Physiological signals offer an effective avenue for monitoring various health conditions, with studies utilizing ECG, EMG, and PPG unveiling insights into complex diseases. In this context, we present diverse techniques for monitoring physiological signals in wearable applications for both human and animal disease models. Primarily, we enable the wearable monitoring of ECG and EMG signals. These signals are captured during regular daily activities and securely stored on a data server, facilitating analysis by physicians. Moreover, ECG data can be analyzed on edge devices using machine learning algorithms for blood pressure and arrhythmia detection. Any irregularities trigger notifications to the subject and prompt alerts to hospitals for swift intervention. In certain cases, particularly animal experiments, miniaturization is essential. Vital signal monitoring in small animals, like mice, remains a challenge, addressed here through techniques including miniaturized electrodes. This is critical for effective therapy and treatment in animal disease models. Furthermore, electrical stimulation finds application in medication. We showcase an approach involving electrical stimulation and microneedles, mimicking electro-acupuncture treatment. The concurrent monitoring of EMG signals detects muscle fatigue or over-stimulation. This integrated stimulation and monitoring system is structured within a patch for everyday use. These wearable strategies form the cornerstone of remote healthcare therapy, synergizing seamlessly with Korean medicine practices, holding great promise for improved healthcare outcomes.