the power ratio between the powers in the LF and HF bands of the power spectra of the systolic time interval and the diastolic time interval.

Systems and methods for identifying the most impactful moments or segments of music, which are those most likely to elicit a chills effect in a human listener. A digital music signal is processed using two or more objective processing metrics that measure acoustic features known to be able to elicit the chills effect. Individual detection events are identified in the output of each metric based on the output being above or below thresholds relative to the overall output. A combination algorithm aggregates concurrent detection events to generate a continuous concurrence data set of the number of concurrent detection events during the music signal, which can be calculated per beat. A phrase detection algorithm can identify impactful segments of the music based on at least one of peaks, peak-proximity, and a moving average of the continuous concurrence data.

A determination system includes a body surface change information acquirer, a motion detector, and a physiological state determiner. The body surface change information acquirer acquires body surface change information indicating a chronological change in body surface data obtained from a part of a body surface of a subject. The motion detector detects a motion of the subject. The physiological state determiner determines a physiological state of mind or body of the subject based on the body surface data acquired upon detecting the motion of the subject.

Methods, systems, and apparatus for assessing a state of an epilepsy disease or a comorbidity thereof are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of an epilepsy disease or a body system of the patient based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided.

Methods and apparatuses for stimulation of the vagus nerve to treat inflammation including adjusting the stimulation based on one or more metric sensitive to patient response. The one or more metrics may include heart rate variability, level of T regulatory cells, particularly memory T regulatory cells, temperature, etc. Stimulation may be provided through an implantable microstimulator.

A method and systems for determining an early warning score for a health status of a patient are provided. An example method includes acquiring, during a predetermined time period via sensors integrated into a wearable device worn on a wrist of the patient, initial values of medical parameters of patient. The medical parameters include a respiratory rate, oxygen saturation, temperature, blood pressure, and pulse rate, and level of consciousness. The method includes determining, based on the initial values, normal values of the medical parameters. The method includes acquiring, via the sensors and at a pre-determined frequency, further values of the medical parameters. The method includes determining, based on deviations of the further values from the normal values, individual scores for the medical parameters. The method includes calculating, based on the individual scores, a general score. The method includes determining, based on the general score, the health status of the patient.

Systems and methods for monitoring physiologic response to Valsalva maneuver (VM) are disclosed. An exemplary patient monitor may detect a natural incidence of a VM session occurred in an ambulatory setting using a heart sound (HS) signal sensed from the patient. The patient monitor may include a physiologic response analyzer to sense patient physiologic response during the detected VM session, and generate a cardiovascular or autonomic function indicator based on the sensed physiologic response to the VM. Using the physiologic response to the VM, the system may detect a target physiologic event using the sensed physiologic response to the VM.

A neurostimulation system comprises a control system configured to monitor a patient receiving neurostimulation therapy. The neurostimulation therapy has a stimulation cycle comprising a stimulation ON period, in which the patient is receiving neurostimulation, and a stimulation OFF period, in which the patient is not receiving neurostimulation. The control system is programmed to receive electrocardiogram (ECG) data from the patient receiving the neurostimulation therapy. The control system is further programmed to monitor a heart rate of the patient based on the ECG data over at least one stimulation cycle of the neurostimulation therapy. The control system is further programmed to generate an indication of signal stability to be displayed to a user based on the received ECG data.

A closed loop system using in-ear infrasonic hemodynography and method therefor are disclosed. The system includes an in-ear biosensor system that detects biosignals including infrasonic signals of an individual, and sends the biosignals to an analysis system that identifies physiological data from the biosignals that is associated with the autonomic nervous system of the individual. External sensors can detect other physiological data of the individual during environmental conditions and under different stimuli, and send the other data and the context under which it was detected to the analysis system. The analysis system can train a machine learning model with the identified physiological data in conjunction with the other physiological data, execute actions in response to new information to adjust the autonomic nervous system of the individual, optimize their performance on tasks, and train the individual to adjust their autonomic nervous system in response to new stimuli.