Electromagnetic energy is deposited into a volume, an acoustic return signal from energy deposited in the volume is measured, and a parametric map that estimates values of at least one parameter as spatially represented in the volume is computed. A reference level of a region of interest is determined, and upper and lower color map limits are specified, with at least one of them being determined in relation to the reference level. The parametric map is then rendered in the palette of a color map by mapping the estimated values of the parametric map onto the color map according to the color map limits. Two wavelengths of energy can be applied to the volume, and the parametric map computation can be adapted by applying an implicit or explicit model of, or theoretical basis for, distribution of electromagnetic energy fluence within the volume pertaining to the two wavelengths. The actual electromagnetic energy fluence caused by each wavelength has a propensity, due to variability within the volume, to differ from the modeled or theoretical electromagnetic energy fluence.

In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to affect the personalized mental state of the individual.

A method of modulating a brain activity of a mammal is achieved by subjecting the mammal to repetitive transcranial magnetic stimulation (rTMS) with an rTMS apparatus at variable pulse intervals for a time sufficient to modulate said brain activity. Improvement in a physiological condition or a clinical condition is achieved. Conditions to be treated include but are not limited to PTSD, autism spectrum disorder and Alzheimer's disease. Wavelet transform analysis is used to determine the variable pulse intervals employed.

The present invention relates to systems and methods to manage and predict post-surgical recovery. More specifically, the disclosure generally relates to systems and methods for post-surgical intervention planning, support, follow-up, patient compliance, recovery prediction and tracking, and potential treatment modifications.

A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

According to an embodiment of the present disclosure, there is provided a laser spectroscopy-based independent device, including: a spectrometer configured to measure a spectrum of generated light which is generated by a laser projected onto a sample; and a disease analysis module configured to determine whether there is lesion tissue by applying a lesion tissue detection learning model to a result of non-discrete spectrum measurement, which is measured by the spectrometer, wherein the spectrometer is configured to measure spectra of all generated light that is generated from a time when the laser is projected onto the sample.

A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

The present disclosure provides a sensor with color-coded indications that various patient physiological parameters are being monitored, such as blood oxygen saturation, blood pressure, respiration rate, and respiration effort. The sensor may sense a physical characteristic used to monitor the physiological parameter, and a visible light emitter emits visible light of a first color that is color-coded to the physiological parameter, but is not used to sense the physical characteristic. The visible light emitter may emit visibly flashing light in response to the sensor sensing a threshold value of the physical characteristic. The sensor may include a second light emitter that may sense the physical characteristic, and may emit light of a second color that is color-coded to a first or second physiological parameter. In some embodiments, the first and second colors may visibly mix. The first and second visible light emitters may emit light independently, including visibly flashing light.

A method for monitoring thoracic tissue. The method comprises intercepting reflections of electromagnetic (EM) radiation reflected from thoracic tissue of a patient in radiation sessions during a period of at least 24 hours, detecting a change of a dielectric coefficient of the thoracic tissue by analyzing respective the reflections, and outputting a notification indicating the change. The reflections are changed as an outcome of thoracic movements which occur during the period.

Systems and methods are disclosed for conducting spinal cord stimulation or other neurostimulation and sensing evoked compound action potential (ECAP) signals. The sensed signals may be processed to isolate ECAP features from noise and/or interfering signals. The isolated ECAP features may be used to control neurostimulation therapy for the patient and/or guide an implant procedure.