A smart clothes for sensing heart physiological activities and lung respiratory conditions is provided, the smart clothes utilizes conductive connecting elements for being externally connected to a control module, such that the control module can be expanded or upgraded according to functional requirements. Further in the smart clothes, sensing elements and signal transmission wires are made of conductive fabric. As the conductive fabric sensing elements and signal transmission wires are well attached to a clothing body of the smart clothing, the sensing elements can be better adhered to human skin, and thereby sensing accuracy is improved.

An apparatus with a built-in self-test includes a sensor electrode, an impedance sensor coupled to the sensor electrode to measure a test impedance of the sensor electrode as influenced by an external load, a secondary electrode disposed adjacent to the sensor electrode to inductively couple with the sensor electrode and influence the external load on the sensor electrode, a first switch coupled to the secondary electrode to selectively change a second impedance of the secondary electrode, and a controller coupled to the impedance sensor and the first switch. The controller includes logic for adjusting the first switch to wirelessly load the sensor electrode with the secondary electrode in a predetermined impedance state, measuring the test impedance with the impedance sensor while the secondary electrode is in the predetermined impedance state, and comparing the measured test impedance against a threshold impedance range to perform a self-test.

An apparatus with a built-in self-test includes a sensor electrode, an impedance sensor coupled to the sensor electrode to measure a test impedance of the sensor electrode as influenced by an external load, a secondary electrode disposed adjacent to the sensor electrode to inductively couple with the sensor electrode and influence the external load on the sensor electrode, a first switch coupled to the secondary electrode to selectively change a second impedance of the secondary electrode, and a controller coupled to the impedance sensor and the first switch. The controller includes logic for adjusting the first switch to wirelessly load the sensor electrode with the secondary electrode in a predetermined impedance state, measuring the test impedance with the impedance sensor while the secondary electrode is in the predetermined impedance state, and comparing the measured test impedance against a threshold impedance range to perform a self-test.

An interference signal compensation facility in a differential voltage measuring system including a signal measuring circuit for measuring bioelectric signals with a number of useful signal paths, each with a capacitive sensor electrode for the acquisition of a measurement signal, is described. The interference signal compensation facility includes at least one capacitive reference electrode, set up to acquire a reference signal which possibly includes an interference signal generated by an external interference source. Furthermore, the interference signal compensation facility includes an echo compensation unit, set up to filter the measurement signal based upon the capacitively acquired reference signal and to determine an interference-compensated measurement signal. A differential voltage measuring system is also described. Moreover, an X-ray imaging system is described. In addition, a method for generating an interference-reduced biological measurement signal is described.

Provided are a physiological signal sensing system and a physiological signal sensing method. The physiological signal sensing system includes a physiological signal sensing apparatus, a variation sensing apparatus, and a signal processing apparatus. The physiological signal sensing apparatus is disposed on a fabric to sense and provide physiological signals of an organism. The physiological signal sensing apparatus includes capacitive coupling devices. The variation sensing apparatus is disposed on the fabric and includes a distance sensing device to sense a distance between the physiological signal sensing apparatus and the organism, and provide a first capacitance variation signal according to the distance. The signal processing apparatus is coupled to the physiological signal sensing apparatus and the variation sensing apparatus to receive the physiological signals and the first capacitance variation signal and correct the physiological signals according to the first capacitance variation signal to obtain corrected physiological signals.

Provided are a physiological signal sensing system and a physiological signal sensing method. The physiological signal sensing system includes a physiological signal sensing apparatus, a variation sensing apparatus, and a signal processing apparatus. The physiological signal sensing apparatus is disposed on a fabric to sense and provide physiological signals of an organism. The physiological signal sensing apparatus includes capacitive coupling devices. The variation sensing apparatus is disposed on the fabric and includes a distance sensing device to sense a distance between the physiological signal sensing apparatus and the organism, and provide a first capacitance variation signal according to the distance. The signal processing apparatus is coupled to the physiological signal sensing apparatus and the variation sensing apparatus to receive the physiological signals and the first capacitance variation signal and correct the physiological signals according to the first capacitance variation signal to obtain corrected physiological signals.

A system for providing a standard electrocardiogram (ECG) signal for a human body using contactless ECG sensors for outputting to exiting medical equipment or for storage or viewing on a remote device. The system comprises a digital processing module (DPM) adapted to connect to an array of contactless ECG sensors provided in a fabric or the like. A selection mechanism is embedded into the DPM which allows the DPM to identify body parts using the ECG signals of the different ECG sensors and select for each body part the best sensor lead. The DPM may then produce the standard ECG signal using the selected ECG signals for the different body parts detected. The system is adapted to continuously re-examine the selection to ensure that the best leads are selected for a given body part following a movement of the body part, thereby, allowing for continuous and un-interrupted ECG monitoring of the patient.

A sensing system comprising a a hand-held sensing device with a vibracoustic sensor module (VSM). The VSM comprises a voice coil component comprising a coil holder supporting wire windings; a magnet component comprising a magnet supported by a frame, a magnet gap configured to receive at least a portion of the voice coil component in a spaced and moveable manner; a connector connecting the voice coil component to the magnet component, the connector being compliant and permitting relative movement of the voice coil component and the magnet component; a diaphragm configured to induce a movement of the voice coil component in the magnet gap responsive to incident acoustic waves; a housing for retaining the vibroacoustic sensor module having a handle end and a sensor end, the sensor end having an opening, the VSM positioned such that at least a portion of the diaphragm extends across the opening.

There is disclosed a method of and a system for generating a unique identifier for a subject. Biometric data related to the subject is received. Identification markers from the biometric data are extracted. The unique identifier is generated from the extracted identification markers by identifying a given domain specific feature which has a predetermined identity compared to other domain specific features. Feature values are generated based on the biometric data and stored in a user profile of the subject.

There is disclosed a method of and a system for generating a unique identifier for a subject. Biometric data related to the subject is received. Identification markers from the biometric data are extracted. The unique identifier is generated from the extracted identification markers by identifying a given domain specific feature which has a predetermined identity compared to other domain specific features. Feature values are generated based on the biometric data and stored in a user profile of the subject.