Abstract:
What is disclosed is a system and method for determining a subject of interest's arterial pulse transit time from time-varying source signals generated from video images. In one embodiment, a video imaging system is used to capture a time-varying source signal of a proximal and distal region of a subject of interest. The image frames are processed to isolate localized areas of a proximal and distal region of exposed skin of the subject. A time-series signal for each of the proximal and distal regions is extracted from the source video images. A phase angle is computed with respect to frequency for each of the time-series signals to produce respective phase v/s frequency curves for each region. Slopes within a selected cardiac frequency range are extracted from each of the phase curves and a difference is computed between the two slopes to obtain an arterial pulse transit time for the subject.
Abstract:
What is disclosed is a novel system and method for extracting photoplethysmographic (PPG) signals (i.e., cardiac signals) on a continuous basis from signals generated from video images captured of a subject being monitored for cardiac function in a non-contact remote sensing environment. In one embodiment, a time-series signal is received. The time-series signal is generated from video images captured of a region of exposed skin where a PPG signal of a subject of interest can be registered. The time-series signal is then divided into batches for processing, with successive batches having at least a 95% overlap with a previous batch. Each of the batches of time-series signals is processed to obtain a PPG signal from each batch. A mid-point of each of these PPG-signals is stitched together to obtain a continuous PPG signal for the subject. The continuous PPG signal for the subject can then viewed on a display device.
Abstract:
What is disclosed is a system and method for estimating a vector of skin parameters from in-vivo color measurements obtained from a video. In one embodiment, a video of exposed skin is received which comprises a plurality of time-sequential image frames acquired over time t. A vector of in-vivo color measurements is obtained on a per-frame basis from at least one imaging channel of a video imaging device used to capture the video. In a manner more fully disclosed herein, an intermediate vector of estimated skin parameters is determined based on an initial vector of estimated skin parameters and the in-vivo color measurements of all image frames averaged over time t. A final vector of estimated skin parameters is then determined for each image frame of the video based on the intermediate vector. The temporally successive final vectors are used to predict changes in time-varying skin parameters for the subject.
Abstract:
What is disclosed is a system and method for representing a subject's state of mind given a plurality of physiological inputs. In one embodiment, a vector of physiological features is received. The vector of physiological features is provided to a psychophysiological model which comprises a plurality of models which fit the physiological features to psychological quantities, each representing a different state of mind. In a manner more fully disclosed herein, the psychological quantities are then aggregated to obtain an aggregate output that is representative of the subject's overall state of mind. Once the subject's state of mind has been represented, remedial action can then be taken.
Abstract:
What is disclosed is a software interface tool for breast cancer screening that is designed for medical professionals to view and analyze suspicious regions for hot spots and hence facilitate a determination of whether identified areas of breast tissue are cancerous. Isotherm maps are constructed at designated temperature resolution. Maps are displayed on the screen. Point & click on the isotherm map can extract temperature values of pixels within the region covered by the isotherm contours. Also provided are isothermic views at different viewing angles which is advantageous for visual detection. Additional functionalities for hotspot selection, cropping, zooming, viewing at different angles, etc. are also enabled by the present software interface. The present software interface further utilizes a tumor detection method which is also disclosed herein.
Abstract:
Embodiments of a system are disclosed for stress assessment of a call center agent while interacting with a customer. The system is for use with a communication network. The system includes a stress assessment device and an agent device that includes an imaging unit. The agent device is configured to capture video of a target region of exposed skin of the agent using the imaging unit, collect customer interaction data based on interaction with a customer device over the communication network, and communicate the captured video and the customer interaction data to the stress assessment device. The stress assessment device is configured to passively estimate agent stress-level based on the received video, and generate feedback to the agent based on correlation between the customer interaction data and the estimated stress-level over a predefined time interval.
Abstract:
What is disclosed is a system and method for detecting an arrhythmic or non-arrhythmic event from a cardiac signal obtained from a subject. In one embodiment, a plurality of different cardiac signals are received and are transformed into frequency domain signals which, in turn, are changed such that a dominant frequency in each of the signals is substantially aligned to form a matrix of feature vectors. The feature matrix is used to train a classifier. A cardiac signal from the subject is received and transformed to a frequency domain signal. The frequency domain signal is changed such that a dominant is substantially aligned with a dominant frequency of signals used to train the classifier. The subject's frequency domain signal is provided as a new feature vector to the classifier. The classifier uses the new feature vector to classify the subject as having an arrhythmic or a non-arrhythmic event.
Abstract:
What is disclosed is a system and method identifying a type of cardiac event from cardiac signals obtained from a subject. In one embodiment, at least two clusters are formed. Each cluster is associated with a different cardiac event based on features of interest identified from various cardiac signal segments. At least one of the clusters is associated with a cardiac event which is an arrhythmia and one of the clusters is associated with a non-arrhythmia. A new cardiac signal segment of a subject is received. The signal segment is analyzed to identify features of interest. A distance is calculated between each of the clusters and the identified features of interest obtained from having analyzed the subject's cardiac signal segment. A cardiac event is identified for the subject based on the type of cardiac event associated with the cluster which the subject's features of interest had a shortest distance to.
Abstract:
What is disclosed is a system and method for increasing the accuracy of physiological signals obtained from video of a subject being monitored for a desired physiological function. In one embodiment, image frames of a video are received. Successive batches of image frames are processed. For each batch, pixels associated with an exposed body region of the subject are isolated and processed to obtain a time-series signal. If movement occurred during capture of these image frames that is below a pre-defined threshold level then parameters of a predictive model are updated using this batch's time-series signal. Otherwise, the last updated predictive model is used to generate a predicted time-series signal for this batch. The time-series signal is fused with the predicted time-series signal to obtain a fused time-series signal. The time-series signal for each batch is processed to obtain a physiological signal for the subject corresponding to the physiological function.
Abstract:
What is disclosed is a system and method for determining a pulse transit time for a subject. In one embodiment, the system comprises a handheld wireless cellular device configured with a sensor to acquire an electrocardiogram (ECG) signal from the subject and a photodetector generating a time-series signal in response to continuously sensing a reflection of source light off a region of exposed skin of the subject where a photoplethysmographic (PPG) signal can be detected by the photodetector. In one embodiment, the time-series signal is a PPG signal. In another embodiment, the time-series signal is processed to extract a PPG signal. A temporally overlapping segment of the PPG and ECG signals is analyzed to obtain a pulse transit time between a reference point on the PPG signal and a reference point on the ECG signal. The pulse transit time is used to assess pathologic conditions such as peripheral vascular disease.