78 results about "Patient feedback" patented technology

Disclosed are devices and systems which to sense parameters related to the mechanical forces imposed on devices implanted in the stomach. The parameters of the system are further translated into patient feedback systems to create satiety inducing pathways in the stomach.

Techniques for selecting electrode combinations for stimulation therapy are described. The techniques include selecting one or more electrode combinations based on information associating a plurality of electrode combinations with at least one value of a therapy metric. The therapy metric comprises a quantifiable result of delivery of stimulation, and may be generated computer modeling of delivery of stimulation via the electrode combinations. In one embodiment, a clinician may deliver stimulation via a baseline electrode combination, receive patient feedback to the baseline electrode combination, select a therapy metric based on the patient feedback, and select additional electrode combinations based on the selected therapy metric and the information associating the electrode combinations with therapy metric values. In another embodiment, the clinician may select a therapy metric prior to providing a test stimulation and select additional electrode combinations based on the selected therapy metric and the information associating electrode combinations with metric values.

An implantable neurostimulator for treating disorders such as epilepsy, pain, movement disorders and depression includes a detection subsystem capable of detecting a physiological condition and a therapy subsystem capable of providing a course of therapy in response to the condition. The therapy subsystem includes an auto-adjust module for automatically adjusting one or more parameters of the therapy so that the therapy subsystem can provide an adjusted parameter to the patient and solicit the patient's feedback concerning the adjustment without requiring the presence of, or immediate involvement with, a clinician or physician. The patient feedback can be analyzed by computer, clinician or a combination of both to determine an optimal range of parameters for subsequent courses of therapy. In this manner, information useful in tuning the neurostimulator therapy parameters to optimize them for individual patient can be acquired automatically outside of the traditional clinical setting, saving time and minimizing patient fatigue that otherwise would be experience in marathon, in-clinic tuning sessions. The auto-adjust module also can be configured to prompt the patient to provide feedback even when parameters are not being adjusted, so as to acquire information for a baseline or about any placebo effect when the patient is otherwise expecting changes to the therapy to be made.

A system and method for providing tiered patient feedback for use in automated patient care is described. Physiological measures are analyzed. Each physiological measure is representative of at least one of measured and derived patient information recorded on a substantially continuous basis and was retrieved from one such patient care record to determine a patient status. Tiered feedback is provided to an individual patient responsive to the patient status.

Apparatus and method for at least partially fitting a cochlear implant system to a patient is described, comprising: executing a genetic algorithm to select values for a subset of one or more parameters selected from a plurality of parameters for which values are to be selected to fit the implant, wherein said genetic algorithm is operable to generate one or more successive generations of values for said parameter subset; and determining, based on patient feedback, said values of said values for said parameter subset in each of said one or more successive generations.

Embodiments presented herein describe techniques for providing feedback for a care plan for a patient. Embodiments receive a care plan specifying a plurality of assigned tasks for the patient to perform, timing information specifying when each of the plurality of assigned tasks should be performed, and a plurality of observation metrics that each indicate a type of biometric data to monitor. Biometric data corresponding to the plurality of observation metrics is collected using at least one monitoring device. Embodiments receive symptom information specifying one or more reported symptoms experienced by the patient and monitor adherence of the patient to completing the plurality of assigned tasks according to the timing information specified in the care plan. Embodiments further include providing feedback to the patient, based on the collected biometric data, received symptom information and monitored adherence.

A computer assisted programming method includes ramping up a stimulation current for a plurality of contacts on a lead. Patient feedback is received while the stimulation current is being ramped up. Patient feedback indicates that the patient is beginning to feel stimulation. Based on the patient feedback, amplitude of the stimulation current that resulted in the patient feedback is recorded, and contacts are divided into groups. The contacts are activated one group at a time to the recorded amplitude. For each activated group of contacts, whether the patient can feel stimulation is determined. Thereafter, the target group that caused the patient to feel stimulation is then sub-divided into sub-groups. This process repeats a plurality of cycles until one or more contacts that caused the patient to feel stimulation are identified. The recorded amplitude is assigned as a perception threshold for the identified one or more contacts.

A non-zero starting value for ramping up a stimulation parameter for an electrical stimulation to be delivered to a patient is determined. The non-zero starting value is customized to the patient. A pulse generator is caused to generate the electrical stimulation, which is delivered to the patient via an implanted lead. The pulse generator is caused to ramp up, from the determined non-zero starting value and toward a predefined maximum limit value, the stimulation parameter for a plurality of electrode contacts on the lead. Feedback is received from the patient in response to the ramping up. The feedback is received via an electronic patient feedback device. Based on the ramping up and the received feedback from the patient, a perception threshold is determined for each of the plurality of electrode contacts. The perception threshold is a value of the stimulation parameter that corresponds to the patient feeling the electrical stimulation.

The present disclosure involves a method of measuring a physiological feedback from a patient in response to electrical stimulation. A stimulation parameter of a sacral nerve stimulation therapy is ramped up. The sacral nerve stimulation therapy includes electrical pulses generated by a pulse generator based on programming instructions received from an electronic programmer. The electrical pulses are delivered to a patient via a stimulation lead that is implanted in the patient. Via an anal electrode device that is at least partially inserted inside an anal canal of the patient, a compound motor action potential (CMAP) is measured from an anal sphincter of the patient while the stimulation parameter of the sacral nerve stimulation therapy is being ramped up. A stimulation threshold is determined based on the measured CMAP.

The present invention relates to a computerized system for and method of providing precision healthcare services such as consultation, education, assessment, diagnosis, intervention, or treatment at a distance via encrypted real-time image and audio presence where the healthcare professional's assessment, diagnosis, and intervention activities are informed by patient feedback, smart objects, and artificial intelligence and patient outcomes are optimized through recursive system feedback. The present invention is unlimited with regard to the type of patient entity or healthcare professional entity.

An implantable neurostimulator for treating disorders such as epilepsy, pain, movement disorders and depression includes a detection subsystem capable of detecting a physiological condition and a therapy subsystem capable of providing a course of therapy in response to the condition. The therapy subsystem includes an auto-adjust module for automatically adjusting one or more parameters of the therapy so that the therapy subsystem can provide an adjusted parameter to the patient and solicit the patient's feedback concerning the adjustment without requiring the presence of, or immediate involvement with, a clinician or physician. The patient feedback can be analyzed by computer, clinician or a combination of both to determine an optimal range of parameters for subsequent courses of therapy. In this manner, information useful in tuning the neurostimulator therapy parameters to optimize them for individual patient can be acquired automatically outside of the traditional clinical setting, saving time and minimizing patient fatigue that otherwise would be experience in marathon, in-clinic tuning sessions. The auto-adjust module also can be configured to prompt the patient to provide feedback even when parameters are not being adjusted, so as to acquire information for a baseline or about any placebo effect when the patient is otherwise expecting changes to the therapy to be made.

A computer assisted programming method includes ramping up a stimulation current for a plurality of contacts on a lead. Patient feedback is received while the stimulation current is being ramped up. Patient feedback indicates that the patient is beginning to feel stimulation. Based on the patient feedback, amplitude of the stimulation current that resulted in the patient feedback is recorded, and contacts are divided into groups. The contacts are activated one group at a time to the recorded amplitude. For each activated group of contacts, whether the patient can feel stimulation is determined. Thereafter, the target group that caused the patient to feel stimulation is then sub-divided into sub-groups. This process repeats a plurality of cycles until one or more contacts that caused the patient to feel stimulation are identified. The recorded amplitude is assigned as a perception threshold for the identified one or more contacts.

A method of optimizing the electrical stimulation of a bladder of a patient including selecting a first subset of electrodes from a set of electrodes positioned adjacent to a set of nerves associated with the bladder. The set of electrodes may include one or more electrodes, each of which may be configured to deliver electrical stimulation pulses generated by a stimulator device to the nerves. The method may further include delivering an electrical stimulation pulse through the selected first subset of electrodes and recording at least one parameter of the electrical stimulation pulse after receiving patient feedback.

A non-zero starting value for ramping up a stimulation parameter for an electrical stimulation to be delivered to a patient is determined. The non-zero starting value is customized to the patient. A pulse generator is caused to generate the electrical stimulation, which is delivered to the patient via an implanted lead. The pulse generator is caused to ramp up, from the determined non-zero starting value and toward a predefined maximum limit value, the stimulation parameter for a plurality of electrode contacts on the lead. Feedback is received from the patient in response to the ramping up. The feedback is received via an electronic patient feedback device. Based on the ramping up and the received feedback from the patient, a perception threshold is determined for each of the plurality of electrode contacts. The perception threshold is a value of the stimulation parameter that corresponds to the patient feeling the electrical stimulation.

The present invention relates to a patient feedback system (10) for providing feedback information on the use of a therapeutic device (14) to a patient (12), said system (10) comprising: an interface (34) for receiving personal profile data (18) of the patient (12); a database (16) for storing reference profile data (18') and reference device settings (54) from a plurality of reference patients (42) using therapeutic devices; a cohort selection module (36) for comparing the personal profile data (18) of the patient (12) with the reference profile data (18') of the reference patients (42) in the database (16) and for determining a cohort (44) for the patient (12) from the plurality of reference patients (42) based upon said comparison, wherein said cohort (44) comprises a subset of the reference patients (42) having reference profile data (18') similar to the personal profile data (18) of the patient (12); and a feedback unit (38) for determining feedback information based on the reference device settings (54) of the reference patients (42) in the cohort (44) and for providing said feedback information to the patient (12).

A patient feedback device for use in an electrical stimulation system is calibrated. The electrical stimulation system includes an implantable pulse generator (IPG) implanted in a patient and a patient feedback device having a force sensor. Input from the patient is sensed using the patient feedback device. At a first time, an electrical stimulus is applied with the IPG. The force sensor is monitored at a plurality of time points. A level of force sensed by the force sensor at each of the plurality of time points is recorded. A time point at which a maximum force is applied is identified, or a time point at which a minimum force is applied is identified. The first time is compared to the time point at which a minimum force is applied or the time point at which a maximum force is applied, in order to determine a patient response time.

An audio prostheses having a set of operating parameters is fit to an implanted patient. An audio stimulation pattern is initiated to the audio prosthesis. A fit adjustment process is performed during the audio stimulation pattern, which includes: changing a set of selected operating parameter values. Patient feedback is received that indicates a subjective performance evaluation of operation of the audio prosthesis. The process is repeated (e.g., continuously) to collect performance evaluation data related to the operating parameter values. Then the operating parameters are set based on the performance evaluation data.