Abstract: A biomass solid fuel with reduced self-heating. An apparatus for manufacturing a biomass solid fuel including a carbonization furnace for carbonizing a biomass molded block to obtain a biomass solid fuel; a yield calculator for calculating a yield of the biomass solid fuel and/or a temperature detector for measuring a temperature of the carbonization furnace; and a controller for controlling a heat source of the carbonization furnace; in which the controller controls the heat source based on a correlation between (i) a self-heating property of the biomass solid fuel and (ii) the yield and/or the temperature of the carbonization furnace.

Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: A computer-implemented method includes determining, by a processor, from a time-series evolution tree comprising one or more clones at each of the plurality of time points, that the one or more clones are sensitive clones or resistant clones, wherein the time-series evolution tree is based on sequence data for a tumor from a subject at a plurality of time points, wherein each time point in the time-series evolution tree represents an event in the subject's cancer treatment, and wherein a clone is a collection of gene alterations; based at least in part on determining that the one or more clones that are the sensitive or resistant clones, determining, by the processor, a geneset composition of the one or more clones that are the sensitive or resistant clones; and based at least in part on determining the geneset composition, determining by the processor, a further treatment for the subject.

Abstract: Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

Abstract: Provided is an apparatus for estimating bio-information in a non-invasive manner. According to an exemplary embodiment, the bio-information estimation apparatus includes: a spectrum measurer configured to measure a spectrum of light reflected from an object; a temperature measurer configured to measure the temperature of the object while the spectrum measurer measures the spectrum of light reflected from the object; and a processor configured to calculate a spectrum correction factor, including one or more of a correction factor of a gain, a constant, and a slope, based on the measured temperature of the object, and to adjust the measured spectrum by using the calculated correction factor.

Abstract: According to an example, with respect to blast reconciliation for mines, pre blast measurement data and post blast measurement data associated with a blasting operation for a mining site may be ascertained from a pre and post blast measurer. A blast reconciliation model may be generated using existing pre blast measurement data and existing post blast measurement data, and used to analyze the ascertained pre blast measurement data and the ascertained post blast measurement data. Based on the analysis of the ascertained pre blast measurement data and the ascertained post blast measurement data, a blast material yield for the mining site may be determined as a result of the blasting operation. An alert indicative of the blast material yield may be generated.

Abstract: A system for prioritizing user symptom complaint inputs. The system includes a KNN module operating on at least a computing device configured to receive a plurality of symptom complaint datums, receive suspected disease state training data, calculate an optimal vector output utilizing a k-nearest neighbor algorithm and generate an optimal vector output containing a suspected disease state. The system includes a triage module operating on at least a computing device configured to receive the optimal vector output, generate a triage urgency category label, select triage training data as a function of the triage urgency label, generate using a supervised machine-learning model a disease criticality model, evaluate the disease criticality score, and display the ranked disease criticality score for each of the plurality of suspected disease states.

Abstract: The present invention searches for, in order of priority, a combination of material property parameters having a significant relationship, from among arbitrary combinations of multiple material property parameters.

Abstract: The invention provides a comprehensive system, method and computer program product for data structure clustering based on variation in data attribute performance. In general, the invention is configured to link a sub-set of data structures out of a global set of data structures based on identifying stimulus type attributes that are structured to produce a functional performance parameter of the associated data structure, particularly in the field of hospital data analysis. Typically, the invention is configured to receive a request for construction of a peer data cluster for a first functional performance parameter of the first entity data structure. The invention may then determine at least one second entity data structure of a plurality of entity data structures that is a peer entity data structure, and linking the first entity data structure and the second entity data structure to form the peer data cluster.

Abstract: A method for setting desired trajectories of movement of an exoskeleton for enabling movement in a user with a musculoskeletal disorder, a device for assisting walking in the user, and a method for controlling said device. Walking in the user can be enabled in predetermined modes of movement. The device has a part worn by the user including a motorized lower limb exoskeleton equipped with a control device, embodied in an on-board controller of the exoskeleton, and a non-worn part which includes an external computer for a specialized assistant and a system for determining the parameters of desired trajectories of movement of the exoskeleton in a Cartesian coordinate system. Control signals for exoskeleton actuators are generated taking into consideration the mass and inertial properties of body segments of the user and of elements of the exoskeleton, as well as requirements regarding the quality of control.

Abstract: System and method amplifying the accuracy of forecasts generated by software systems that harness the collective intelligence of human populations by curating optimized sub-populations through an intelligent selection process. Participants predict event outcomes and/or provide evaluations of their confidence in their predictions. The system determines an outlier score for each participant based on the participant's responses and the relation of the participant's responses to the predictions of the population as a whole. Participants can then be selected from the population based on the participant outlier scores.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: This disclosure presents methods for antibody structure prediction and design. We utilize the growing number of antibody structures and sequences are used with powerful protein modeling methods to design and predict antibody structural models up to sub-angstrom accuracy. The invention also relates to systems and methods for generating an antibody library. Specifically, the invention relates to computer-implemented systems and methods for generating an antibody library for a predetermined epitope. The invention further relates to determining structural models of the interface between an antibody and its antigen. The invention also relates to determining structural models of an unbound complementarity determining region of an antibody.

Abstract: A system and method for performing automated respirator mask fit testing are described. An example embodiment is configured to obtain, with one or more processors, at least one three-dimensional facial image of an individual; convert the facial image to numerical data for analysis, the numerical data representative of facial features, facial dimensions, and/or facial locations on the face of the individual; determine, based on the numerical data, a head form category for the individual; determine, based on the head form category and the numerical data, a face volume for the individual; and generate a mask fit pass (or fail) indication responsive to the face volume satisfying (or not satisfying) face volume fit criteria for the head form category. The principles described herein may also be applied for other personal protective equipment such as industrial head protection, eye and face protection, hand protection, and clothing.

Abstract: Systems and methods are provided for controlling chemical production and/or petroleum processing reaction systems to allow for improved control of control variables relative to desired set points. The improved control can be achieved by use of a modified proportional-integral-derivative (PID) controller or a similar type of controller that includes dynamic tuning logic. The modified PID controller can be operated using different coefficients based on the relative values of a control variable and a reasonable progress curve determined based on the values of the control variable.

Abstract: An online system presenting content items to a user generates a model that predicts a latent metric describing user actions that occur at least a reasonable amount of time after presentation of content items. To determine the latent metric, the online system retrieves one or more models predicting likelihoods of the user performing various interactions when presented with the content items and determines weights associated with different retrieved models. Combining the weighted retrieved models generates a model for determining the latent metric. As the retrieved models are based on data accessible to the online system in less than the reasonable amount of time after presenting content items, weighing the retrieved models allows the online system to predict the latent metric describing user actions occurring after content items are presented. When selecting content items for the user, the online system accounts for the latent metric determined by the generated model.

Abstract: There is provided a method and system for visually representing the kinematics of a patient's joint in real-time. The method comprises the steps of receiving characteristics of a measured movement of the joint, computing at least one kinematic object vector using specific morphology of the Joint structures and the characteristics of the measured movement of the joint, displaying a 3D representation of the joint structures based on the specific morphology of the joint structures and on the characteristics of measured movement of the joint, linking the at least one kinematic object vector with the joint structures and dynamically displaying the at least one kinematic object vector superimposed on the 3D representation of the joint structures.

Abstract: Provided is a simulation spectrum apparatus including: a background image acquisition unit that acquires a background image of a target region and an infrared signal corresponding to each pixel of the background image; a spectrum acquisition unit that acquires a background radiation intensity spectrum from the infrared signal acquired for the each pixel; a simulation spectrum generation unit that generates a model of a linear combination of a radiation intensity spectrum of a contamination cloud and a background radiation intensity spectrum on the basis of a difference in radiation intensity; a controller that generates a simulation spectrum of the contamination cloud by applying the information on the at least one toxic substance and the atmosphere transmittance to the model of the linear combination; and an imaging unit that generates a spectrum image, combines the generated spectrum image and the background image, and thus generates a simulation contamination cloud image.

Abstract: A method of administering insulin includes receiving scheduled blood glucose time intervals and obtaining blood glucose data of a patient that includes blood glucose measurements, blood glucose times, and insulin dosages previously administered by the patient. The method also includes applying a set of filters to identify which of the blood glucose measurements associated with at least one of the scheduled time intervals are usable and which of the blood glucose measurements associated with the at least one scheduled time interval are unusable. The method also includes aggregating the blood glucose measurements associated with the at least one scheduled time interval identified as usable to determine a representative aggregate blood glucose measurement and determining a next recommended insulin dosage for the patient based on the representative aggregate blood glucose measurement and the insulin dosages previously administered by the patient.

Abstract: A method and system for determining interaction sites between biosequences is described herein. A dataset of contact data for a plurality of biomolecule pairs is obtained to account their frequency of occurrence. Statistical weights are determined for each frequency of occurrence. Each vector of a statistical residual vector space (SRV) is decomposed through principal component decomposition. The vectors of the SRV are re-projected back to a new SRV with a new set of coordinates. A feature vector is generated and inputted into a predictor for outputting a likelihood of an interaction site.

Abstract: Disclosed are systems, devices and methods for performing simulations using a multi-component Finite Element Model (FEM) of ocular structures involved in ocular accommodation.

Abstract: A method and a system for determining a cut line of an aligner are provided. The method comprises: obtaining 3D model data of a plurality of teeth and a gingiva of a subject; obtaining, using the 3D model data, for each one of the plurality of teeth, a respective one of a plurality of individual intersection loops; segmenting, based on a predetermined rule, each one of the plurality of individual intersection loops into at least a buccal portion and a lingual portion; sequentially joining respective buccal portions and respective lingual portions associated with each one of the plurality of individual intersection loops, thereby generating a single arch form loop; smoothing the single arch form loop, thereby generating a smoothed single arch form loop; and applying the smoothed single arch form loop to an unfinished aligner to indicate the cut line on the unfinished aligner for producing the aligner.

Abstract: A method for predicting field specific crop yield recommendations is disclosed. A computer system receives data records, including remotely sensed spectral property of plant records and soil moisture records. The system aggregates the records to create geo-specific time series over a specified time. The system selects representative features from the geo-specific time series and creates, for each specific geographic area, a covariate matrix in computer memory comprising the representative features. The system assigns a probability value to a component group in a set of parameter component groups, where each component group includes one or more regression coefficients and an error term calculated from probability distributions.

Abstract: A system, method and apparatus for executing a sequence analysis pipeline on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits are arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the sequence analysis pipeline on the reads of genomic data. Each subset of the hardwired digital logic circuits is formed in a wired configuration to perform the one or more steps in the sequence analysis pipeline.

Abstract: A method for planning an arthroplasty procedure on a patient bone. The method may include accessing generic bone data stored in a memory of a computer, using the computer to generate modified bone data by modifying the generic bone data according to medical imaging data of the patient bone, using the computer to derive a location of non-bone tissue data relative to the modified bone data, and superimposing implant data and the modified bone data in defining a resection of an arthroplasty target region of the patient bone.

Abstract: A method of using an ankle exoskeleton device is provided herein. The method includes collecting one or more biomechanical data points from an individual. The method also includes developing individualized musculoskeletal simulations based on the one or more biomechanical data points. In addition, the method includes creating predictive simulations by modeling effects of an ankle exoskeleton device on the individualized musculoskeletal simulations. The method also includes utilizing established device-user relationships with real-time measurements to adjust device control. Lastly, the method includes optimizing design and control parameters of the exoskeleton device based on the predictive simulations and user responses.

Abstract: A method of generating a correction plan for correcting a deformed bone includes inputting to a computer system a first image of the deformed bone in a first plane and inputting to the computer system a second image of the deformed bone in a second plane. Image processing techniques are employed to identify a plurality of anatomical landmarks of the deformed bone in the first image. The first image of the deformed bone is displayed on a display device. A graphical of the deformed bone is autonomously generated and graphically overlaid on the first image of the deformed bone on the display device, the graphical template including a plurality of lines, each line connected at each end to a landmark point corresponding to one of the anatomical landmarks. A model of the deformed bone may be autonomously generated based on the graphical template.

Abstract: A system, method, and apparatus are provided for designing and evaluating intraocular lenses for a large field of view that generate a first eye model from data that includes constant and customized values, including customized values of a first intraocular lens. A simulated outcome is provided by the first intraocular lens in at least one modeled eye. A second eye model is generated wherein a second intraocular lens is substituted for the first intraocular lens. An outcome provided by the second intraocular lens is simulated in at least one modeled eye. Outcomes of the first and second intraocular lenses are compared.

Abstract: A system and method for considering the effects of aerobic exercise on blood glucose levels for individuals is described. In at least one embodiment of the system of the present disclosure, the system comprises a computing device for generating a prediction of future blood glucose levels for the individual at least partly based on an exercise model, wherein the exercise model is based on parameters that are independent of intensity of the aerobic exercise, and a means for taking an action at least based on the prediction from the exercise model.

Abstract: A process of simply, cheaply, and reproducibly creating complex tissue models using screen printing and the tissue model prepared using the screen printing process. These models are amenable to high throughput screening. They will allow the study of components of disease progression and can be used for screening therapies.

Abstract: A method of planning an arthroplasty procedure on a femur and tibia of a patient. The method includes receiving a first two-dimensional image of the femur and the tibia, and identifying, in the first two-dimensional image, a proximal femur feature, a distal tibia feature, and a bone contour. The method further includes running a transformation process to align a bone model representative of the femur and the tibia into a coordinate system with the first two-dimensional image, the bone model having a bone model contour that is aligned with the bone contour of the femur and the tibia in the first two-dimensional image. And the method further includes applying an implant model to the bone model in order to determine coordinate locations for the arthroplasty resection.

Abstract: A device for carrying out mirror therapy includes: a camera for filming a healthy limb of a patient, a work surface on which the patient positions his healthy limb or affected limb, a screen for displaying the image of the healthy limb which is positioned on the work surface and which is filmed by the camera, the screen preventing the patient from directly seeing his healthy limb or affected limb on the work surface, and a support structure which is connected to the work surface and on which the screen and the camera are mounted. The device has a mirror fixed behind the screen. The camera films the healthy limb reflected in the mirror, and the image displayed by the screen is a reflection of the healthy limb in the mirror.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for machine learning for home understanding and notification. In one aspect, a method includes obtaining reference videos from a camera within a home, determining from the reference videos that a particular person routinely leaves the home with a particular object at a particular time of day, determining from a sample video from the camera within the home that the particular person appears to be leaving the home without the particular object at the particular time of day, and in response, providing a notification regarding the particular object.

Abstract: This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Abstract: The method of assisting the production of an implantable unfurlable made to measure device comprises: three-dimensional reconstruction of a complex surface of the cavity in which the device will be implanted; Production of a first finite element mesh of this complex surface; Choosing of generic components of the device; Production of a second finite element mesh of these assembled generic components; Determination of the morphosis parameters for morphosing from the first mesh to a mesh of a set of simple linked volumes which is representative of the part of the cavity, and then deformation of the first mesh by this morphosis; Simulation of a deformation of the second mesh, by inverse morphosis dependent on the determined parameters, to the complex surface, simulating unfurling of the device; Determination of dimensioning of points of interest by projection onto the second deformed mesh; and Generation of a production blueprint plan of the device.

Abstract: Systems and methods are disclosed for using vessel reactivity to guide diagnosis or treatment for cardiovascular disease. One method includes receiving a patient-specific vascular model of a patient's anatomy, including at least one vessel of the patient; determining, by measurement or estimation, a first vessel size at one or more locations of a vessel of the patient-specific vascular model at a first physiological state; determining a second vessel size at the one or more locations of the vessel of the patient-specific vascular model at a second physiological state using a simulation or learned information; comparing the first vessel size to the corresponding second vessel size; and estimating a characteristic of the vessel of the patient-specific vascular model based on the comparison.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: A method for determining a disease state transition path includes receiving a patient data having functional data and/or structural data related to a patient. Based on the patient data, a first disease state of a plurality of non-overlapping disease states each associated with a predetermined range of functional and/or structural degeneration values may be identified. A second, non-adjacent disease state of the plurality of disease states may be identified based on the patient data. A most probable path between the first disease state and the second disease state may be determined using a two dimensional continuous-time hidden Markov model.

Abstract: Three-dimensional modeling of patient-specific tumors. In an embodiment, patient-specific data, representing a tumor microenvironment and one or more metrics, are received. A patient-specific spatial model, representing the tumor microenvironment as a lattice comprising a plurality of elastic material points, is generated from the patient-specific data. Patient-specific drug interaction and metabolism models are also determined. The tumor microenvironment is then simulated, for one or more drug interventions, through a plurality of iterations in which each elastic material point is updated in each iteration based on computations of chemical diffusion, biochemical reactions, metabolism, drug interactions, growth and death, and mechanical forces. A report, comprising a three-dimensional representation of the patient-specific spatial model after one or more iterations, is generated for the drug intervention(s).

Abstract: A system and method of analyzing a biological sample using an imaging system are disclosed. An image acquisition module instructs the imaging system to obtain a label free image of a training biological sample and in response receives a first training image. The image acquisition module also instructs the imaging system to cause the training biological sample to fluoresce and obtain an image of the training biological sample undergoing fluorescence, and in response receives a second training image. An analysis module analyzing the second training image to generate a plurality of training cell characteristics, wherein each of the plurality training cell characteristics is associated with one of a plurality of training cells that comprise the training biological sample.

Abstract: A system can include a non-transitory memory to store machine readable instructions and data, and a processor to access the non-transitory memory and execute the machine-readable instructions. The machine-readable instruction can include a global module that can be programmed to generate a visual field map (VFM) model that can include a set of visual function map parameters for an entire visual field for a subject. The global module can be programmed to update the set of visual function map parameters corresponding to updating a shape of the VFM based on subject response data generated during each administration of a vision test to a subject.

Abstract: A lifestyle management supporting apparatus: acquires lifestyle-related information related to the lifestyle of a subject person; determines a psychological state index value which indicates a level of self-efficacy for the lifestyle improvement, based on the lifestyle-related information; determines a behavioral state index value which indicates a level of behavioral achievement for the lifestyle improvement, based on the lifestyle-related information; determines a type of the subject person by using a classification by axes of indexes including the psychological state index and the behavioral state index; and provides control unit providing support information conforming to the type of the subject person.

Abstract: A system and method for evaluating effects of an antiarrhythmic agent. The system includes: an action potential measurement unit for measuring a cardiac action potential of a patient; an ion channel characteristics determination unit for determining ion channel characteristics of the patient using the cardiac action potential; and an antiarrhythmic agent effect evaluation unit for simulating a treatment effect of an antiarrhythmic agent by reflecting characteristics of the antiarrhythmic agent on the determined ion channel characteristics of the patient. The system can conveniently determine the patient's ion channel characteristics by measuring the cardiac action potential of the patient, thereby preventing the risk of gathering cardiomyocytes of the patient.

Abstract: Described are biofidelic conductive skin simulants closely mimicking the biomechanical properties of natural human skin, including vaginal skin tissue. The conductive simulant contains a siloxane network and conductive fibers.

Abstract: A computer-implemented method for predicting molecule properties is disclosed. According to some embodiments, the method may include receiving an input file of a compound. The method may also include implementing a neural network to determine molecular configurations of the compound based on the input file and a plurality of molecular descriptors associated with the compound. The method may also generating, using the neural network, one or more three-dimensional (3D) models of the compound based on the determined molecular configurations of the compound. The method may also include determining, using the neural network, energy scores of the one or more 3D models when the compound is docked into a protein. The method may further include determining a property of the docked compound based on the energy scores.

Abstract: Systems and methods are provided herein that enable computer-implemented modeling of a biological event. Cell-based models produced from such systems and methods are also disclosed. In some embodiments, systems and methods are provided for cell-centric simulation with accommodating environment feedback. In one embodiment, a computer-implemented method of modeling a biological event can include receiving configurable simulation information and initializing an ontogeny engine to an initial step boundary in accordance with the configurable simulation information. The method can also include advancing the ontogeny engine from a current step boundary to a next step boundary in accordance with the configurable simulation information and the current step boundary. The advancing can include performing a stepCells function. The method can further include continuing the advancing until a halting condition is encountered.

Abstract: The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

Abstract: Methods, systems, and computer programs are presented for updating estimates of damage caused by a disaster based on newly acquired damage data. One method includes operations for generating block damage estimates in a geographical region after an event (e.g., a natural disaster such as an earthquake or a tornado), accessing input damage data for one or more buildings within a first block, and adjusting the block damage estimate of the first block based on the input damage data. One or more related blocks within a threshold distance from the first block are identified, and for each related block, a respective propagation coefficient is determined based on a comparison of features of the first block with features of each related block. The block damage estimate for the one or more related blocks is recalculated based on the respective propagation coefficient.

Abstract: A method for guiding implantation of a first prosthetic component includes determining, using a virtual model of a joint including first and second bones, a planned orientation of the first prosthetic component in the joint, applying a valgus/varus moment to the joint at a plurality of flexion positions of the joint, and recording positional data indicative of relative positions of the first bone and the second bone at the plurality of flexion positions of the joint. The method also includes calculating estimated separation distances between the first prosthetic component and a second prosthetic component, adjusting the planned orientation of the first prosthetic component in the joint in response to an error between the estimated separation distances and one or more desired separation distances, and guiding implantation of the first prosthetic component on the first bone in accordance with the adjusted planned orientation of the first prosthetic component.

Abstract: Estimating a nerve-to-electrode distance involves applying a stimulus from a stimulus electrode to a nerve. Neural measurements of at least one evoked compound action potential are obtained, and processed in order to estimate an originating state of stimulation exhibiting at least one characteristic defined by a single fibre size. A single fibre model is then applied to produce a measure of the nerve-to-electrode distance. Also provided for is estimation of a distribution of recruited fibres. Measurements of a compound action potential are obtained from sense electrodes spaced apart along a neural pathway. A conduction velocity of the compound action potential is determined from the latency between the measurements. From the conduction velocity a dominant recruited fibre diameter is determined. A rate of dispersion of the compound action potential between the sense electrodes is determined. From the rate of dispersion a distribution of diameters of the recruited fibre population is determined.