The invention provides a system for using optical mapping for producing a 3 dimensional mapping of the characteristics of a body; the system comprising measuring the movement of at least one registration mark on a capture sheet along a predetermined axis and means for using this measurement of the movement of the at least one registration mark to provide an indicator of the characteristics of the body. The invention also provides an apparatus for measuring body characteristics and a method of measuring body characteristics.

A monitoring system and method tracks a patient's position over time and ensures that proper turning or other manipulation is done within the time prescribed. Preferably, the techniques herein continuously monitor patient position and alert medical or other personnel of the need for turning or other patient manipulation. The system may be implemented within a medical or other care facility, or within a patient's home.

Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

The present invention relates to a wearable pressure ulcer detection sensor, and the wearable pressure ulcer detection sensor according to the present invention includes a pressure sensor measuring pressure based on a change in capacitance caused by physical force, a temperature sensor measuring temperature based on a change in electrical conductivity due to electron hopping, and an impedance sensor including two electrodes spaced apart from each other and in contact with skin.

The cushioning material having a sensor 1 includes a resin sheet 4 composed of photoelastic resin, a cushioning material 21 laminated on the resin sheet 4, a photosensor 15 including a light generating unit 5 and a light receiving unit 8 that are disposed to face each other so as to sandwich the resin sheet 4, and a processor 3 that detects a stress applied to the resin sheet 4 based on the light signal detected by the photosensor 15.

A hyperspectral/multispectral imager comprising a housing is provided. At least one light source is attached to the housing. An objective lens, in an optical communication path comprising originating and terminating ends, is further attached to the housing and causes light to (i) be backscattered by the tissue of a subject at the originating end and then (ii) pass through the objective lens to a beam steering element at the terminating end of the communication path inside the housing. The beam steering element has a plurality of operating modes each of which causes the element to be in optical communication with a different optical detector in a plurality of optical detectors offset from the optical communication path. Each respective detector filter in a plurality of detector filters covers a corresponding optical detector in the plurality of optical detectors thereby filtering light received by the corresponding detector from the beam steering element.

A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

The present disclosure provides apparatuses and computer readable media for measuring sub-epidermal moisture in patients to determine damaged tissue for clinical intervention. The present disclosure also provides methods for determining damaged tissue.

Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The equipment includes a patient support apparatus such as a patient bed, a nurse call computer, a physiological monitor, a patient lift, a locating computer of a locating system, and an incontinence detection pad. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

The invention provides a system and method for measuring vital signs and motion from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.