A biosignal measurement apparatus comprises a data processing unit, and a first sensor, which is attachable to a surface of a body section at or adjacent to ribs and/or a neck and configured to convert movement pulses of the body section caused by muscular work of a heart at systolic and diastolic phases into pulses of an electric signal. The data processing unit receives the electric signal from the first sensor, and forms and outputs data about blood pressure on the basis of a characteristic feature of at least one of the movement pulses associated with the systolic phase and/or a characteristic feature of at least one of the movement pulses associated with the diastolic phase.

Discussed generally herein are methods and devices including or providing a patch system that can help in diagnosing a medical condition and/or provide therapy to a user. A body-area network can include a plurality of communicatively coupled patches that communicate with an intermediate device. The intermediate device can provide data representative of a biological parameter monitored by the patches to proper personnel, such as for diagnosis and/or response.

The present invention relates to a device and method for determining vital sign information of a subject (2). The proposed device comprises an input unit (11) for receiving image data of the subject, said image data including a sequence of images over time, an ROI selection unit (12) for selecting an initial region of interest, ROI, within an image, a feature selection unit (13) for selecting one or more spatial features of a body part within the initial ROI, a motion signal extraction unit (14) for extracting from said image data within the initial ROI the direction and/or amplitude of motion of a subject's body part related to a desired vital sign of the subject, a detection unit (15) for detecting one or more spatial features of said selected spatial features, whose motion is not related to the desired vital sign of the subject, a tracking unit (16) for tracking the initial ROI based on changes of the position of said one or more detected spatial features within the initial ROI, to obtain a final ROI, and a vital signs extraction unit (17) for extracting the desired vital sign from the final ROI.

The physical and/or mental condition of a vehicle occupant can be recognized on the basis of a BCG (ballistocardiograph) signal, which is obtained by means of a BCG sensor. The BCG sensor is an MEM sensor; a cross-correlation of the BCG signal with heartbeat parameters is carried out in an optimum filter, which heartbeat parameters are varied within predefined limits to find a maximum of the cross-correlation function; and probable peaks are located in a cross-correlation function found in this manner and the heart rate is calculated therefrom.

In a telemedicine system, physiological sensors are provided in a toilet seat for monitoring physiological parameters of the subject, corroborate sensor data against other sensor data and notify personnel in the event of a problem or Concern.

A method of detecting fatigue of a user during an activity includes acquiring performance data for the user during the activity and computing metrics related to the performance data. The method also includes determining that the metrics exceed a predetermined threshold, generating an alert, and communicating the alert to the user.

Apparatus and methods are described, including apparatus for use with a subject who shares a bed with a second person. A motion sensor detects motion of the subject and motion of the second person, and generates a motion signal in response thereto. A control unit identifies components of the motion signal that were generated in response to motion of the subject, by distinguishing between components of the motion signal that were generated in response to motion of the subject, and components of the motion signal that were generated in response to motion of the second person. The control unit analyzes the components of the motion signal that were generated in response to motion of the subject and generates an output in response thereto. Other applications are also described.

In one aspect, a sensory, motor and/or cognitive analysis device includes a casing unit structured to include a contact side conformable to a forehead region of a user; a data acquisition unit structured to include one or more sensors to detect electrophysiological signals of the user when the user makes contact with the device; a data processing unit encased within the casing unit and in communication with the data acquisition unit to amplify and digitize the detected electrophysiological signals as data, to process the data, to store the data, and to transmit the data to a remote computer system; and a power supply unit encased within the casing unit to provide electrical power, in which the device is operable to acquire physiological and/or behavioral signal data from the user used to determine a quantitative and/or qualitative information set associated with a cognitive or sensory assessment.

An injection device is described including a detection unit that includes an electrode that detects electrical characteristics of a biological tissue, a follow-up mechanism that follows motions of the biological tissue, and a puncture unit capable of puncturing the biological tissue. The injection device is configured to administer a predetermined substance to the biological tissue through a hollow portion defined in the puncture unit. A position of the puncture unit is specified based on a position of the electrode. The follow-up mechanism includes a spiral portion spirally extending around the puncture unit, and being stretchable and compressible along an extending direction of the puncture unit. Electrodes are disposed on an annular distal-end projected plane of the spiral portion, as seen from a distal end side of the puncture unit, along a circumferential direction of the puncture unit.

Apparatus, system and method for medical analysis of a seated individual, includes determining the aortic valve opening; the PTT; and calculating the PWV. Determining the aortic valve opening includes collecting BCG data while sitting on a seat and determining the timing of the aortic valve opening, taking into account posture. Measuring the aortic pulse wave transit time includes collecting BCG data while sitting on a seat capable of measuring changes in apparent weight; determining the timing of the aortic valve opening; detecting the arrival of the pulse wave at the end point; and measuring the relative timings of the two events. Calculating the PWV includes determining a length of the arterial segment through which a pulse wave is to be measured between a start point and an end point; and dividing the determined length of the arterial segment by the PTT.