Abstract: Devices, systems, and methods herein relate to non-invasive patient monitoring for infection detection and infection resolution. These systems and methods may receive and measure patient biosignals to estimate an infection level of a patient. In some embodiments, a method may include the steps of receiving physiological data of a patient. An infection measure may be estimated based on the physiological data. An infection state of the patient may be detected based at least in part on the estimated infection measure.

Abstract: In illustrative implementations of this invention, a photoplethysmographic device measures variations of light that is reflected from, or transmitted through, human skin. In some implementations, the device includes a camera that takes the measurements remotely. In others, the device touches the skin during the measurements. The device includes a camera or other light sensor, which includes at least orange, green and cyan color channels. In some cases, such as a contact device, the device includes three or more colors of active light sources, including at least orange, green and cyan light sources. A computer analyzes the sensor data, in order to estimate a cardiac blood volume pulse wave. For each cardiac pulse, a computer detects the systolic peak and diastolic inflection of the wave, by calculating a second derivative of the wave. From the estimated wave, a computer estimates heart rate, heart rate variability and respiration rate.

Abstract: An automated system may estimate a patient's level of depression throughout a monitoring period. The system may do so without ever receiving any self-reports from the patient, such as patient answers to a survey regarding the patient's affect. The system may predict the patient's depression level based on passive sensor data regarding the patient during the monitoring period. The passive sensor data may include physiological measurements, such as electrodermal activity measurements and accelerometer measurements. The passive data may also comprise data regarding the patient's smartphone and texting usage. The system's predictions may also be based on a single depression rating for the patient by a clinician, without any further assessments by the clinician.

Abstract: In illustrative implementations of this invention, a photoplethysmographic device measures variations of light that is reflected from, or transmitted through, human skin. In some implementations, the device includes a camera that takes the measurements remotely. In others, the device touches the skin during the measurements. The device includes a camera or other light sensor, which includes at least orange, green and cyan color channels. In some cases, such as a contact device, the device includes three or more colors of active light sources, including at least orange, green and cyan light sources. A computer analyzes the sensor data, in order to estimate a cardiac blood volume pulse wave. For each cardiac pulse, a computer detects the systolic peak and diastolic inflection of the wave, by calculating a second derivative of the wave. From the estimated wave, a computer estimates heart rate, heart rate variability and respiration rate.

Abstract: In illustrative implementations of this invention, a photoplethysmographic device measures variations of light that is reflected from, or transmitted through, human skin. In some implementations, the device includes a camera that takes the measurements remotely. In others, the device touches the skin during the measurements. The device includes a camera or other light sensor, which includes at least orange, green and cyan color channels. In some cases, such as a contact device, the device includes three or more colors of active light sources, including at least orange, green and cyan light sources. A computer analyzes the sensor data, in order to estimate a cardiac blood volume pulse wave. For each cardiac pulse, a computer detects the systolic peak and diastolic inflection of the wave, by calculating a second derivative of the wave. From the estimated wave, a computer estimates heart rate, heart rate variability and respiration rate.

Abstract: In exemplary implementations of this invention, a display screen and speakers present an audiovisual display of an animated character to a human user during a conversational period of a coaching session. The virtual character asks questions, listens to the user, and engages in mirroring and backchanneling. A camera and microphone gather audiovisual data regarding behavior of the user. After the conversational period, the display screen and speakers display feedback to the user regarding the user's behavior. For example, the feedback may include a plot of the user's smiles over time, or information regarding prosody of the user's speech. The feedback may also include playing a video of the user that was recorded during the conversational period. The feedback may also include a timeline of the human user's behavior. The virtual coaching may be provided over the Internet.

Abstract: A sensor system includes one or more gyroscopes and one or more accelerometers, for measuring subtle motions of a user's body. The system estimates physiological parameters of a user, such as heart rate, breathing rate and heart rate variability. When making the estimates, different weights are assigned to data from different sensors. For at least one estimate, weight assigned to data from at least one gyroscope is different than weight assigned to data from at least one accelerometer. Also, for at least one estimate, a weight assigned to one or more sensors located in a first region relative to the user's body is different than a weight assigned to one or more sensors located in a second region relative to the user's body. Furthermore, weight assigned to data from at least one sensor changes over time.

Abstract: In illustrative implementations of this invention, a photoplethysmographic device measures variations of light that is reflected from, or transmitted through, human skin. In some implementations, the device includes a camera that takes the measurements remotely. In others, the device touches the skin during the measurements. The device includes a camera or other light sensor, which includes at least orange, green and cyan color channels. In some cases, such as a contact device, the device includes three or more colors of active light sources, including at least orange, green and cyan light sources. A computer analyzes the sensor data, in order to estimate a cardiac blood volume pulse wave. For each cardiac pulse, a computer detects the systolic peak and diastolic inflection of the wave, by calculating a second derivative of the wave. From the estimated wave, a computer estimates heart rate, heart rate variability and respiration rate.

Abstract: In illustrative implementations, a gyroscope, an accelerometer and a camera gather sensor data indicative of motion of a human head. The gyroscope, accelerometer and camera are each housed in, or attached to, headwear that is worn on the head. In some cases, the headwear comprises a headband, hat, cap, or structure similar to an eyeglasses frame. A computer takes the sensor data as input and calculates a heart rate and respiration rate of the human. In some cases, a computer also calculates heart rate variability. The head motion being measured is caused by forces that are transmitted, at least in part, from the chest, through the neck, and to the head. This head motion is caused, at least in part, by respiration, by heart beats, or by blood flow caused by the heart beats.

Abstract: In exemplary implementations of this invention, a display screen and speakers present an audiovisual display of an animated character to a human user during a conversational period of a coaching session. The virtual character asks questions, listens to the user, and engages in mirroring and backchanneling. A camera and microphone gather audiovisual data regarding behavior of the user. After the conversational period, the display screen and speakers display feedback to the user regarding the user's behavior. For example, the feedback may include a plot of the user's smiles over time, or information regarding prosody of the user's speech. The feedback may also include playing a video of the user that was recorded during the conversational period. The feedback may also include a timeline of the human user's behavior. The virtual coaching may be provided over the Internet.

Abstract: In exemplary implementations of this invention, sensor measurements are taken before, during and after an epileptiform seizure of a human. The sensors measure electrodermal activity (EDA) and heart rate variability (HRV) of the human. The EDA and HRV measurements are used to assess sympathetic activity and parasympathetic activity, respectively. More particularly, in the case of HRV measurements, HF power is used to assess parasympathetic innervation of the heart. HF power is the power of the high frequency (e.g. 0.15 to 0.4 Hz) spectral component of the RRI signal. One or more processors analyze the sensor data to calculate the magnitude of a post-ictal autonomic disturbance. Based on that calculated magnitude, the processors assess the severity of the seizure. A wrist-worn sensor may take long-term, continuous EDA and motion measurements. The processors may analyze these measurements to detect the onset of a tonic-clonic seizure.

Abstract: In an exemplary implementation of this invention, a user wears comfortable biosensors. These sensors gather physiological data from the user and transmit this data to another radio-enabled device. This other device may be a mobile phone. The data is further transmitted, via this other radio-enabled device, to one or more networks (such as wireless networks or the Internet). A processor analyzes this transmitted data, in real time, to recognize patterns in the data that indicate the need for therapeutic intervention. Upon recognition of such a pattern, the processor outputs instructions for a transducer to deliver therapeutic stimuli. These instructions are transmitted, over one or more wired or wireless networks, to a transducer which delivers the therapeutic stimuli to the user.

Abstract: In exemplary implementations of this invention, sensor measurements are taken before, during and after an epileptiform seizure of a human. The sensors measure electrodermal activity (EDA) and heart rate variability (HRV) of the human. The EDA and HRV measurements are used to assess sympathetic activity and parasympathetic activity, respectively. More particularly, in the case of HRV measurements, HF power is used to assess parasympathetic innervation of the heart. HF power is the power of the high frequency (e.g. 0.15 to 0.4 Hz) spectral component of the RRI signal. One or more processors analyze the sensor data to calculate the magnitude of a post-ictal autonomic disturbance. Based on that calculated magnitude, the processors assess the severity of the seizure. A wrist-worn sensor may take long-term, continuous EDA and motion measurements. The processors may analyze these measurements to detect the onset of a tonic-clonic seizure.

Abstract: Repeated random-outcome trials together with affective, cognitive, and behavioral measures of liking and wanting may be used to assess consumer preferences. In an exemplary implementation of this invention, in each trial, a participant selects one of two sources (e.g., one of two beverage dispensers) of a product (e.g., a beverage). Each source dispenses the product randomly, with a probability initially unknown to the participant, but which he or she may guess while trying to select the most desired product. Affective measures of a participant's facial valence and sympathetic nervous system activation are taken while deciding on, anticipating the arrival of, receiving, using, evaluating, and reflecting on the product. The affective measures are combined with cognitive self-report questionnaire items and with behavioral measures to infer wanting and liking of a product.

Abstract: In an exemplary implementation of this invention, a user wears comfortable biosensors. These sensors gather physiological data from the user and transmit this data to another radio-enabled device. This other device may be a mobile phone. The data is further transmitted, via this other radio-enabled device, to one or more networks (such as wireless networks or the Internet). A processor analyzes this transmitted data, in real time, to recognize patterns in the data that indicate the need for therapeutic intervention. Upon recognition of such a pattern, the processor outputs instructions for a transducer to deliver therapeutic stimuli. These instructions are transmitted, over one or more wired or wireless networks, to a transducer which delivers the therapeutic stimuli to the user.

Abstract: System and method for determining a workload level for a driver of a vehicle. The system includes a transceiver, a positioning unit, and a controller. The transceiver is capable of receiving data from a remote location. The data includes a remote workload level and a remote geographic position associated with the remote workload level. The positioning unit is capable of determining a current position of the vehicle. The controller is configured to compare the current position of the vehicle with the remote geographic location. If the current position of the vehicle is within a predetermined range of the remote geographic position, then a workload level for the vehicle will include at least in part the remote workload level.

Abstract: System and method for determining a workload level for a driver of a vehicle. The system includes a transceiver, a positioning unit, and a controller. The transceiver is capable of receiving data from a remote location. The data includes a remote workload level and a remote geographic position associated with the remote workload level. The positioning unit is capable of determining a current position of the vehicle. The controller is configured to compare the current position of the vehicle with the remote geographic location. If the current position of the vehicle is within a predetermined range of the remote geographic position, then a workload level for the vehicle will include at least in part the remote workload level.