license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# HealthVitalSigns

tags: anomaly detection, biometrics, prediction

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'HealthVitalSigns' dataset comprises biometric data collected from wearable devices, including heart rate, blood pressure, respiration rate, and body temperature. Each record represents a timestamped entry from multiple sensors and includes labeled instances for anomaly detection. The labels indicate whether a particular set of readings suggests an anomaly that may require medical attention. This dataset is ideal for training machine learning models to predict potential health issues from biometric data.

**CSV Content Preview:**

```
Timestamp,HeartRate,BloodPressure,RespirationRate,Temperature,Label
2023-01-01T12:00:00,75,120/80,16,98.6,Normal
2023-01-01T12:05:00,88,135/85,18,99.1,Normal
2023-01-01T12:10:00,115,160/100,20,101.2,Anomaly
2023-01-01T12:15:00,68,110/70,15,98.4,Normal
2023-01-01T12:20:00,72,125/82,16,98.7,Normal
2023-01-01T12:25:00,110,145/92,22,100.5,Anomaly
2023-01-01T12:30:00,80,130/86,17,98.6,Normal
2023-01-01T12:35:00,78,128/84,18,98.9,Normal
2023-01-01T12:40:00,118,155/95,23,101.5,Anomaly
2023-01-01T12:45:00,70,115/75,16,98.5,Normal
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=HealthVitalSigns&tags=anomaly+detection,+biometrics,+prediction
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
