Abstract: Snow removal machines are provided that have an auger assembly for directing snow rearwards to be received by a discharge chute, and an auxiliary snow moving assembly for directing snow rearwards to be received by the discharge chute. The auger assembly has auger blade(s) coupled to an auger axle for rotation therewith about a first axis defined by the auger axle. The auxiliary snow moving assembly has snow moving member(s) coupled to an auxiliary axle for rotation therewith about a second axis defined by the auxiliary axle. The auxiliary axle is lower and rearwards of the auger axle towards the discharge chute; and an auxiliary drive assembly is configured to rotationally couple the auxiliary axle to the auger axle such that rotation of the auxiliary axle is driven by rotation of the auger axle.

Abstract: A wearable monitoring device can include an electronics module containing a printed circuit board (PCB) to which one or more sensors are coupled. The one or more sensors can include one or more contacting sensors and/or one or more non-contacting sensors. In some cases, the wearable monitoring device can include an onboard power supply (e.g., a battery) and a wireless communication antenna. The PCB can be constructed to specifically include the one or more sensors on a first side facing the skin of the user when the wearable monitoring device is being worn, allowing one or more processors, memory, and other components to be included on the opposite side facing away from the user. Certain components, such as the power supply and wireless communication antenna, can be spaced apart from the PCB and located opposite the PCB from the one or more sensors.

Abstract: A glucose monitoring system can make use of electrocardiograph (ECG) data and bioimpedance data acquired from a wearable device. The ECG data and bioimpedance data can each be processed to obtain a glucose level. These values can be processed together to obtain an adapted glucose value. In some cases, photoplethysmography data can also be used to assist in processing of the ECG data. The various types of data can be acquired from sensors on a wearable device. The wearable device can be removably coupled to a user's skin, such as via an adhesive substrate. In some cases, the wearable device can include a reusable electronics module that couples to replaceable electrodes on a replaceable adhesive substrate.

Abstract: A system for acquiring electrocardiograph (ECG) and bioimpedance (BI) data is disclosed. The system (an ECG/BI measurement system) can use as few as one or two pairs of electrodes, permitting wearable devices employing the ECG/BI measurement system to be made into smaller, more comfortable, and more inconspicuous formats, as well as decreasing potential failure points in the measurement of electrical signals conducted between the system and the user. The system can measure both ECG and BI data using at least one shared pair of electrodes. In some cases, ECG and BI data are separately extracted from a measured signal across a shared pair of electrodes, while another pair of electrodes is being driven with a supply current. In other cases, internal switching can automatically switch a pair of electrodes between ECG-measuring circuitry and BI-measuring circuitry, such as based on a clock signal or other trigger.

Abstract: A multi-sensor auscultation device is disclosed that can be applied to or worn by a user to monitor multiple physiological systems of the user. The multi-sensor auscultation device can make use of two or more acoustic sensors, such as accelerometer contact microphones (ACMs), to collect acoustic data from multiple locations on the user's body. The multi-sensor auscultation device can include electrodes for detecting cardiac electrical activity and/or assessing the user's bioimpedance. The multi-sensor auscultation device can provide useful data associated with the user's cardiovascular system, respiratory system, and/or electrical characteristics. The multi-sensor auscultation device can be in the form of a reusable electronics module couplable to a disposable patch adhesive.

Abstract: A multi-sensor smart patch is disclosed that can be worn by a user to monitor multiple physiological systems of the user. The multi-sensor smart patch can make use of two or more acoustic sensors, such as accelerometer contact microphones (ACMs), to collect acoustic data from multiple locations on the user's body. The multi-sensor smart patch can include electrodes for detecting the heart's electrical activity and/or assessing the user's bioimpedance. The multi-sensor smart patch can provide useful data associated with the user's cardiovascular system, respiratory system, and electrical characteristics. The multi-sensor smart patch can be in the form of a reusable electronics module couplable to a disposable patch adhesive.

Abstract: A glucose monitoring system can make use of electrocardiograph (ECG) data and bioimpedance data acquired from a wearable device. The ECG data and bioimpedance data can each be processed to obtain a glucose level. These values can be processed together to obtain an adapted glucose value. In some cases, photoplethysmography data can also be used to assist in processing of the ECG data. The various types of data can be acquired from sensors on a wearable device. The wearable device can be removably coupled to a user's skin, such as via an adhesive substrate. In some cases, the wearable device can include a reusable electronics module that couples to replaceable electrodes on a replaceable adhesive substrate.

Abstract: A system for acquiring electrocardiograph (ECG) and bioimpedance (BI) data is disclosed. The system (an ECG/BI measurement system) can use as few as one or two pairs of electrodes, permitting wearable devices employing the ECG/BI measurement system to be made into smaller, more comfortable, and more inconspicuous formats, as well as decreasing potential failure points in the measurement of electrical signals conducted between the system and the user. The system can measure both ECG and BI data using at least one shared pair of electrodes. In some cases, ECG and BI data are separately extracted from a measured signal across a shared pair of electrodes, while another pair of electrodes is being driven with a supply current. In other cases, internal switching can automatically switch a pair of electrodes between ECG-measuring circuitry and BI-measuring circuitry, such as based on a clock signal or other trigger.

Abstract: Described herein are snow removal machines having at least one auxiliary snow moving member. According to some embodiments, the snow removal machines comprise: an auger assembly for directing snow rearwards to be received by a discharge chute, the auger assembly having auger blade(s) coupled to an auger axle for rotation therewith about a first axis defined by the auger axle; an auxiliary snow moving assembly for directing snow rearwards to be received by the discharge chute, the auxiliary snow moving assembly having snow moving member(s) coupled to an auxiliary axle for rotation therewith about a second axis defined by the auxiliary axle, wherein the auxiliary axle is lower and rearwards of the auger axle towards the discharge chute; and an auxiliary drive assembly configured to rotationally couple the auxiliary axle to the auger axle such that rotation of the auxiliary axle is driven by rotation of the auger axle.