Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems for transcribing a media file using a human intelligence task service and/or reinforcement learning are provided. The disclosed systems and methods provide opportunities for a segment of the input media file to be automatically re-analyzed, re-transcribed, and/or modified for re-transcription using a human intelligence task (HIT) service for verification and/or modification of the transcription results. The segment can also be reanalyzed, reconstructed, and re-transcribed using a reinforcement learning enabled transcription model.

Abstract: A patient monitoring system to help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. The system includes a patient-worn wireless sensor that senses the patient's orientation and wirelessly transmits information indicative of the sensed orientation to a patient monitor. The patient monitor receives, stores, and processes the transmitted information. It also displays and transmits information indicative of the patient's orientation to help caregivers manage the patient's risk of formation of one or more pressure ulcers. The patient monitor detects patient turns from one position to another. The system can identify the present orientation of the patient and determine how long the patient has been in the present orientation. If the patient remains in an orientation beyond a predefined duration, the system can notify the patient and/or caretakers that the patient is due to be repositioned.

Abstract: 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.

Abstract: Methods and systems for transcribing a media file using reinforcement learning are provided. In one aspect, the method includes: identifying a low confidence of accuracy portion from a transcription result of the media file; constructing a phoneme sequence that includes an audio segment corresponding to the identified low confidence of accuracy portion, based on at least on a reward function; creating a new audio waveform based at least on the constructed phoneme sequence; and generating a new transcription using a transcription engine based on the new audio waveform.

Abstract: 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.

Abstract: A method of transcription a media file is provided. The method includes: generating a feature profile for a media file; segmenting the media file into a first and a second segment based at least on portion(s) of the feature profile corresponding to the first and second segments, identifying one or more transcription engines having a predicted high level of accuracy, using a trained machine learning transcription model, for the first and second segments; requesting a first and a second transcription engine from the identified one or more transcription engines to transcribe the first and second segments, respectively; receiving a first and a second transcribed portion from the first and second transcription engines; and generating a merged transcription using the first and second transcribed portions.

Abstract: A system for optimizing the selection of transcription engines is provided. The system includes an alphanumeric preprocessor, an audio analysis preprocessor, a categorical preprocessor, and a continuous variable preprocessor which is configured to receive outputs from the alphanumeric, the audio analysis, and the categorical preprocessors and to generate data used by a modeling module to create a list of ranked transcription engines. The transcription engines are used to generate transcriptions of media data sets.

Abstract: A method of transcription a media file is provided. The method includes: receiving, from a first transcription engine, one or more transcribed portions of a media file; identifying a first transcribed portion from the one or more transcribed portions that needs to be reexamined based at least on metadata of the media file; selecting a second transcription engine to transcribe a first segment of the media file corresponding to the first transcribed portion; receiving, from the second transcription engine, a second transcribed portion of the first segment; determining confidences of accuracy of the first and second transcribed portions of the first segment based at least on metadata of the first and second transcribed portions, respectively; and selecting the first or second transcribed portion as transcript for the first segment of the media file based at least on confidences of accuracy of the first and second transcribed portions.

Abstract: 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.

Abstract: A patient monitoring system to help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. The system includes a patient-worn wireless sensor that senses the patient's orientation and wirelessly transmits information indicative of the sensed orientation to a patient monitor. The patient monitor receives, stores, and processes the transmitted information. It also displays and transmits information indicative of the patient's orientation to help caregivers manage the patient's risk of formation of one or more pressure ulcers. The patient monitor detects patient turns from one position to another. The system can identify the present orientation of the patient and determine how long the patient has been in the present orientation. If the patient remains in an orientation beyond a predefined duration, the system can notify the patient and/or caretakers that the patient is due to be repositioned.