Provided herein are methods, devices, compositions, and kits for monitoring neuromodulation efficacy based on changes in the level or activity of one or more target biomarkers.

A data acquisition device includes measuring instruments to generate physiological and/or psychological data streams. Microprocessors within the acquisition device process the generated data streams into metrics, which feed into stress function algorithms. Algorithm processing may occur either on the device, or metrics may be communicated via wireless communication for external processing on mobile devices and/or cloud-based platforms. The calculated stress functions inform cloud-based computational systems biology-derived models describing the dynamics of hormones and neurotransmitters released in the body in response to stressful stimuli. Stress hormone levels are quantified using these models, and are used in combination to serve as biologically inspired metrics of acute and chronic stress an individual is experiencing.

Method and system for monitoring the autonomic nervous system (ANS) of a subject, comprising acquiring at least one physiological signal having W heartbeats, generating data which is a function of the variability of the heart rate on the W heartbeats, with the HRV having W1 RR intervals separating two consecutive heartbeats detected respectively at the moments tk1 and tk, each RR interval having a duration of value a=tt1 with k=(XW+2) . . . X; calculating at least one parameter taken from the parameter TAS(tx) representing the level of activity of the sympathetic system and/or the parameter TAP(tx) representing the level of activity of the parasympathetic system; and/or other parameters such as the parameter SL(tx) representing stress level of the subject at the moment tx and calculated using the equation such that SL(tx)=100+TAS(tx)TAP(tx); and supplying data representative of at least one parameter.

Described are methods, devices, and systems for a novel, inexpensive, easy to use therapy for a number of disorders. Described are methods and devices to treat disorders that involves no medication. Methods and devices described herein use alternating magnetic fields to gently tune the brain and affect mood, focus, and cognition of subjects.

A method and system for determining homeostatic risk in a patient, in order to screen metabolic diseases and/or their complications and/or their treatment management, is provided. The method includes receiving, from one or more sensors coupled with the patient, galvanic skin response, bioimpedance, a photoplethysmogram (PTG), and blood pressure from the patient, calculating a first score based on the PTG, calculating a second score based on the galvanic skin response, calculating a third score based on the bioimpedance, calculating a fourth score based on the blood pressure, calculating a homeostatic risk score based on the first, second, third and fourth scores that were calculated, wherein the homeostatic risk score corresponds to the homeostatic risk of the patient, and displaying the homeostatic risk score.

One or more temporal stimulation parameters of vagus nerve stimulation (VNS) are selected to substantially modulate one or more target physiological functions without substantially modulating one or more non-target physiological functions. In one embodiment, a stimulation duty cycle is selected such that VNS is delivered to the cervical vagus nerve trunk to modulate a cardiovascular function without causing laryngeal muscle contractions.

A computer readable storage medium having stored thereon an information processing program executable by a computer of an information processing device which presents information corresponding to a biological signal acquired from a user, is provided. The information processing program causes the computer to function as biological signal acquiring means, motion/attitude information acquiring means, and presentation means. The biological signal acquiring means acquires the biological signal from the user. The motion/attitude information acquiring means acquires information about a motion or an attitude of the user from detecting means, in association with the biological signal acquired by the biological signal acquiring means. The presentation means performs predetermined presentation based on both the biological signal acquired by the biological signal acquiring means and the information acquired by the motion/attitude information acquiring means.

Methods are provided for non-invasive early screening of a subject for a neurodegenerative disorder, by analyzing one or more parameters associated with the neurodegenerative disorder.

Described herein are methods, devices, and systems for treating human anemia. The methods, devices, and systems generally include monitoring a patients hemoglobin level and at least one of autonomic balance and inflammatory state to determine the etiology of the anemic state, modulating at least one of a sympathetic or parasympathetic nerve based on the cause of the anemia, monitoring for changes in the patients cardiac activity and state of inflammation, and hemoglobin level. An external neurostimulation system is describes, and well as a chronic implantable system. A method for treating a patient for anemia in conjunction with a renal denervation ablation catheter is also disclosed.

A system for monitoring autonomic health may include an autonomic nerve stimulation (ANS) dose delivery system and a response extractor. The response extractor may be configured to record physiological parameter values including first population data that includes evoked response (ER) values corresponding to evoked physiological responses, and second population data that includes reference values that include no effect (NE) values corresponding to times without a physiological response. The response monitor may calculate evoked response metrics (ERMs) using the first and second population data where each of the ERMs may be dependent on background autonomic activity. The response extractor may analyze the ERMs to provide ERM analysis, and provide an indication of autonomic health using the ERM analysis.