Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

A method for configuring a myoelectrically controlled prosthetic system with a prosthesis socket and several lead electrodes for recording electric muscle activities, featuring the steps: placement of a surface electrode arrangement comprising several surface electrodes around the circumference of a residual limb, recording of electric muscle activity in muscles of the residual limb as electromyograhic signals, the activity being recorded by the surface electrodes, evaluation of the myoelectric signals with regards to the distinctness of the signals, selection of the control procedure that is to be used to control the prosthesis system, based on the evaluation of the distinctness of the signals, and fixing of the lead electrodes to the prosthesis socket.

A method for configuring a myoelectrically controlled prosthetic system with a prosthesis socket and several lead electrodes for recording electric muscle activities, featuring the steps: placement of a surface electrode arrangement comprising several surface electrodes around the circumference of a residual limb, recording of electric muscle activity in muscles of the residual limb as electromyograhic signals, the activity being recorded by the surface electrodes, evaluation of the myoelectric signals with regards to the distinctness of the signals, selection of the control procedure that is to be used to control the prosthesis system, based on the evaluation of the distinctness of the signals, and fixing of the lead electrodes to the prosthesis socket.

A novel ECG electrode connector adapted for attachment to a biomedical patient electrode by either pinch or snap connection is disclosed. A closed-end electrical connector includes a pair of pivotally connected members including a main connector body having two electrically conductive contacts located in proximity to one side of an ECG stud, and a jaw pivotally connected thereto and resiliently biased to a closed position. An ECG electrode connector in accordance with the present disclosure may further be fabricated of radiolucent materials.

A novel ECG electrode connector adapted for attachment to a biomedical patient electrode by either pinch or snap connection is disclosed. A closed-end electrical connector includes a pair of pivotally connected members including a main connector body having two electrically conductive contacts located in proximity to one side of an ECG stud, and a jaw pivotally connected thereto and resiliently biased to a closed position. An ECG electrode connector in accordance with the present disclosure may further be fabricated of radiolucent materials.

A veterinary vital signs monitoring system, including: (A) two stretchable bands, each having an electrically conductive component; (B) a housing including two fasteners with electrically conductive contacts, each fastener adapted to receive, and lock therein a portion of one of the bands, the conductive contacts adapted to make an electrical connection with electrically conductive components of the bands; and (C) a module housed in the housing and in electrical communication with the conductive contacts, the monitoring module adapted to receive signals relating to vital signs of the animal on which the bands are mounted, via the conductive components thereof.

A veterinary vital signs monitoring system, including: (A) two stretchable bands, each having an electrically conductive component; (B) a housing including two fasteners with electrically conductive contacts, each fastener adapted to receive, and lock therein a portion of one of the bands, the conductive contacts adapted to make an electrical connection with electrically conductive components of the bands; and (C) a module housed in the housing and in electrical communication with the conductive contacts, the monitoring module adapted to receive signals relating to vital signs of the animal on which the bands are mounted, via the conductive components thereof.

A belt used in an electrocardiographic measurement apparatus includes a belt body to be wrapped around a living body, three or more base electrodes disposed in a longitudinal direction of the belt body, and two or more cap electrodes detachable and attachable to the base electrodes and smaller in number than the number of base electrodes.

A belt used in an electrocardiographic measurement apparatus includes a belt body to be wrapped around a living body, three or more base electrodes disposed in a longitudinal direction of the belt body, and two or more cap electrodes detachable and attachable to the base electrodes and smaller in number than the number of base electrodes.

A human body sensing mat for sensing the movement of a human body, comprises: a substrate; a sensor array including a plurality of fiber sensors for generating signals according to a distance to a specific object, and disposed on the substrate; and a driving unit for applying a voltage to the sensor array, wherein the sensor array includes a plurality of sensing lines arranged in parallel in a first direction, and regarding the plurality of sensing lines, a first distance between neighboring sensing lines connected to different electrodes is greater than a second distance between neighboring sensing lines connected to the same electrode. The human body sensing mat can analyze user's movements and biometric signals regardless of the user's posture.