Apparatuses and methods are provided for automatically determining which type of resuscitation treatment is most appropriate for a patient. Methods are provided that include the following. One or more time domain signal measurements are transformed into frequency domain data representative of a frequency content of the one or more time domain signal measurements. The frequency domain data is processed to identify peaks. For each of the peaks, for each of multiple points in time, multiple parameters of the peak are determined. Based on the multiple parameters of the peaks for each of the multiple points in time, a trajectory is determined. The determined trajectory is analyzed in determining a recommended type of resuscitation treatment. An output indication is provided of the recommended type of resuscitation treatment.

Systems and methods are provided for processing a set of multiple serially acquired magnetic resonance spectroscopy (MRS) free induction decay (FID) frames from a multi-frame MRS acquisition series from a region of interest (ROI) in a subject, and for providing a post-processed MRS spectrum. Processing parameters are dynamically varied while measuring results to determine the optimal post-processed results. Spectral regions opposite water from chemical regions of interest are evaluated and used in at least one processing operation. Frequency shift error is estimated via spectral correlation between free induction decay (FID) frames and a reference spectrum. Multiple groups of FID frames within the acquired set are identified to different phases corresponding with a phase step cycle of the acquisition. Baseline correction is also performed via rank order filter (ROF) estimate and a polynomial fit. Sections of the ROF may be excluded from the polynomial fit, such as for example sections determined to be associated with relevant spectral peaks.

Systems and methods are provided for processing a set of multiple serially acquired magnetic resonance spectroscopy (MRS) free induction decay (FID) frames from a multi-frame MRS acquisition series from a region of interest (ROI) in a subject, and for providing a post-processed MRS spectrum. Processing parameters are dynamically varied while measuring results to determine the optimal post-processed results. Spectral regions opposite water from chemical regions of interest are evaluated and used in at least one processing operation. Frequency shift error is estimated via spectral correlation between free induction decay (FID) frames and a reference spectrum. Multiple groups of FID frames within the acquired set are identified to different phases corresponding with a phase step cycle of the acquisition. Baseline correction is also performed via rank order filter (ROF) estimate and a polynomial fit. Sections of the ROF may be excluded from the polynomial fit, such as for example sections determined to be associated with relevant spectral peaks.

Determining a shape of a medical device to be implanted into a subject produces an image including a defective portion and a non-defective portion of a surface of a tissue of interest included in the subject. The tissue of interest is segmented within the image. A template, representing a normative shape of an external anatomical surface of the tissue of interest, is superimposed to span the defective portion. An external shape of an implant, is determined as a function of respective shapes of the defective portion as seen in the template, for repairing the defective portion.

Exemplary methods, apparatuses, and systems receive a plurality of user characteristics. The characteristics are transmitted to a server. A sleep profile selected by the server based upon the characteristics is received. The sleep profile includes an estimated sleep cycle having a plurality of stages representing aggregated sleep data from a plurality of persons. The sleep profile is selected in response to determining that the plurality of persons is associated with characteristics similar to the received user characteristics. A shift from a first stage in a current sleep cycle to a second stage in a current sleep cycle is detected. The detection of the shift is based upon a set of data from a sensor measuring physical indications of the user's sleep. An estimate of an additional portion of the current sleep cycle is generated by matching the detected shift to a corresponding shift between stages in the estimated sleep cycle.

A method of automatically determining which type of treatment is most appropriate for (or the physiological state of) a patient. The method comprises transforming one or more time domain measurements from the patient into frequency domain data representative of the frequency content of the time domain measurements; processing the frequency domain data to form a plurality of spectral bands, the content of a spectral band representing the frequency content of the measurements within a frequency band; forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the spectral bands; determining the type of treatment (or physiological state) based on the weighted sum.

The invention relates to a method of optimizing workflow for an intervention, comprising the steps of reconstruction of an image of a target area representative of an envisaged intervention based on imaging dataset; automatically selecting an optimal viewing direction for enabling a pre-operative quantitative analysis of intervention features. The invention further relates to a computer program and a system for optimizing a workflow of an intervention.

Determining a shape of a medical device to be implanted into a subject produces an image including a defective portion and a non-defective portion of a surface of a tissue of interest included in the subject. The tissue of interest is segmented within the image. A template, representing a normative shape of an external anatomical surface of the tissue of interest, is superimposed to span the defective portion. An external shape of an implant, is determined as a function of respective shapes of the defective portion as seen in the template, for repairing the defective portion.

A robot-guided system to assist orthopedic surgeons in performing orthopedic surgical procedures on pre-positioned inserts, including for the fixation of bone fractures, and especially for use in long bone distal intramedullary locking procedures. The system provides a mechanical guide for drilling the holes for distal screws in intramedullary nailing surgery. The drill guide is automatically positioned by the robot relative to the distal locking nail holes, using data derived from only a small number of X-ray fluoroscopic images. The system allows the performance of the locking procedure without trial and error, thus enabling the procedure to be successfully performed by less experienced surgeons, reduces exposure of patient and operating room personnel to radiation, shortens the intra-operative time, and thus reduces post-operative complications.

Determining a shape of a medical device to be implanted into a subject produces an image including a defective portion and a non-defective portion of a surface of a tissue of interest included in the subject. The tissue of interest is segmented within the image. A template, representing a normative shape of an external anatomical surface of the tissue of interest, is superimposed to span the defective portion. An external shape of an implant, is determined as a function of respective shapes of the defective portion as seen in the template, for repairing the defective portion.