Participants are requested to wear the wristbands throughout the experiment, and upload their data every three days. Additionally, the Hamilton Depression Rating Scale (HAMD) and the Young Mania Rating Scale (YMRS) are administered once a week for measurement.

Participants are requested to wear the wristbands throughout the experiment, and upload their data every three days. Additionally, the Hamilton Depression Rating Scale (HAMD) and the Young Mania Rating Scale (YMRS) are administered once a week for measurement.

the interval between heart beats derived from Photoplethysmography (PPG)

Hamilton Depression Rating Scale (HAM-D) is the most widely used clinician-administered depression assessment scale. The original HAM-D has 21 items, but scoring is based only on the first 17. The patient is rated by a clinician on 17 items scored on a 5-point Likert-type scale. The total score ranges from 0 to 68. A score of 0-7 is considered to be normal while a score of 20 or higher (indicating at least moderate severity) is usually required for entry into a clinical trial.

The Young Mania Rating Scale (YMRS) is one of the most frequently utilized rating scales to assess manic symptoms. The scale has 11 items and is based on the patient's subjective report of his or her clinical condition over the previous 48 hours. Additional information is based upon clinical observations made during the course of the clinical interview. The items are selected based upon published descriptions of the core symptoms of mania. The YMRS follows the style of the Hamilton Rating Scale for Depression (HAM-D) with each item given a severity rating. There are four items that are graded on a 0 to 8 scale (irritability, speech, thought content, and disruptive/aggressive behavior), while the remaining seven items are graded on a 0 to 4 scale. Here's a quick list of what each score range may indicate in a patient: Less than or equal to 12 = remission; 13 -19 = minimal symptoms; 20 - 25 = mild mania; 26 - 37 = moderate mania; 38 - 60 = severe mania

TP/(TP + FN) = (Number of true positive assessment)/(Number of all positive assessment) It measures the performance of the predictive model based on the primary outcome.