A finger-wearable blood pressure monitoring device, the device comprising: a cuff; a tactile sensor array disposed on or adjacent to an inward facing surface of the cuff, wherein the tactile sensor array includes a plurality of sensors; and control circuitry coupled to the tactile sensor array, the control circuitry including logic that when executed by the control circuitry causes the finger-wearable blood pressure monitoring device to perform operations including: monitoring, over a first time period, a pressure applied to each of the plurality of sensors by a digital artery of a finger; generating a plurality of tactile waveforms in response to monitoring the pressure, wherein each of the plurality of tactile waveforms corresponds to the pressure applied to a respective one of the plurality of sensors over the first time period; decomposing each of the plurality of tactile waveforms into a lowpass component and a bandpass component via one or more filters (620, 640), wherein the lowpass component corresponds to the pressure applied over the first time period, and wherein the bandpass component corresponds to fluctuations of the pressure over the first time period due, at least in part, to blood flow within the digital artery; extracting features from both of the lowpass component and the bandpass component of each of the plurality of tactile waveforms; and calculating systolic blood pressure and diastolic blood pressure estimates using regularized linear regression on the features extracted from both the lowpass component and the bandpass component of each of the plurality of tactile waveforms. a cuff; a tactile sensor array disposed on or adjacent to an inward facing surface of the cuff, wherein the tactile sensor array includes a plurality of sensors; and control circuitry coupled to the tactile sensor array, the control circuitry including logic that when executed by the control circuitry causes the finger-wearable blood pressure monitoring device to perform operations including: monitoring, over a first time period, a pressure applied to each of the plurality of sensors by a digital artery of a finger; generating a plurality of tactile waveforms in response to monitoring the pressure, wherein each of the plurality of tactile waveforms corresponds to the pressure applied to a respective one of the plurality of sensors over the first time period; decomposing each of the plurality of tactile waveforms into a lowpass component and a bandpass component via one or more filters (620, 640), wherein the lowpass component corresponds to the pressure applied over the first time period, and wherein the bandpass component corresponds to fluctuations of the pressure over the first time period due, at least in part, to blood flow within the digital artery; extracting features from both of the lowpass component and the bandpass component of each of the plurality of tactile waveforms; and calculating systolic blood pressure and diastolic blood pressure estimates using regularized linear regression on the features extracted from both the lowpass component and the bandpass component of each of the plurality of tactile waveforms. monitoring, over a first time period, a pressure applied to each of the plurality of sensors by a digital artery of a finger; generating a plurality of tactile waveforms in response to monitoring the pressure, wherein each of the plurality of tactile waveforms corresponds to the pressure applied to a respective one of the plurality of sensors over the first time period; decomposing each of the plurality of tactile waveforms into a lowpass component and a bandpass component via one or more filters (620, 640), wherein the lowpass component corresponds to the pressure applied over the first time period, and wherein the bandpass component corresponds to fluctuations of the pressure over the first time period due, at least in part, to blood flow within the digital artery; extracting features from both of the lowpass component and the bandpass component of each of the plurality of tactile waveforms; and calculating systolic blood pressure and diastolic blood pressure estimates using regularized linear regression on the features extracted from both the lowpass component and the bandpass component of each of the plurality of tactile waveforms.