A transcutaneous wearable device (700, 2000) for treating tremor in a patient, the device comprising: a decision unit (100, 702); a first peripheral nerve effector (102, 730, 1500, 1602) comprising at least one transcutaneous stimulation electrode (102, 730, 1500, 1602), wherein the first peripheral nerve effector is configured to position the at least one transcutaneous stimulation electrode in contact with the patient's skin surface above a first afferent nerve selected from the group consisting of a radial nerve (650, 870), an ulnar nerve (630, 860), and a median nerve (104, 620, 850), and wherein the at least one transcutaneous stimulation electrode is configured to modulate an afferent pathway of the selected first afferent nerve; at least one biomechanical sensor (780, 1710, 1730) configured to measure movement of the patient's extremity to characterize one or more features of the tremor, the one or more features of the tremor selected from the group consisting of tremor frequency, tremor period, and tremor magnitude; wherein the decision unit comprises a processor and a memory for storing instructions that, when executed by the processor, cause the device to: measure the movement of the patient's extremity using a measurement unit to generate motion data; determine one or more of the tremor frequency, tremor period and tremor magnitude based on an analysis of the motion data; set one or more parameters of a first electrical stimulus based on the characterization of the one or more features of the tremor; and deliver the first electrical stimulus transcutaneously to the selected first afferent nerve through the first peripheral nerve effector (102, 730) to reduce tremor in the patient's extremity by reducing synchronicity in a brain network and modifying the patient's neural network dynamics. a decision unit (100, 702); a first peripheral nerve effector (102, 730, 1500, 1602) comprising at least one transcutaneous stimulation electrode (102, 730, 1500, 1602), wherein the first peripheral nerve effector is configured to position the at least one transcutaneous stimulation electrode in contact with the patient's skin surface above a first afferent nerve selected from the group consisting of a radial nerve (650, 870), an ulnar nerve (630, 860), and a median nerve (104, 620, 850), and wherein the at least one transcutaneous stimulation electrode is configured to modulate an afferent pathway of the selected first afferent nerve; at least one biomechanical sensor (780, 1710, 1730) configured to measure movement of the patient's extremity to characterize one or more features of the tremor, the one or more features of the tremor selected from the group consisting of tremor frequency, tremor period, and tremor magnitude; wherein the decision unit comprises a processor and a memory for storing instructions that, when executed by the processor, cause the device to: measure the movement of the patient's extremity using a measurement unit to generate motion data; determine one or more of the tremor frequency, tremor period and tremor magnitude based on an analysis of the motion data; set one or more parameters of a first electrical stimulus based on the characterization of the one or more features of the tremor; and deliver the first electrical stimulus transcutaneously to the selected first afferent nerve through the first peripheral nerve effector (102, 730) to reduce tremor in the patient's extremity by reducing synchronicity in a brain network and modifying the patient's neural network dynamics. measure the movement of the patient's extremity using a measurement unit to generate motion data; determine one or more of the tremor frequency, tremor period and tremor magnitude based on an analysis of the motion data; set one or more parameters of a first electrical stimulus based on the characterization of the one or more features of the tremor; and deliver the first electrical stimulus transcutaneously to the selected first afferent nerve through the first peripheral nerve effector (102, 730) to reduce tremor in the patient's extremity by reducing synchronicity in a brain network and modifying the patient's neural network dynamics.