A system is provided for detecting fluid accumulation in a subject. A movement induced by the beating of the heart is analyzed over time, by monitoring a movement, pressure or force. Changes in density caused by fluid accumulation result in changes in the sensor arrangement signals. Changes are used to indicate that fluid accumulation such as internal bleeding is likely to have taken place.

The present invention will provide a measuring device embedded within an elastic garment that will provide detect bodily movement by deforming a conductive material and measuring the change in electrical quantities within the conductive material as it deforms. Furthermore, the present invention will provide a measuring device configured to incorporate machine learning algorithms to estimate physiological, kinematic, dynamic, psychological, physical, biological, or other health parameters based upon the variations in electrical quantities within the conductive material as it deforms. This is accomplished through an elastic textile, a conductive element embedded within the elastic textile, and an electronic device configured to measure electrical quantities of the conductive element. These elements work in conjunction to detect and monitor movement in the human body.

Modular, miniaturized cardiovascular sensors, systems, methods, and wearable devices for the non-obtrusive evaluation, monitoring, and high-fidelity mapping of cardiac mechanical and electromechanical forces and central arterial blood pressure are presented herein. The sensor manufacturing process is also presented. Using accelerometers, the sensors register body-surface (preferably torso-surface) movements and vibrations generated by cardiac forces. The sensors may contain single-use or reusable components, which may be exchanged to fit different body sizes, shapes, and anatomical locations; they may be incorporated into clothing, bands, straps, and other wearable arrangements. The invention presents a practical, noninvasive solution for electromechanical mapping of the heart, which is useful for a wide range of healthcare applications, including the remote monitoring of heart failure status and the guidance of cardiac resynchronization therapy. Exercise and cardiovascular fitness tracking applications are also presented.

Systems and methods are provided for detecting and analyzing changes in a body. A system includes an electric field generator, an external sensor device, a quadrature demodulator, and a controller. The electric field generator is configured to generate an electric field that associates with a body. The external sensor device sends information to the electric field generator and is configured to detect a physical change in the body in the electric field, where the physical change causes a frequency change of the electric field. The quadrature demodulator receives the electric field from the electric field generator and is configured to detect the frequency change of the electric field and to produce a detected response. The controller, coupled to the electric field generator, is configured to output a frequency control signal to the electric field generator and to modify the frequency of the electric field by adjusting the frequency control signal.

A biological information detecting apparatus includes: an LC resonant pressure sensor including a resonant circuit including a capacitor and an inductor, and having a resonant frequency that changes depending on a change in external pressure applied to the capacitor; and an integrated circuit (IC) chip package including a coil type antenna radiating a radio frequency (RF) signal within a preset frequency band, wherein a change in the resonant frequency results in a change in a power transmission rate depending on a inductive coupling between the resonant frequency and a frequency of the RF signal. The IC chip package includes the coil type antenna disposed in a region overlapping the LC resonant pressure sensor in a plan view of the IC chip package.

Wrist-worn devices and related methods measure a pulse transit time non-invasively and calculate a blood pressure value using the pulse transit time. A wrist-worn device includes an accelerometer, a photo-plethysmogram (PPG) or a pulse pressure sensor, and a controller. The PPG or the pulse pressure sensor coupled to the wrist-worn device for detecting an arrival of a blood pressure pulse at the user's wrist. The controller is configured to process output signals from the accelerometer to detect when the blood pressure pulse is propagated from the left ventricle of the user's heart, process a signal from the PPG or the pulse pressure sensor to detect when the blood pressure pulse arrives at the wrist, calculate a pulse transit time (PTT) for propagation of the blood pressure pulse from the left ventricle to the wrist, and generate one or more blood pressure values for the user based on the PTT.

Provided are a heart physiological parameter measurement method, device and terminal, and a computer storage medium. The method comprises: respectively obtaining back vibration information and shoulder vibration information of an object to be measured in a supine state by means of one or more shoulder vibration sensitive sensors and back vibration sensitive sensors; respectively generating first hemodynamic related information and second hemodynamic related information on the basis of the back vibration information and the shoulder vibration information, the second hemodynamic related information comprising right shoulder second hemodynamic related information generated from right shoulder vibration information; determining a reference AVC time point of an AVC event on the basis of the first hemodynamic related information; and determining an AVC feature point of the AVC event on the basis of the reference AVC time point and the right shoulder second hemodynamic related information.

Apparatus for monitoring a clinical condition of a subject is described. At least one motion sensor detects motion of the subject and generates a sensed motion signal responsive to the sensed motion. A signal analyzer is adapted to determine a heartbeat-related signal from the sensed motion signal, to determine a first breathing-rate-related signal from the heartbeat-related signal, and to determine a second breathing-rate-related signal directly from the sensed motion signal. The signal analyzer determines the validity of the heartbeat-related signal by comparing the first breathing-rate-related signal with the second breathing-rate-related signal. Other applications are also described.

Provided is a system for measuring biological signals of a user, which includes a sensor module configured to acquire ballistocardiogram (BCG) signals of a user via a present channel, where the present channel is at least one channel of the sensor module, a decomposition module configured to decompose the BCG signals to decomposed signals, a reconstruction module configured to reconstruct at least a portion of the decomposed signals to reconstructed signals, a processing module configured to process the reconstructed signals to at least one of a heart rate, respiration rate, phases of respiration, and blood pressure, and a display module configured to display at least one output corresponding to the at least one of the heart rate, the respiration rate, phases of respiration, and the blood pressure on a display device.

The invention described provides a way to use video image to estimate the human artery blood pressure reducing or completely eliminating the need for human contact (non invasive). Since video images can be stored and transmitted, the estimation of the blood pressure can be performed locally, remotely and in real time or offline.