We report method of detecting a pathological body state of a patient, comprising receiving a body signal of the patient; determining a body index from said body signal; determining an activity level of said patient; determining a value range for said body index for said patient, based at least in part on said activity level; comparing said body index to said value range; and detecting a pathological state when said body index is outside said value range. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Detection of placement of dental aligners in patient mouth on teeth for indication of wearing compliance. Described herein are apparatuses and methods for detecting wearing, including compliance. In some variations these apparatuses and methods may include a sensor configured to detect deflection of the one or more deflectable structures. In some variations, these apparatuses and methods may include a proximity sensor coupled to the appliance shell and configured to generate sensor data when in proximity with intraoral tissue.

Detection of placement of dental aligners in patient mouth on teeth for indication of wearing compliance. Described herein are apparatuses and methods for detecting wearing, including compliance. In some variations these apparatuses and methods may include a sensor configured to detect deflection of the one or more deflectable structures. In some variations, these apparatuses and methods may include a proximity sensor coupled to the appliance shell and configured to generate sensor data when in proximity with intraoral tissue.

A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.

A measured signal amplifier (1) amplifies an EMG sensor signal (E). The measured signal amplifier (1) includes a sensor interface (2) for receiving the EMG sensor signal (E), at least one device interface (3) for receiving an electrical energy signal as well as for transmitting a processed signal (V), an electrically chargeable energy storage device (4) and at least one computer (5). The computer (5) is configured to derive a processed signal (V) from the EMG sensor signal (E) and to control the charging of the energy storage device (4) by the electrical energy signal as a function of the EMG sensor signal (E) received from the sensor interface (2).

A measured signal amplifier (1) amplifies an EMG sensor signal (E). The measured signal amplifier (1) includes a sensor interface (2) for receiving the EMG sensor signal (E), at least one device interface (3) for receiving an electrical energy signal as well as for transmitting a processed signal (V), an electrically chargeable energy storage device (4) and at least one computer (5). The computer (5) is configured to derive a processed signal (V) from the EMG sensor signal (E) and to control the charging of the energy storage device (4) by the electrical energy signal as a function of the EMG sensor signal (E) received from the sensor interface (2).

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

A system and method is used to monitor, control, and/or provide feedback relative to one or more factors related to a patient's body, such as a shoulder, pursuant to a treatment process. The system monitors, controls, and/or provides feedback relative to shoulder factors including shoulder motion, shoulder muscle contraction, and external pressure on the shoulder.

Aspects of the present disclosure are directed to devices, systems, and methods for optimized integration of a human operator with a machine for safe and efficient operation. Accordingly, aspects of the present disclosure are directed to systems, methods, and devices which evaluate and determine a cognitive state of an operator, and allocate tasks to either the machine and/or operator based on the cognitive state of the operator, among other factors.

A processing apparatus for processing a physiological signal using model subtraction, notch filtering and gating. The processing apparatus comprises a model subtraction circuit configured to receive the physiological signal and to reduce a first unwanted signal component, such as an ECG contamination, in the physiological signal by subtracting from the physiological signal a model of the first unwanted signal component to obtain a residual signal; a filter circuit configured to receive the residual signal and to reduce a second unwanted signal component, such as power line noise, in the residual signal by applying a notch filter to obtain a filtered signal; and a gating circuit configured to receive the filtered signal and to apply gating to the filtered signal to obtain a gated signal. The processing apparatus further relates to a corresponding electromyography system and a method for processing a physiological signal using model subtraction, notch filtering and gating.