The present disclosure is directed to multichannel transducer devices and methods of operation thereof. One example device includes at least two acquisition modules that have different sensitives and a signal processing stage that generates a blended signal representative of a lower gain signal mapped onto a higher gain signal. One example method of operation includes receiving a first signal from a first sensor having a first sensitivity, receiving a second signal from a second sensor having a second sensitivity that is different from the first sensitivity, generating a blended signal by mapping the second signal to the first signal, outputting the first signal while the first signal is below a first threshold and above a second threshold, and outputting the blended signal when the first signal is above the first threshold and when the first signal is below the second threshold.

The present disclosure is directed to multichannel transducer devices and methods of operation thereof. One example device includes at least two acquisition modules that have different sensitives and a signal processing stage that generates a blended signal representative of a lower gain signal mapped onto a higher gain signal. One example method of operation includes receiving a first signal from a first sensor having a first sensitivity, receiving a second signal from a second sensor having a second sensitivity that is different from the first sensitivity, generating a blended signal by mapping the second signal to the first signal, outputting the first signal while the first signal is below a first threshold and above a second threshold, and outputting the blended signal when the first signal is above the first threshold and when the first signal is below the second threshold.

The present disclosure is directed to multichannel transducer devices and methods of operation thereof. One example device includes at least two acquisition modules that have different sensitives and a signal processing stage that generates a blended signal representative of a lower gain signal mapped onto a higher gain signal. One example method of operation includes receiving a first signal from a first sensor having a first sensitivity, receiving a second signal from a second sensor having a second sensitivity that is different from the first sensitivity, generating a blended signal by mapping the second signal to the first signal, outputting the first signal while the first signal is below a first threshold and above a second threshold, and outputting the blended signal when the first signal is above the first threshold and when the first signal is below the second threshold.

An angle detector includes an intersection phase detector to compare each pair of multiple sensor signals or multiple sensor processed signals generate and output each intersection phase detection signal indicating a phase at which the signal level difference of the each pair is a first maximum hysteresis error after signal levels of signals of the each pair match, an intersection level detector to detect each intersection level and generate and output multiple intersection level signals indicating the detected intersection level, a signal selector to single out a selection signal of the either of the multiple sensor signals or the multiple sensor processed signals; a phase detector to detect that a signal level of the selection signal selected by the signal selector has reached a threshold level and a threshold level adjuster to adjust the threshold level based on the intersection level signal and the first maximum hysteresis error.

Mobile or wearable devices can process physiological signals (e.g., ECG signals) for display on the mobile or wearable device. The device can comprise a physiological sensor and processing circuitry coupled to the physiological sensor. In some examples, the processing circuitry can determine the dynamic range of the ECG signal and determine whether the ECG signal should be scaled based on the dynamic range of the ECG signal. The processing circuitry can determine a scaling factor and apply the scaling factor to the ECG signal. The scaled ECG signal can be displayed on the display of the mobile or wearable device. In some examples, the scaling can be performed in real-time. In some examples, the scaling can be applied to ECG signals using a scaling factor determined based on the analysis and processing of an ECG signal from a previous time period.

Mobile or wearable devices can process physiological signals (e.g., ECG signals) for display on the mobile or wearable device. The device can comprise a physiological sensor and processing circuitry coupled to the physiological sensor. In some examples, the processing circuitry can determine the dynamic range of the ECG signal and determine whether the ECG signal should be scaled based on the dynamic range of the ECG signal. The processing circuitry can determine a scaling factor and apply the scaling factor to the ECG signal. The scaled ECG signal can be displayed on the display of the mobile or wearable device. In some examples, the scaling can be performed in real-time. In some examples, the scaling can be applied to ECG signals using a scaling factor determined based on the analysis and processing of an ECG signal from a previous time period.