Neurometrix, Inc.

Vigilant Networks LLC

Cambridge Heart, Inc.

Srivathsan Krishnamachari

Neil Judell

Brian H Tracey

Shai N Gozani

Xuan Kong

Michael L Williams

Ali Haghighi-Mood

A method for the automated removal of a stimulus artifact from an electrophysiological signal waveform, wherein the novel method comprises:

Automated stimulus artifact removal for nerve conduction studies

A method for the assessment of neuromuscular function by the detection and classification of late wave activity, comprising: (i) pre-processing an ensemble of traces so as to attenuate noise, PFI and baseline disturbances; (ii) identifying time segments of late wave activity in the ensemble of traces; (iii) classifying the time segments of late wave activity into F-wave, A-wave and Repeater segments by exploiting the variable morphology of F-waves across the traces and the fixed morphology of A-waves and Repeater waves across the traces; and (iv) searching the traces in the vicinity of the F-wave trace segments on a trace-by-trace basis so as to identify the F-wave onset latency.

Detection and classification of neuromuscular late wave activity for the assessment of neuromuscular function

A signal-based cable attenuation measurement device, system and methodology provides measurement of attenuation characteristics of a cable over a wide frequency spectrum. Located at a single location on a cable, a measurement device injects a signal on to the cable under measurement and receives the reflected signal, recording physical characteristics of the cable in response to the signal. A model, calibrated to estimate the effects of the cable with known impedances, evaluates the waveform generated from the cable's response to the signal and computes attenuation of the cable as a function of frequency. In some circumstances, when low signal-to-noise effects result, normally at high frequencies in long cables, the attenuation of the cable is further fitted to the model to correct the errors that occur as a result of the low signal-to-noise effects.

Single ended attenuation measurement

A computer network includes a transmitter, a receiver, and a communication channel system interconnecting the transmitter and receiver. All components in the system may be physical equipment or may be models having predefined operational characteristics. The predefined operational characteristics may be monitored or modified to obtain benchmarking and error rates for the computer network.

System and method to determine data throughput in a communication network

Interpreting alternans data includes accessing alternans data and automatically evaluating the alternans data to produce one or more interpretation parameters based on the alternans data. The interpretation parameters are used to generate interpretation results related to the alternans data. Finally the interpretation results are made accessible for examination.

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Cambridge, MA, United States of America

Srivathsan Krishnamachari