According to an example aspect of the present invention, there is provided a method for the delivery of a session of therapeutic transcranial magnetic stimulation, TMS, the method comprising: defining a session of transcranial magnetic stimulation, TMS, the session of TMS comprising a plurality of pulse trains, each pulse train comprising at least one burst and each burst comprising at least one pulse pair; placing a TMS device relative to an individual's brain such that the TMS device targets a selected region within the brain; and applying the session of TMS using the TMS device, wherein each pulse train comprises 2 to 20 bursts, the interval between bursts being 80 to 500 ms, the interval between pulses of the at least one pulse pair is 1 to 20 ms, and the interval between pulse trains is 1 to 60 seconds.

The embodiments herein achieve methods for treating a human body part using ultra-low magneto-electric field. The method includes acquiring, by at least one of a server (300) and a medical device (100), at least one amplitude, at least one frequency, at least one phase and at least one rhythm. Further, the method includes generating, by at least one of the server (300) and the medical device (100), a plurality of ultra-low magneto-electric field based on the at least one acquired amplitude, at least one acquired frequency, at least one acquired phase and at least one acquired rhythm.

The embodiments herein achieve methods for treating a human body part using ultra-low magneto-electric field. The method includes acquiring, by at least one of a server (300) and a medical device (100), at least one amplitude, at least one frequency, at least one phase and at least one rhythm. Further, the method includes generating, by at least one of the server (300) and the medical device (100), a plurality of ultra-low magneto-electric field based on the at least one acquired amplitude, at least one acquired frequency, at least one acquired phase and at least one acquired rhythm.

An aspect of the present invention, a brain function determination apparatus includes a first acquisition unit, a first conversion unit, and an identification unit. The first acquisition unit is configured to acquire brain function data including a temporal change, indicating a brain function state measured by a measurement apparatus. The first conversion unit is configured to convert the brain function data acquired by the first acquisition unit, to first converted data including information on at least a time and a space as dimensions. The identification unit is configured to perform an identification process of determining a brain disease and identifying a brain disease region, using the first converted data as an input of a deep learning model constructed by predetermined deep learning.

An aspect of the present invention, a brain function determination apparatus includes a first acquisition unit, a first conversion unit, and an identification unit. The first acquisition unit is configured to acquire brain function data including a temporal change, indicating a brain function state measured by a measurement apparatus. The first conversion unit is configured to convert the brain function data acquired by the first acquisition unit, to first converted data including information on at least a time and a space as dimensions. The identification unit is configured to perform an identification process of determining a brain disease and identifying a brain disease region, using the first converted data as an input of a deep learning model constructed by predetermined deep learning.

Neurological Disease Mechanism Analysis for Diagnosis, Drug Screening, (Deep) Brain Stimulation Therapy design and monitoring, Stem Cell Transplantation therapy design and monitoring, Brain Machine Interface design, control, and monitoring.

Neurological Disease Mechanism Analysis for Diagnosis, Drug Screening, (Deep) Brain Stimulation Therapy design and monitoring, Stem Cell Transplantation therapy design and monitoring, Brain Machine Interface design, control, and monitoring.

Environmental characteristics of habitable environments (e.g., hotel or motel rooms, spas, resorts, cruise boat cabins, offices, hospitals and/or homes, apartments or residences) are controlled to eliminate, reduce or ameliorate adverse or harmful aspects and introduce, increase or enhance beneficial aspects in order to improve a “wellness” or sense of “wellbeing” provided via the environments. Control of intensity and wavelength distribution of passive and active Illumination addresses various issues, symptoms or syndromes, for instance to maintain a circadian rhythm or cycle, adjust for “jet lag” or season affective disorder, etc. Air quality and attributes are controlled. Scent(s) may be dispersed. Noise is reduced and sounds (e.g., masking, music, natural) may be provided. Environmental and biometric feedback is provided. Experimentation and machine learning are used to improve health outcomes and wellness standards.

A system for aiding a subject development of physical, mental, and/or emotional skills, subject awareness of their mind state, body state, and/or emotional state, and providing subject biofeedback includes subject-internal signal sensing devices wearable by the subject for sensing signals generated internal to the subject's body; subject-external signal sensing devices for sensing signals generated external to the subject's body; a local computing unit configured for authenticated wireless communication with the subject-internal and subject-external signal sensing devices, and presenting particular types of mind state, body state, and emotional state information to the subject, for instance, in the form of biofeedback (e.g., mind-body state biofeedback, and/or mind-body-emotion state biofeedback); and a cellular network communication unit configured for communicating data corresponding to sensed subject-internal signals and sensed subject-external signals to at least one server by way of at least one cellular network.

A physiological signal sensing system and a physiological signal sensing method are provided. The physiological signal sensing system includes a signal processing device and a physiological signal sensing device having a plurality of sensing electrodes. The sensing electrodes are used to contact the skin of an organism to sense a plurality of physiological signals. The signal processing device is coupled to the physiological signal sensing device to receive the physiological signals, compares these physiological signals with the reference physiological signal pattern to obtain a comparison result, selects a selected electrode pair from the sensing electrodes based on the comparison result, and uses the selected electrode pair to perform physiological signal measurement on the organism during a normal operation period.